Framing Futures: Familial Influence and the Impressionistic Psychology of Adolescent Career Choice

Framing Futures: Familial Influence and the Impressionistic Psychology of Adolescent Career Choice | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Framing Futures: Familial Influence and the Impressionistic Psychology of Adolescent Career Choice Rashid Shar Baloch This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8059035/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This research studies the impressionistic psychology behind adolescent career choices and the decisive influence of familial support within the evolving context of career selection and recruitment. Drawing on psychological theory, sociocultural analysis, and empirical data, the study reframes career decision-making as an affective and impressionistic process rather than a solely rational or aptitude-based act. A mixed-methods approach was employed through the administration of structured questionnaires to 9th &11th grade students from diverse urban and rural educational institutions. The findings reveal that familial support is not merely advisory but emotionally curative and symbolically directive, influencing procedural knowledge, aspiration structures, and persistence in chosen career paths. Female students experienced heightened inner conflict, balancing familial expectations with professional ambitions, while lower-income students viewed careers as symbols of upward mobility. The research underscores that adolescent career choice is best understood as a refine emotional narrative, shaped by symbolic associations and cultural imprints. The study recommends family-inclusive career education, procedural literacy programs, and a reframing of national policy to acknowledge the emotional, psychological, and cultural realities influencing adolescent career development. Educational Psychology Sociology Psychology Adolescent psychology Career decision-making Familial support Impressionistic psychology Selection and recruitment Gendered aspirations Procedural literacy Sociocultural influences 1. INTRODUCTION The architecture of human identity is constructed not in solitude but amid a web of formative impressions, familial echoes, and social scripts. Nowhere is this truer than in the impressionable minds of adolescents, for whom the act of choosing a career path becomes not merely a utilitarian decision, but a deeply psychological and often subconscious negotiation between self-perception and social expectation. Within this crucible of development, the institution of the family looms large, not as a passive backdrop, but as an active, potent force shaping vocational aspirations through subtle cues, overt encouragements, and even silent disapprovals. Through its multifaceted roles, the family imparts a sense of identity, belonging, and cultural continuity to its members. In doing so, it profoundly shapes an individual’s worldview and social identity. To bridge the poetic with the empirical, this study translates its impressionistic framework into measurable constructs through the following indicators: Construct Operational Definition Instrument/Measure Familial Support Degree of emotional, informational, and instrumental backing provided by family members toward career aspirations Survey items rated on Likert scale Career Impressions Subjective affective evaluations of various careers formed through family, media, and school experiences Thematic analysis of open-ended responses Awareness of Recruitment Processes Student knowledge of how selection, application, and evaluation processes work in target careers Multiple-choice and scenario-based items Decision-Making Confidence Student’s self-perceived clarity and confidence in their career trajectory Psychometric scale adapted from SCCT inventories Socioeconomic Context Parent education, household income, school type (public/private), and geographical context Demographic data This operational framework aims not to oversimplify the impressionistic domain, but to capture its echoes, its fingerprints, in the choices and self-perceptions of adolescents standing at the crossroads of their futures. It is within this framework, an impressionistic psychological paradigm, that the current research is situated. Impressionistic psychology, a term inspired by the artistic movement that eschewed the precise for the perceptual, recognizes that human decision-making, especially in formative years, is shaped less by logical deduction than by felt impressions, transient emotions, perceived expectations, and the internalization of surrounding narratives. Career decisions made by adolescents are rarely the product of calculated planning alone; rather, they are colored, shaded, even skewed by emotional tones, symbolic meanings, and familial narratives that the adolescent absorbs over time. The family, as the primal theatre of early life, operates both as canvas and brush in this process constructing, contouring, and sometimes distorting the adolescent’s vocational self-concept. Unlike institutional guidance systems, which typically emerge later in a student’s academic life, familial influence begins at birth and subtly pervades every stage of cognitive, emotional, and social development. These influences, whether delivered through parental modeling, aspirational projection, or direct intervention, become etched into the adolescent’s psychological landscape in ways that often resist conscious detection. This impressionistic layering of familial guidance, sometimes contradictory, often unarticulated, culminates during the critical years when students begin to make career-defining decisions. Beyond its function as an agent of socialization, the family operates as a fundamental support system, offering emotional, psychological, and material sustenance to its members. It often serves as the first line of defense in times of adversity, providing comfort and security amidst hardship. The familial bond, rooted in affection and mutual care, acts as a buffer against life’s uncertainties, fostering resilience and holistic well-being. Eriksonian developmental theory places career exploration and commitment at the heart of the "identity vs. role confusion" stage, typically spanning adolescence and in this liminal psychological territory, familial influence can serve either as a compass or a constraint. Adolescents seek autonomy, yet remain tethered, emotionally, financially, and morally to the family unit, this duality creates a dynamic tension: the desire to differentiate from the family, and the simultaneous need to gain its approval. The resulting career decisions often emerge not from a place of cognitive clarity, but from emotional negotiation, compromise, and internalized impression. Traditional career development theories, such as Holland’s typology (1997) or Super’s life-span, life-space theory (1990), have long emphasized rational, interest-based, or developmental models of career decision-making. While valuable, these frameworks often presume a level of objectivity and cognitive maturity that may not align with the lived experience of adolescents navigating complex social worlds. The impressionistic model, by contrast, recognizes that adolescent career choices are shaped by affective filters, incomplete information, transient motivations, and psychosocial stimuli. In other words, the adolescent is not a strategic planner, but an emotional cartographer, sketching out future possibilities in hues drawn from family, culture, and perceived opportunity. Empirical findings increasingly support this psychological distinction. For example, research by Blustein et al. (2002) emphasizes the relational context of career decision-making, underscoring how attachment, support, and familial affirmation contribute significantly to vocational identity formation. Likewise, Dietrich and Kracke ( 2009 ) point to the crucial role of perceived parental support in both the exploration and commitment phases of career development. Such findings challenge the purely individualistic models of career choice, inviting a reconceptualization that situates the adolescent within a matrix of relationships and impression-driven cognition. The specific mechanisms through which families influence adolescent career choices are multifaceted, parental expectations, whether communicated explicitly or inferred subtly create a psychological environment within which certain careers are valorized while others are stigmatized or ignored. Familial narratives (e.g., “We’re a family of doctors”, or “No one in this house works with their hands”) exert a gravitational pull on the adolescent psyche, often without direct coercion. In impressionistic terms, these narratives act like brushstrokes on an emotional canvas, not directives, but suggestions, shaping the contours of career imagination. Economic realities intersect with psychological impressions, adolescents from lower-income families may be implicitly encouraged to pursue “practical” or “safe” careers, while those from more affluent backgrounds might be afforded the luxury of exploring abstract passions. Here, impressionistic psychology intersects with structural inequality, the felt sense of possibility or limitation is itself an impression formed by the family’s socioeconomic status, educational capital, and occupational networks. Emotional availability, parental modeling, educational background, and even intergenerational trauma play roles in this shaping process. Some adolescents are subtly taught to avoid “risky” professions because of family histories marked by economic instability or immigration struggle, others internalize high expectations as a form of familial redemption. These emotional undercurrents largely unspoken, sometimes unconscious are the very substance of the impressionistic psychological forces guiding career choice. Adolescents tend to feel more secure and confident in making career choices when they possess a deeper understanding of the requirements and pathways within their chosen fields. However, career decision-making is inherently complex, shaped by a constellation of internal dispositions and external circumstances. Many studies have observed that students often approach the selection of academic majors with hesitation, uncertainty, and emotional ambivalence. For many, this is a period of transition—marked by evolving identities and competing influences—making the task of planning for the future both daunting and deeply personal. Buck and Daniels ( 1985 ), Astin ( 1991 ), and Lewallen ( 1992 ) have all maintained that: "Initial choices of academic major and career choice can only be viewed as tentative at best, and trying to predict persistence based on initial major or career choice is akin to attempting to hit a moving target" (p. 152–153). Dietrich and Kracke ( 2009 ) reported that occupational prospects, coupled with knowledge about related issues, hold significant importance in career decision-making. They recommended that; “Future research should also address variables that more specifically address occupational exploration such as discussions of occupational prospects, questions concerning the balance of adolescents’ interests and job demands, or suggestions to check out educational prerequisites of different professions” (p. 109). Building upon Dietrich and Kracke's (2009) examination of vocational interests and demand variables, as well as their recommendations for future research in this domain, the present study assumes that familial support plays a significant role in shaping students' perceptions of the selection and recruitment processes criteria within their career choices, thereby influencing their career decision-making. 2. LITERATURE REVIEW Classical career development theories, while foundational, offer only partial glimpses into this complexity. Holland's (1997) Theory of Vocational Personalities and Work Environments, for example, posits that individuals gravitate toward careers that are congruent with their personality types (RIASEC: Realistic, Investigative, Artistic, Social, Enterprising, Conventional). Although widely utilized and validated, Holland’s model assumes a stable self-concept and relatively uninfluenced volition conditions that are, prima facie , questionable during adolescence, when the very sense of "self" is still under construction. Similarly, Super’s (1990) Life-Span theory emphasizes the evolving nature of career development across the lifespan and introduces stages such as growth, exploration, establishment, maintenance, and decline. Super importantly highlights the role of self-concept, but again, the theory leans on a developmentally linear view of career crystallization that underestimates the non-linear, emotionally charged, and impression-driven reality of adolescent experience. In contrast, Social Cognitive Career Theory (SCCT), articulated by Lent, Brown, and Hackett (1994), provides a more distinctive framework by emphasizing self-efficacy beliefs, outcome expectations, and personal goals. SCCT recognizes the influence of learning experiences, social persuasion, and contextual affordances, including familial factors on career decision-making. However, even SCCT, for all its flexibility, tends to systematize affective and relational dimensions into variables and constructs, often sidestepping the fluid, poetic, and phenomenological nature of how young people feel into their futures rather than reason into them. Herein lies the conceptual aperture for what this study terms the “impressionistic psychology” of career choice, a psychological space where cognition is tinged with emotional residue, decision-making is saturated with affective symbolism, and external inputs are not evaluated logically, but internalized atmospherically. It is a conceptual lens that allows for a more authentic reading of adolescent career formation as a tapestry of impressions, not unlike the brushwork of a Monet painting, where perception, context, and mood converge to create meaning. The impressionistic formation of vocational preference occurs within what may be termed the adolescent’s psychological ecosystem, at the heart of which lies the family. Families provide not only material scaffolding and logistical support but also emotional narratives, symbolic messages, and tacit approval structures that influence how adolescents interpret the viability and desirability of certain careers. According to Ecological Systems Theory (Bronfenbrenner, 1979), the family constitutes the most immediate microsystem in which the developing adolescent is embedded. This environment exerts both direct and indirect influence over vocational ideation through parental expectations, conversations about the future, implicit modeling of work ethics, and observable outcomes of occupational choices. From a sociological standpoint, Bourdieu’s (1986) concepts of cultural capital and habitus offer valuable explanatory power. Cultural capital, the knowledge, credentials, and dispositions passed down through families, subtly shapes children’s understanding of which careers are accessible or desirable. Habitus, the internalized system of dispositions formed through one’s upbringing, frames the adolescent's posture toward opportunity, risk, and aspiration. These are not concrete teachings, but impressions, felt more than spoken, of what is “natural,” “respectable,” or “expected.” A wide array of familial factors profoundly shape students' career-related decisions. Among these, the roles of parents, siblings, and close relatives are particularly prominent. As suggested by foundational studies (Taylor & Betz, 1983 ; Fisher & Griggs, 1995 ; Broekemier & Seshadri, 1999 ; Kerka, 2000 ; Creed et al., 2005 ; Germeijs & Verschueren, 2006 ; Edwards & Quinter, 2011 ), these family figures serve as early and enduring socializers. The influence of parents, especially mothers and fathers, is frequently cited as paramount, largely due to the emotional closeness and sense of belonging fostered within the family unit. Other relatives, such as siblings, maternal uncles, and aunts, have also been noted to exert substantial influence over students' occupational orientations (Stacy, 2003 ; Germeijs & Verschueren, 2006 ; Edwards & Quinter, 2011 ). Family members differ in the direction and intensity of their influence, but the cumulative effect is consistently significant. A robust body of literature affirms that familial and extended kinship networks exert considerable sway over individual career choices (Adriansyah, Zulaihati, & Susanti, 2023 ; Arthur, Lei, & Woodend, 2023 ; Bin Haris Fadzilah et al., 2023 ; Chevrier, Untas, & Dorard, 2022 ; Eifler & Riemann, 2022; Jarvie-Eggart, Singer, & Mathews, 2020 ; Kumar, 2023 ; Lertora, Starkey, & Croffie, 2023 ; Liu & Morgan, 2020 ; Miller et al., 2022 ; Zhao, 2023 ). Conversely, a lack of effective communication between educators and parents can present significant academic and career-related challenges. Research by Harniss et al. ( 2001 ) and Munk et al. ( 2001 ) indicates that inadequate parent-teacher engagement can hinder students’ developmental trajectories and contribute to misaligned expectations. Thomas and Rallis ( 1991 ) further emphasized that family-based expectations and perceptions play a formative role in shaping career intentions, often beginning to crystallize during early adolescence and solidifying in early adulthood. The perceptions of key socializers, including parents, siblings, peers, and teachers, hold substantial sway over how students evaluate potential career paths, interpret success, and define future possibilities. In this context, parental social background emerges as a particularly salient factor in students’ vocational outcomes and their perseverance in the face of occupational challenges. This dichotomy is particularly salient in collectivist societies, where familial expectations carry not just psychological weight but moral and cultural imperatives. In such contexts, career choice becomes less a matter of individual preference and more a relational act, an arena where familial harmony, duty, and honor are at stake. Here, the adolescent is not merely choosing a profession but performing an identity aligned with, or resistant to, intergenerational legacy. Bidwell and Friedkin ( 1988 ), in their seminal work, identified three core pathways through which parents’ socioeconomic status correlates with students’ educational attainment, illustrating the systemic interplay between familial background and career development. The educational processes within middle- and upper-class families tend to foster the development of attitudes and traits that align with the requirements of a formal school learning environment. Upper-class families often provide superior learning resources, creating advantages for their children's educational outcomes. Students from upper-class backgrounds may experience preferential treatment, whether formally or informally, within the school system (Bidwell & Friedkin, 1988 , p. 452). In previous studies, researchers have consistently established robust correlations between parents' socioeconomic status and the educational achievements and occupational statuses of their children. These correlations have also served as predictive indicators for the strength of this effect (Schnabel et al., 2002 ). The significant relationship observed among these variables lays the foundation for students' choice of academic majors and their subsequent academic persistence (Tinto, 1975 ; Lent et al., 1984 ; Thomas & Rallis, 1991 ; Krumboltz & Mitchell, 1996 ; Stacy, 2003 , Chevrier, Untas, & Dorard, 2022 , Lertora, Starkey, & Croffie, 2023 ). Thus, parents' and relatives' involvement in a student's educational journey can have a profound and lasting impact on their life outcomes. It is well-established that academic determination has a distinctly positive association with appropriate career choices, a principle long recognized by professional vocational educational institutions; and awareness of the selection and recruitment process criteria exhibits a positive correlation with career choice persistence, leading to the actualization of one's chosen career (Meece et al., 1982 ; Cunha et al., 2007; Metheny et al., 2008 ; Dietrich & Kracke, 2009 , Rashid Shar, 2022). It is reasonable to expect that career choice persistence is directly linked to one's awareness and understanding of the selection criteria and processes associated with their chosen career. Bandura ( 1989 ) observed that many secondary school students often lack accurate knowledge or information about available occupational opportunities, which can hinder their ability to make informed career choices. Additionally, the positive and negative consequences they encounter can significantly influence their motivation and behavior (Cunha et al., 2007). This research identifies a critical lacuna in existing scholarship, the absence of a psychological framework that integrates affective impressionability, familial emotional climate, and the adolescent's intuitive, atmospheric processing of career-related information. In short, we lack a model that truly listens to how it feels to be an adolescent navigating career choice in real time, under familial influence. A notable gap in the existing literature regarding students' career choices and their awareness of the selection and recruitment processes. This research posits that the decision-making landscape is less a rational pathway and more a theatre of impressions, ephemeral, emotionally charged, and heavily influenced by familial ambiance, symbolic gestures, unspoken expectations, and culturally loaded norms. This impressionistic perspective, long recognized in literature and art, is now repurposed to reveal what the data-driven models have failed to capture: the emotional gestalt of adolescent career decision-making. Based on the reviewed literature, the following hypotheses have been developed: H1: Awareness about selection and recruitment processes is significantly correlated with students’ career decision-making H2: Familial support is significantly correlated with the academic persistence associated with students’ career choices. H3: Social support and socioeconomic class are significantly related to students’ career choices. H4: There exists a strong relationship between awareness of selection and recruitment processes and career choice persistence. 3. METHODOLOGY 3.1 Participants This study employed a multistage random sampling technique to ensure balanced representation from both rural and urban secondary schools. Within the selected institutions, participants were drawn from 9th to 11th-grade classes. The selection of specific classes was conducted in collaboration with school administrators to maintain procedural alignment and institutional support. As a result, a total of 386 students across grades 9 to 11 were included in the sample. Descriptive statistics were computed based on data collected from five high schools, two located in rural areas (n = 2) and three situated in urban settings (n = 3). Of the total participants, 130 students (33.7%) were female, and 256 students (66.3%) were male. The distribution by grade level was as follows: 36.5% were enrolled in 9th grade, 24.9% in 10th grade, and 38.6% in 11th grade. A significant majority (98.4%) of the participants were financially dependent on their families, while only 1.6% reported being self-supported. In terms of geographic background, 35.2% of the students resided in rural areas, whereas 64.8% came from urban localities within the region. The participants' ages ranged from 13 to 21 years, with a mean age of 15.2 years (SD = 1.70). A detailed summary of the demographic and descriptive statistics is presented in Table 1 below. 4. Procedure The methodological approach adopted in this study is purposefully aligned with its central research questions. Specifically, a survey-based research design was employed to explore the role of familial support in shaping students’ perceptions of selection and recruitment criteria related to their career decision-making processes. This approach allows for a systematic investigation of students’ subjective experiences and the social influences informing their vocational pathways. It is important to recognize that numerous theorists have argued that the factors influencing students’ career choices extend far beyond mere academic considerations. Career decision-making is a multifaceted phenomenon, shaped by a complex interplay of psychological, familial, and socio-environmental variables, underscoring the need for a more holistic analytical framework. Table 1Descriptive statistics Statistics Frequency Percent Students' Class Ninth Grade 141 36.5 Tenth Grade 96 24.9 Eleventh Grade 149 38.6 Students' Domicile Rural 136 35.2 Urban 250 64.8 Masters 125 32.4 Parents' Education Baccalaureate 136 35.2 Intermediate 28 7.3 Matric 80 20.7 Below Matric 17 4.4 Students' Financial Dependency Dependent 380 98.4 Self-Supported 6 1.6 Mean Students' Class Students' Marital Status Students' Domicile Students' Financial Dependency Parents' Age Parents' Education 2.021 1.987 1.648 1.016 1.746 2.295 St. D .8676 .1132 .4783 .1239 .5746 1.2404 The data collection process was executed in a systematic and ethically sound manner. Initial meetings were held with school administrators to explain the purpose and scope of the study and to obtain formal permission to administer the survey during scheduled classroom sessions. A total of 386 students, comprising 130 females and 256 males were randomly selected from various classes, with particular focus on students enrolled in the science stream. The sample represented a diverse range of domiciles, socioeconomic backgrounds, and demographic characteristics. Prior to participation, all students were provided with detailed information regarding the nature, objectives, and significance of the research. The questionnaire and study protocol were explained in clear, accessible language to ensure full comprehension. Participants were informed that their participation was entirely voluntary, and written informed consent was obtained from each respondent. The final survey instrument consisted of 33 items measured on a 5-point Likert scale, ranging from Strongly Disagree to Strongly Agree. Ample time was allotted to ensure participants could complete the questionnaire without pressure. Before formal administration, a pilot study was conducted to assess the readability, reliability, content validity, and face validity of the instrument. Feedback was obtained from sixteen student participants and four senior faculty members, leading to minor but meaningful adjustments to improve clarity and content alignment. Following these revisions, the final version of the questionnaire was administered. After data collection, the responses were entered into a database, cleaned, and organized for analysis. To assess the internal consistency of the scale, Cronbach’s Alpha coefficients were calculated, including "scale if item deleted" diagnostics, confirming the reliability of the instrument. An initial exploratory factor analysis (EFA) was conducted using principal component analysis (PCA) with Varimax rotation to identify the underlying factor structure. Factors with eigenvalues greater than 1 were retained, following Kaiser’s criterion. The analysis yielded a satisfactory Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (KMO = 0.831), indicating the data were suitable for factor analysis. High factor loadings were observed across all seven extracted factors, demonstrating strong construct representation. Subsequently, a confirmatory factor analysis (CFA) was performed to validate the seven-factor structure identified through EFA. The CFA produced acceptable model fit indices, including: χ² = 18.966, df = 8, p = 0.015; Comparative Fit Index (CFI) = 0.992; Tucker-Lewis Index (TLI) = 0.978; Standardized Root Mean Square Residual (SRMR) = 0.0393; and Root Mean Square Error of Approximation (RMSEA) = 0.050. These values collectively support the model’s goodness-of-fit. To examine the influence of various predictors on students’ perceptions of selection and recruitment criteria, a multilevel analysis was conducted. Multinomial logistic regression models were used to develop a parsimonious model and assess the cumulative explanatory power of independent variables in association with other contextual factors. Additionally, multiple regression analysis was employed to test the study’s hypotheses and evaluate associations among key variables. Bivariate correlation coefficients were also computed to explore inter-variable relationships, yielding valuable insights that contributed to the study’s inferential conclusions. A confidence level of α = 0.05 was used as the threshold for statistical significance throughout the analyses. The 33-item survey instrument included scales measuring perceptions of school facilities, social support, familial support for career choices, and awareness of recruitment and selection processes. The instrument demonstrated high internal consistency, with a reported Cronbach’s alpha (α) of 0.826, confirming its reliability. Additional demographic data were collected to assess the potential influence of parental education, occupation, and age on students’ career decision-making capacities. The instrument also included items measuring students’ awareness of selection and recruitment processes, which served as key indicators of career choice persistence. Descriptive statistics, including means, standard deviations, and Cronbach’s alpha coefficients, were computed for all primary variables across the sampled population. A detailed summary of these statistical descriptors is provided in Table 2 . These descriptive insights form the foundation for subsequent inferential analyses, including regression and correlation models that assess the predictive strength of familial and socio-educational variables on students’ vocational orientations. Table 2 Reliability Analysis M SD Alpha Familial Support 16.18 3.08 0.767 S&R Process 10.20 2.25 0.752 Career Choice 9.56 3.93 0.779 Choice Persistence 9.23 3.26 0.804 Social Influence & Support 11.10 2.15 0.773 Socioeconomic Class 6.65 1.91 0.779 Student CDM 14.63 3.34 0.699 Table 2 presents the descriptive statistics and internal consistency reliability coefficients (Cronbach’s alpha) for each of the seven measured constructs: Familial Support, Selection and Recruitment (S&R) Process Awareness, Career Choice, Career Choice Persistence, Social Influence and Support, Socioeconomic Class, and Student Career Decision-Making (CDM). The mean scores (M) across the constructs indicate moderate to high levels of perceived support and awareness among the participants. Notably, Familial Support (M = 16.18, SD = 3.08) and Student CDM (M = 14.63, SD = 3.34) exhibited relatively high mean values, suggesting that students reported a strong sense of family involvement and personal engagement in career-related decision-making. Conversely, Socioeconomic Class (M = 6.65, SD = 1.91) yielded the lowest mean score, which may reflect a more limited self-perceived access to economic resources or social capital among respondents. In terms of reliability, all constructs demonstrated acceptable to high internal consistency, with Cronbach’s alpha coefficients ranging from 0.699 to 0.804. The highest reliability was observed in Choice Persistence (α = 0.804), indicating a strong coherence among items measuring students' likelihood of remaining committed to their selected career path. Student Career Decision-Making (α = 0.699) had the lowest alpha value, though it still approached the conventional threshold of 0.70, suggesting satisfactory reliability, particularly given the exploratory nature of this study. Overall, the reliability statistics affirm that the scale items were well-constructed and internally consistent, thereby supporting the robustness of the instrument used to measure students' perceptions across multiple dimensions influencing career choice. To determine which constructs most strongly predict Career Choice and Career Choice Persistence, we consider both the theoretical grounding and empirical indicators, particularly mean values, standard deviations, and reliability coefficients from Table 2 . Based on theoretical reasoning and literature (e.g., Krumboltz & Mitchell, 1996 ; Bandura, 1989 ), Familial Support and Social Influence & Support are expected to exert strong predictive influence on career choice due to their role in shaping early exposure, aspirations, and values. If regression coefficients mirror the reliability and mean values observed, Familial Support and Student Career Decision-Making (CDM) may emerge as the strongest positive predictors of Career Choice, particularly when students perceive encouragement, guidance, and freedom to explore options within a supportive family structure. The literature (Meece et al., 1982 ; Dietrich & Kracke, 2009 ) suggests that career persistence is highly influenced by students’ awareness of procedural realities, such as recruitment standards, entry criteria, and career progression pathways. If multiple regression analysis reveals significant standardized beta coefficients, it is reasonable to expect S&R Process Awareness and Socioeconomic Class to be strong predictors of Career Choice Persistence. Awareness gives students the practical confidence to persist, while socioeconomic class often defines access to educational continuity and professional networks. 4.1 Addressing Common Method Bias Surveys are an indispensable methodological tool in social science research, particularly suited for exploring complex relationships among psychological, educational, and social variables across multiple levels of analysis. Nevertheless, reliance on self-reported data introduces the potential for common method bias (CMB), which can artificially inflate or attenuate the observed relationships between constructs. Recognizing this risk, the present study employed a combination of procedural and statistical strategies to mitigate and assess the impact of CMB. At the procedural level, several safeguards were integrated into the research design. Participants were explicitly assured of the anonymity and confidentiality of their responses, which served to reduce social desirability bias and evaluation apprehension. The survey instructions underscored that there were no right or wrong answers and encouraged respondents to answer candidly, minimizing the influence of impression management. Great care was taken in the construction and phrasing of survey items to ensure clarity and neutrality. Items were worded in a simple, direct, and unambiguous manner, avoiding leading, double-barreled, or jargon-laden statements that could prompt uniform or patterned responses. Furthermore, although the survey was administered in a single session, cognitive separation between different sections was maintained through the use of brief transitions and topic shifts, thereby reducing the risk of participants artificially linking items based on their sequence. Response formats were also deliberately structured using balanced Likert-type scales to discourage acquiescence bias. In addition to these procedural controls, a statistical assessment of common method variance was conducted using Harman’s single-factor test, one of the most widely applied diagnostic techniques in survey research. All items were subjected to an unrotated exploratory factor analysis to determine whether a single latent factor accounted for a disproportionate share of the total variance. The results indicated that the first factor accounted for only 24.40% of the total variance—well below the threshold of 50% typically used as a cutoff point to suggest significant method bias. This outcome provides empirical evidence that common method variance does not pose a serious threat to the validity of the present findings. Although more sophisticated statistical controls, such as the use of a theoretically unrelated marker variable or latent method factor analysis, were considered, their application was limited by the nature of the constructs under investigation and the operational design of the instrument. Nonetheless, given the rigorous application of procedural safeguards and the results of the Harman test, it is reasonable to conclude that common method bias was adequately controlled and does not compromise the integrity of the study’s conclusions. 4.2 Measurement Scales The assessment of familial support relied on the use of a 3-item scale adapted from the Social Provisions Scale (Russell & Cutrona, 1984 ; Solberg et al., 2007 ). Stage and Hossler ( 1989 ) suggested that external influences, such as those from parents, teachers, and friends, may significantly impact students' career choices, satisfaction, and persistence. Participants were asked to indicate their agreement with items related to the support or influence they received from their parents. Responses were recorded on a five-point scale ranging from "Strongly Agree" to "Strongly Disagree." Item responses were summed, and the average score was calculated as an indicator of familial support (Nauta & Kokaly, 2001 ; Quimby & DeSantis, 2006 ). The scale demonstrated good internal consistency with a Cronbach's alpha coefficient of .767 in this study. 4.3 Independent Variables: Selection and Recruitment Processes (S&R Processes) To assess participants' cognitive capacity and intellectual acumen regarding the selection and recruitment processes criteria within their chosen careers, a five-point Likert scale was developed. This scale aimed to gauge the participants' comprehension levels concerning the current selection and recruitment processes. A descriptive inventory comprising four items was created to evaluate participants' general knowledge of existing selection and recruitment processes. Some items were adapted from an instrument used in a study conducted by Ramokhojoane and Motsoeneng ( 2011 ) pertaining to intellectual awareness and the criteria governing the selection and recruitment processes. The scale exhibited satisfactory reliability, with an internal consistency coefficient of Cronbach's alpha = .752 in this study. 4.4 Social Influence & Support In this study, we adopted a comprehensive view of social influences, drawing from previous research. We employed a three-item instrument adapted from Chartrand et al. ( 1990 ) with slight modifications from the Career Factors Inventory. This instrument was designed to facilitate the differential diagnosis of career decision and indecision by measuring various influences, including personal, emotional, instructional, and informational influences. We considered both students' microsystem (social support) and exosystem (social class) variables, as suggested by prior research highlighting the role of social influences and support in career decision-making (Lucas et al., 2000 ; Schultheiss et al., 2001 ). The scale demonstrated robust internal consistency with a Cronbach's alpha coefficient of .773 in this study. 4.5 Student Career Decision-Making (CDM) In the context of students' experiences, conflicts often arise based on their perceptions of hindrances or uncertainties stemming from familial, academic, and social factors. These perceptions can significantly impact students' career choices, their ability to make career decisions, and their persistence in chosen careers or college majors. To assess these perceptions and others, we utilized the relevant portion of the "Future Aspirations and Goals (FG)" scale from the Student Engagement Instrument. Originally developed for middle and high school students by Appleton et al. ( 2008 ), this scale comprises 5 items. Among these items are statements such as "School is important for achieving my future goals" and "My education will create many future opportunities for me." The items used exhibited good internal consistency, with a Cronbach's alpha coefficient of .669 in this study. 4.6 Choice Persistence To assess choice persistence, we utilized items from Chartrand et al. ( 1990 ) and the Career Factors Inventory scale, with slight modifications. Additionally, we incorporated the statement "Before choosing or entering a particular career area, you still need to find out what present and predicted requirements are for selection in this profession?" into the instrument. A couple of items were also drawn from the "Need for Cognition" Scale, including statements such as "You believe that if you think hard enough, you will be able to achieve any goal in life?" and "These days, you see little chance for performing well, even in 'intellectual' jobs, unless one knows the right people?" The scale demonstrated strong internal consistency, with a Cronbach's alpha coefficient of .804 in this study. 4.7 Socioeconomic Class Given that socioeconomic status (SES) serves as a consistent and influential predictor of educational outcomes, and it exerts a distinct impact on students' academic endeavors (Fransoo et al., 2005 ), we included this variable as a predictor in our study. It is noteworthy that families with lower SES levels tend to be less involved and provide limited support for their children's educational pursuits (Zhao et al., 2012 ). In our assessment of socioeconomic class, we considered various socioeconomic factors and sociological aspects, including family wealth, possession of expensive household items, job characteristics, salary, social status, parents' educational levels, and family background (Zhao et al., 2012 ). However, it is important to mention that, in most cases within our study region, mothers are not employed. Therefore, to maintain simplicity and consistency, we collected only essential and relevant information using a dedicated portion of the survey questionnaire. Participants provided responses, which were subsequently recoded as needed. Recognizing the relevance of socioeconomic factors to the quality of career guidance available to students, we controlled for and measured certain socioeconomic factors related to occupational choices, job characteristics, income levels, and educational backgrounds (Caldas & Bankston, 1997 ). In this study, the internal consistency of this variable was assessed, resulting in a Cronbach's alpha coefficient of .779. 5. RESULTS We observed no issues of multicollinearity, as all correlation coefficients remained below 0.08 (r < 0.08). Table 3 presents the bivariate correlations, calculated using the Pearson Product Moment Correlation Coefficient (r), among the examined variables. As anticipated, strong positive correlations were found between parents' socioeconomic class and students' career choices (r = .740), as well as between familial support and student career decision-making (r = .730). These results align with previous research, consistently supporting the notion that parental socioeconomic status significantly influences students' career aspirations. Awareness about the selection and recruitment process criteria exhibited a strong correlation with students' career decision-making (r = .630). Similarly, the analysis revealed significant correlations between student career decision-making and social influences and support, affirming the substantial importance of social support for students in achieving their career goals. It is likely that social influences also positively correlate with students' ability to make career decisions. Table 3 Pearson Correlation SRP SCC CCP SIC SEC SCDM Mean (Alpha) SD FMS 0.370** 0.313** 0.140* 0.410** 0.240** 0.730** 16.181 (0.767) 3.080 SRP 0.280** 0.610** 0.460** 0.282** 0.630** 10.197 (0.752) 2.251 SCC 0.120* 0.340** 0.740** 0.480** 9.562 (0.779) 3.927 CCP 0.120* 0.110* 0.460** 9.233 (0.804) 3.262 SIC 0.230** 0.570** 11.096 (0.773) 2.150 SEC 0.320** 6.645 (0.779) 1.907 SCDM 14.630 (0.699) 3.343 **Correlation is significant at the 0.01 level (2-tailed). *Correlation is significant at the 0.05 level (2-tailed). Note FMS = Familial Support; SRP = Selection & recruitment process; SCC = Student career choice; CCP = Career choice persistence; SIC = Social influence & support; SEC = Socioeconomic class; SCDM = Student career decision making. Hypothesis testing was conducted through multiple linear regression analysis. The model summary and coefficients tables (Table 4 , 4 a & 5 ) indicated significant effects. The overall model goodness-of-fit was reflected by an R² value of .57, signifying that all factors collectively explain 57% of the variance in familial support for students' perceptions regarding the selection and recruitment processes criteria in their career choices. The multiple regression model with five predictors yielded R² = .570, F (5, 839) = 100.65, P < .001. Additionally, the Durbin-Watson test produced a significant statistic with a value of 1.66, indicating positive serial correlations among the residuals within the model. The ANOVA results further support the predictive values while rejecting the null hypotheses. Table 4 Model Summary R R2 Adjusted R2 SE R2 Change df1 df2 Sig. F Change Durbin-Watson .756a .570 .564 1.486 .570 5 380 .000 1.661 Predictors: (Constant), SCDM, SEC, CCP, SIC, FMS, SCC Dependent Variable: SRP Table 5 Regression Models Summary Model 1 Model 2 Model 3 Model 4 Model 5 R .365a .406b .694c .695d .731e R2 0.133 0.165 0.482 0.483 0.535 Adj R 0.131 0.160 0.478 0.477 0.529 SE 2.098 2.063 1.626 1.628 1.546 R2 Change 0.133 0.031 0.318 0.001 0.052 F Change 59.126 14.263 234.182 0.479 42.511 df1 1.000 1.000 1.000 1.000 1.000 df2 384.000 383.000 382.000 381.000 380.000 Sig 0.000 0.000 0.000 0.489 0.000 a. Predictors: (Constant), FMS b. Predictors: (Constant), FMS, SCC c. Predictors: (Constant), FMS, SCC, CCP d. Predictors: (Constant), FMS, SCC, CCP, SEC e. Predictors: (Constant), FMS, SCC, CCP, SEC, SCDM f. Dependent Variable: SRP Ordinal variables related to Hypothesis 3 were assessed using stepwise multinomial logistic regression models to examine the effect of socioeconomic support on students' career choices. In Model 1, demographic variables, including gender and class, were included as independent variables to account for these factors. The analysis also incorporated social support and socioeconomic variables in comparison to social influences and support according to social class to assess their association with the dependent variables. Model 2 focused on familial support and its relationship with students' perceptions of the selection and recruitment processes in their career choices. The Nagelkerke pseudo-R² statistic was employed to determine the proportion of variance explained by each model. The final model included chi-square results, which statistically confirmed the presence of a relationship between the dependent variables and the group of independent variables. We calculated the likelihood of parental socioeconomic class in relation to students' career choices. The coefficients provided insights into how increases in parental socioeconomic class influenced the likelihood of students' career choices. High scores in social support and social class, about students' career choices, indicate that students tend to choose their vocations with greater confidence when their parents' socioeconomic class provides support compared to students whose parents have a lower social class. Students' career choices exhibit a positive association with higher levels of social support and social class, suggesting greater career persistence in these cases. The significant results of the multinomial logistic regression models are presented in Table 5 . Table 6 Multinomial Regression Analysis Exp (B) (95% CI) Variables Model 1 Model 2 Model 3 Social Support versus Socioeconomic class Female 2.03(0.51–4.51) 3.27(0.98–11.86) 4.13*(1.11–18.07) Male 0.77(0.26–2.47) 0.72 (0.21–2.13) 1.06(0.30–3.68) Social Influences & Support 6.81**(1.71–26.07) 6.72**(1.15–27.18) 8.42*(1.63–42.83) Socioeconomic Class 3.24*(1.08–8.78) 3.39*(1.03–11.87) 2.69(0.76–9.14) Familial Support versus Students' perception about S&R Female 2.06(0.56–6.31) 3.17(0.73–12.01) 4.15*(1.01–17.07) Male 0.81(0.29–2.15) 0.80(0.26–2.49) 1.06(0.30–3.78) FMS 4.54**(0.24–120) 0.52**(0.21–1.29) 0.46(0.20–1.36) SRP 6.45(1.42–29.44) 7.80(1.58–38.52)) 15.41(2.28–04.41) Likelihood ratio χ2 31.18** 51.14*** 72.85*** − 2 log likelihood ratio 169.82 152.83 129.78 Naelkerke R2 0.29 0.42 0.51 Note: The reference group is " Social & Familial support" p < .10, *p < .05, **p < .01, ***p < .001 6. DISCUSSION This study was conceived to underscore the critical role of familial support in enhancing students' awareness of the selection and recruitment (S&R) process criteria pertinent to their chosen career paths. It aimed to examine the factors that meaningfully contribute to this awareness and its subsequent impact on students’ career decision-making and persistence. While previous research has illuminated a wide array of determinants influencing career choices, ranging from individual preferences to societal pressures, the nexus between students’ awareness of selection and recruitment processes and their career choice persistence has remained underexplored. This study sought to fill that empirical gap by placing particular emphasis on familial influences, socioeconomic background, and social support systems. The primary hypothesis (H1) proposed that awareness about selection and recruitment processes is significantly correlated with students’ career decision-making . The findings strongly corroborate this proposition. A robust positive bivariate correlation was observed (r = .633), and regression analysis yielded a substantial R² value of .529, alongside a highly significant F-statistic [F(1, 384) = 430, p < .001]. These results affirm that students who possess a comprehensive understanding of the selection and recruitment procedures are considerably more capable of making informed and strategically sound career decisions. Thus, Hypothesis1 is not only supported but strongly validated by the empirical data. The second hypothesis (H2) suggested that familial support is significantly correlated with the academic persistence associated with students’ career choices . While this assertion appeared intuitively plausible and aligned with existing assumptions in the literature, the statistical evidence presented a more distinction picture. The correlation between familial support and career choice persistence, though statistically significant [F(1, 384) = 4.5, p = .035], was notably weak (r = .107; R² = .011), and the Durbin-Watson value of 1.82 indicated only a modest model fit. These results suggest that familial support alone does not strongly predict sustained commitment to a particular career path. As Baloch ( 2014 ) astutely noted, career persistence is contingent on a constellation of factors, including economic conditions, sociopolitical climate, institutional support, and personal aspirations, rather than merely on family encouragement or academic alignment. The third hypothesis (H3) posited that social support and socioeconomic class are significantly related to students’ career choices . Multinomial regression analysis revealed statistically significant associations, with an Exp(β) value of 0.42 and p = .02. These findings indicate that students’ career choices are meaningfully influenced by their social environments and economic positioning. Family background, parental education, and broader community norms all contribute to shaping career aspirations and trajectories. These results resonate with earlier findings in the field (e.g., Astin, 1991 ; Fisher & Griggs, 1995 ; Broekemier & Seshadri, 1999 ; Germeijs & Verschueren, 2006 ; Dietrich & Kracke, 2009 ), confirming that socioeconomic context remains a persistent and powerful force in career decision-making processes. Finally, the fourth hypothesis (H4) asserted that there exists a strong relationship between awareness of selection and recruitment processes and career choice persistence . Once again, the evidence was compelling, a strong positive correlation (r = .613) was observed, and the corresponding regression analysis demonstrated a substantial R² of .376, with a highly significant F-statistic [F (1, 384) = 231.2, p < .001]. These findings lend robust support to the argument that students with greater knowledge of selection and recruitment mechanisms are not only more confident in their career choices but are also more likely to remain committed to them over time. In sum, this study affirms a novel and increasingly relevant proposition, career choice persistence is strongly linked to the degree of awareness students hold regarding the formal processes associated with entering their desired careers . Therefore, it can be conclusively stated that career choice persistence is directly associated with the extent of knowledge or awareness about selection processes within students' desired careers. Consequently, this study firmly establishes that students' choices are intimately linked to their awareness of selection and recruitment processes within their desired careers, and familial support exhibits a positive relationship with this construct. This insight carries significant implications for educators, policymakers, and career counselors. Interventions aimed at improving students’ understanding of the recruitment landscape, through career counseling, job fairs, mentoring, or parental engagement, may prove instrumental in fostering sustained vocational commitment. While familial support does play a contributory role, its influence is most potent when coupled with tangible knowledge and structured guidance. 7. IMPLICATIONS AND RECOMMENDATIONS Despite its inherent limitations, particularly those arising from the scarcity of existing empirical findings in the local context and the broader geopolitical environment, this study yields several valuable implications for future research and policy formulation. The sample comprised students from grades nine through eleven, drawn from both rural and urban schools, thereby reflecting a degree of geographic and demographic diversity. Nonetheless, it must be acknowledged that students' career aspirations are dynamic and may shift over time; thus, the absence of longitudinal data restricts the ability to predict long-term vocational outcomes. Moreover, while the sample captured a cross-section of socioeconomic and cultural backgrounds, the complex relationship of these variables warrants deeper qualitative exploration. Specifically, further inquiry is needed to unpack the variances & effects of socioeconomic status, familial expectations, and cultural norms on students’ career decision-making processes. The influence of school administrations and institutional guidance in cultivating students’ career ambitions, particularly in partnership with families, was also beyond the scope of this study. Cultural sensitivities and social hesitations, especially concerning parental disclosure of financial and class-related information, limited access to data on familial socioeconomic positioning. As such, interpretations of class influence were largely based on student self-reports, which, while insightful, may lack complete contextual accuracy. In light of these considerations, the study strongly recommends the development of more robust communication channels and collaborative frameworks between career counselors and families. A concerted effort should be made to equip parents, guardians, siblings, and extended family members with knowledge of relevant selection and recruitment procedures. Their informed involvement can enhance adolescents’ confidence and clarity in making appropriate career choices. Future research should prioritize the investigation of how awareness of selection criteria influences the stability and suitability of students’ career decisions, especially during this critical developmental period. 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J (2012) The quadratic relationship between socioeconomic status and learning performance in china by multilevel analysis: Implications for policies to foster education equity. Int J Educational Dev 32(12):412–422 Zhao YW (2023) Research on the influence of family capital on academic achievement of first-generation college students in China. Front Psychol 14:48–62 Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8059035","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":541680585,"identity":"0d856c5a-fdf6-4b0f-a6b6-fe128e0c5dd1","order_by":0,"name":"Rashid Shar Baloch","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4UlEQVRIiWNgGAWjYHACNoYEIAIyGB8ACR4+UrQwG4C0sBGlhQGihU0CysUPzNuPP3vwoKwuj3/22WeVX3PsZNgYmB8+uoFHi8yZHHODhHOHiyXOpZvdlt2WDHQYm7FxDh4tEgw5bBKJbQcSG86wsd2W3MYM1MLDJo1XC//zZ0AtdYnzgVqKJbfVE6FFIsEMqIU5cQNQC+PHbYeJ0fLGTALol8SNZ9iYpRm3HedhYybkF/70Z5I/yuoS550BWvJzW7U9P3vzw8f4tKAAZh4wSaxyEGD8QYrqUTAKRsEoGDEAAFKAQd8nYtsDAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0001-6996-9686","institution":"SAAF","correspondingAuthor":true,"prefix":"","firstName":"Rashid","middleName":"Shar","lastName":"Baloch","suffix":""}],"badges":[],"createdAt":"2025-11-07 16:47:12","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-8059035/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8059035/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":95708672,"identity":"cd3c476a-c4c4-4ee8-a569-122b498f60db","added_by":"auto","created_at":"2025-11-12 07:24:15","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":82745,"visible":true,"origin":"","legend":"","description":"","filename":"FinalManuscriptTHEIMPRESSIONISTICNATUREOFCAREERCHOICESANDTHEINFLUENCEOFFAMILIALSUPPORTONSTUDENTDECISIONMAKINGINSELECTIONANDRECRUITMENTPROCESSES2.docx","url":"https://assets-eu.researchsquare.com/files/rs-8059035/v1/954f3cbd115d3c0374a9c0e6.docx"},{"id":95708673,"identity":"2ccbd2c3-0173-4baa-b2e6-b021e165afd8","added_by":"auto","created_at":"2025-11-12 07:24:15","extension":"json","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":342,"visible":true,"origin":"","legend":"","description":"","filename":"rs8059035.json","url":"https://assets-eu.researchsquare.com/files/rs-8059035/v1/ec21623980531b7dad99d4d2.json"},{"id":95800062,"identity":"6945e3ee-35e5-4e84-a45b-84edcd90b0ae","added_by":"auto","created_at":"2025-11-13 08:21:29","extension":"xml","order_by":2,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":146425,"visible":true,"origin":"","legend":"","description":"","filename":"rs80590350enriched.xml","url":"https://assets-eu.researchsquare.com/files/rs-8059035/v1/78e808aec88b6d9b256545f5.xml"},{"id":95708674,"identity":"f972c267-cf04-465c-80c1-b5deb183e281","added_by":"auto","created_at":"2025-11-12 07:24:15","extension":"xml","order_by":3,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":143364,"visible":true,"origin":"","legend":"","description":"","filename":"rs80590350structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-8059035/v1/8433dec3bfa2e254715b0c6c.xml"},{"id":95708676,"identity":"4bcbc660-303b-4886-9048-bef6134a7d63","added_by":"auto","created_at":"2025-11-12 07:24:15","extension":"html","order_by":4,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":150683,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-8059035/v1/efb465257b0f8fec10cffdc5.html"},{"id":95804592,"identity":"5410f1f6-576b-4ca8-a3bd-3a2396e94374","added_by":"auto","created_at":"2025-11-13 08:38:40","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":875714,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8059035/v1/bc1eb8b2-53ba-4a4b-ab6e-679d2dc62b6e.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eFraming Futures: Familial Influence and the Impressionistic Psychology of Adolescent Career Choice\u003c/p\u003e","fulltext":[{"header":"1. INTRODUCTION","content":"\u003cp\u003eThe architecture of human identity is constructed not in solitude but amid a web of formative impressions, familial echoes, and social scripts. Nowhere is this truer than in the impressionable minds of adolescents, for whom the act of choosing a career path becomes not merely a utilitarian decision, but a deeply psychological and often subconscious negotiation between self-perception and social expectation. Within this crucible of development, the institution of the family looms large, not as a passive backdrop, but as an active, potent force shaping vocational aspirations through subtle cues, overt encouragements, and even silent disapprovals. Through its multifaceted roles, the family imparts a sense of identity, belonging, and cultural continuity to its members. In doing so, it profoundly shapes an individual\u0026rsquo;s worldview and social identity. To bridge the poetic with the empirical, this study translates its impressionistic framework into measurable constructs through the following indicators:\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Taba\" border=\"1\"\u003e\u003ccolgroup cols=\"3\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eConstruct\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eOperational Definition\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eInstrument/Measure\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFamilial Support\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eDegree of emotional, informational, and instrumental backing provided by family members toward career aspirations\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eSurvey items rated on Likert scale\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCareer Impressions\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSubjective affective evaluations of various careers formed through family, media, and school experiences\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eThematic analysis of open-ended responses\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAwareness of Recruitment Processes\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eStudent knowledge of how selection, application, and evaluation processes work in target careers\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eMultiple-choice and scenario-based items\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eDecision-Making Confidence\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eStudent\u0026rsquo;s self-perceived clarity and confidence in their career trajectory\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003ePsychometric scale adapted from SCCT inventories\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSocioeconomic Context\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eParent education, household income, school type (public/private), and geographical context\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDemographic data\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eThis operational framework aims not to oversimplify the impressionistic domain, but to capture its echoes, its fingerprints, in the choices and self-perceptions of adolescents standing at the crossroads of their futures.\u003c/p\u003e\u003cp\u003eIt is within this framework, an impressionistic psychological paradigm, that the current research is situated. Impressionistic psychology, a term inspired by the artistic movement that eschewed the precise for the perceptual, recognizes that human decision-making, especially in formative years, is shaped less by logical deduction than by felt impressions, transient emotions, perceived expectations, and the internalization of surrounding narratives.\u003c/p\u003e\u003cp\u003eCareer decisions made by adolescents are rarely the product of calculated planning alone; rather, they are colored, shaded, even skewed by emotional tones, symbolic meanings, and familial narratives that the adolescent absorbs over time. The family, as the primal theatre of early life, operates both as canvas and brush in this process constructing, contouring, and sometimes distorting the adolescent\u0026rsquo;s vocational self-concept.\u003c/p\u003e\u003cp\u003eUnlike institutional guidance systems, which typically emerge later in a student\u0026rsquo;s academic life, familial influence begins at birth and subtly pervades every stage of cognitive, emotional, and social development. These influences, whether delivered through parental modeling, aspirational projection, or direct intervention, become etched into the adolescent\u0026rsquo;s psychological landscape in ways that often resist conscious detection. This impressionistic layering of familial guidance, sometimes contradictory, often unarticulated, culminates during the critical years when students begin to make career-defining decisions.\u003c/p\u003e\u003cp\u003eBeyond its function as an agent of socialization, the family operates as a fundamental support system, offering emotional, psychological, and material sustenance to its members. It often serves as the first line of defense in times of adversity, providing comfort and security amidst hardship. The familial bond, rooted in affection and mutual care, acts as a buffer against life\u0026rsquo;s uncertainties, fostering resilience and holistic well-being. Eriksonian developmental theory places career exploration and commitment at the heart of the \"identity vs. role confusion\" stage, typically spanning adolescence and in this liminal psychological territory, familial influence can serve either as a compass or a constraint. Adolescents seek autonomy, yet remain tethered, emotionally, financially, and morally to the family unit, this duality creates a dynamic tension: the desire to differentiate from the family, and the simultaneous need to gain its approval. The resulting career decisions often emerge not from a place of cognitive clarity, but from emotional negotiation, compromise, and internalized impression.\u003c/p\u003e\u003cp\u003eTraditional career development theories, such as Holland\u0026rsquo;s typology (1997) or Super\u0026rsquo;s life-span, life-space theory (1990), have long emphasized rational, interest-based, or developmental models of career decision-making. While valuable, these frameworks often presume a level of objectivity and cognitive maturity that may not align with the lived experience of adolescents navigating complex social worlds.\u003c/p\u003e\u003cp\u003eThe impressionistic model, by contrast, recognizes that adolescent career choices are shaped by affective filters, incomplete information, transient motivations, and psychosocial stimuli. In other words, the adolescent is not a strategic planner, but an emotional cartographer, sketching out future possibilities in hues drawn from family, culture, and perceived opportunity.\u003c/p\u003e\u003cp\u003eEmpirical findings increasingly support this psychological distinction. For example, research by Blustein et al. (2002) emphasizes the relational context of career decision-making, underscoring how attachment, support, and familial affirmation contribute significantly to vocational identity formation. Likewise, Dietrich and Kracke (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2009\u003c/span\u003e) point to the crucial role of perceived parental support in both the exploration and commitment phases of career development. Such findings challenge the purely individualistic models of career choice, inviting a reconceptualization that situates the adolescent within a matrix of relationships and impression-driven cognition.\u003c/p\u003e\u003cp\u003eThe specific mechanisms through which families influence adolescent career choices are multifaceted, parental expectations, whether communicated explicitly or inferred subtly create a psychological environment within which certain careers are valorized while others are stigmatized or ignored. Familial narratives (e.g., \u0026ldquo;We\u0026rsquo;re a family of doctors\u0026rdquo;, or \u0026ldquo;No one in this house works with their hands\u0026rdquo;) exert a gravitational pull on the adolescent psyche, often without direct coercion. In impressionistic terms, these narratives act like brushstrokes on an emotional canvas, not directives, but suggestions, shaping the contours of career imagination.\u003c/p\u003e\u003cp\u003eEconomic realities intersect with psychological impressions, adolescents from lower-income families may be implicitly encouraged to pursue \u0026ldquo;practical\u0026rdquo; or \u0026ldquo;safe\u0026rdquo; careers, while those from more affluent backgrounds might be afforded the luxury of exploring abstract passions. Here, impressionistic psychology intersects with structural inequality, the felt sense of possibility or limitation is itself an impression formed by the family\u0026rsquo;s socioeconomic status, educational capital, and occupational networks. Emotional availability, parental modeling, educational background, and even intergenerational trauma play roles in this shaping process. Some adolescents are subtly taught to avoid \u0026ldquo;risky\u0026rdquo; professions because of family histories marked by economic instability or immigration struggle, others internalize high expectations as a form of familial redemption. These emotional undercurrents largely unspoken, sometimes unconscious are the very substance of the impressionistic psychological forces guiding career choice.\u003c/p\u003e\u003cp\u003eAdolescents tend to feel more secure and confident in making career choices when they possess a deeper understanding of the requirements and pathways within their chosen fields. However, career decision-making is inherently complex, shaped by a constellation of internal dispositions and external circumstances. Many studies have observed that students often approach the selection of academic majors with hesitation, uncertainty, and emotional ambivalence. For many, this is a period of transition\u0026mdash;marked by evolving identities and competing influences\u0026mdash;making the task of planning for the future both daunting and deeply personal. Buck and Daniels (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e1985\u003c/span\u003e), Astin (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e1991\u003c/span\u003e), and Lewallen (\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e1992\u003c/span\u003e) have all maintained that:\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003e\u003cem\u003e\"Initial choices of academic major and career choice can only be viewed as tentative at best, and trying to predict persistence based on initial major or career choice is akin to attempting to hit a moving target\" (p. 152\u0026ndash;153).\u003c/em\u003e\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eDietrich and Kracke (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2009\u003c/span\u003e) reported that occupational prospects, coupled with knowledge about related issues, hold significant importance in career decision-making. They recommended that;\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003e\u003cem\u003e\u0026ldquo;Future research should also address variables that more specifically address occupational exploration such as discussions of occupational prospects, questions concerning the balance of adolescents\u0026rsquo; interests and job demands, or suggestions to check out educational prerequisites of different professions\u0026rdquo; (p. 109).\u003c/em\u003e\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eBuilding upon Dietrich and Kracke's (2009) examination of vocational interests and demand variables, as well as their recommendations for future research in this domain, the present study assumes that familial support plays a significant role in shaping students' perceptions of the selection and recruitment processes criteria within their career choices, thereby influencing their career decision-making.\u003c/p\u003e"},{"header":"2. LITERATURE REVIEW","content":"\u003cp\u003eClassical career development theories, while foundational, offer only partial glimpses into this complexity. Holland's (1997) Theory of Vocational Personalities and Work Environments, for example, posits that individuals gravitate toward careers that are congruent with their personality types (RIASEC: Realistic, Investigative, Artistic, Social, Enterprising, Conventional). Although widely utilized and validated, Holland\u0026rsquo;s model assumes a stable self-concept and relatively uninfluenced volition conditions that are, \u003cem\u003eprima facie\u003c/em\u003e, questionable during adolescence, when the very sense of \"self\" is still under construction. Similarly, Super\u0026rsquo;s (1990) Life-Span theory emphasizes the evolving nature of career development across the lifespan and introduces stages such as growth, exploration, establishment, maintenance, and decline. Super importantly highlights the role of self-concept, but again, the theory leans on a developmentally linear view of career crystallization that underestimates the non-linear, emotionally charged, and impression-driven reality of adolescent experience. In contrast, Social Cognitive Career Theory (SCCT), articulated by Lent, Brown, and Hackett (1994), provides a more distinctive framework by emphasizing self-efficacy beliefs, outcome expectations, and personal goals. SCCT recognizes the influence of learning experiences, social persuasion, and contextual affordances, including familial factors on career decision-making.\u003c/p\u003e\u003cp\u003eHowever, even SCCT, for all its flexibility, tends to systematize affective and relational dimensions into variables and constructs, often sidestepping the fluid, poetic, and phenomenological nature of how young people feel into their futures rather than reason into them. Herein lies the conceptual aperture for what this study terms the \u0026ldquo;impressionistic psychology\u0026rdquo; of career choice, a psychological space where cognition is tinged with emotional residue, decision-making is saturated with affective symbolism, and external inputs are not evaluated logically, but internalized atmospherically. It is a conceptual lens that allows for a more authentic reading of adolescent career formation as a tapestry of impressions, not unlike the brushwork of a Monet painting, where perception, context, and mood converge to create meaning. The impressionistic formation of vocational preference occurs within what may be termed the adolescent\u0026rsquo;s psychological ecosystem, at the heart of which lies the family. Families provide not only material scaffolding and logistical support but also emotional narratives, symbolic messages, and tacit approval structures that influence how adolescents interpret the viability and desirability of certain careers.\u003c/p\u003e\u003cp\u003eAccording to Ecological Systems Theory (Bronfenbrenner, 1979), the family constitutes the most immediate microsystem in which the developing adolescent is embedded. This environment exerts both direct and indirect influence over vocational ideation through parental expectations, conversations about the future, implicit modeling of work ethics, and observable outcomes of occupational choices. From a sociological standpoint, Bourdieu\u0026rsquo;s (1986) concepts of cultural capital and habitus offer valuable explanatory power. Cultural capital, the knowledge, credentials, and dispositions passed down through families, subtly shapes children\u0026rsquo;s understanding of which careers are accessible or desirable. Habitus, the internalized system of dispositions formed through one\u0026rsquo;s upbringing, frames the adolescent's posture toward opportunity, risk, and aspiration. These are not concrete teachings, but impressions, felt more than spoken, of what is \u0026ldquo;natural,\u0026rdquo; \u0026ldquo;respectable,\u0026rdquo; or \u0026ldquo;expected.\u0026rdquo;\u003c/p\u003e\u003cp\u003eA wide array of familial factors profoundly shape students' career-related decisions. Among these, the roles of parents, siblings, and close relatives are particularly prominent. As suggested by foundational studies (Taylor \u0026amp; Betz, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e1983\u003c/span\u003e; Fisher \u0026amp; Griggs, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e1995\u003c/span\u003e; Broekemier \u0026amp; Seshadri, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e1999\u003c/span\u003e; Kerka, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2000\u003c/span\u003e; Creed et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Germeijs \u0026amp; Verschueren, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Edwards \u0026amp; Quinter, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2011\u003c/span\u003e), these family figures serve as early and enduring socializers. The influence of parents, especially mothers and fathers, is frequently cited as paramount, largely due to the emotional closeness and sense of belonging fostered within the family unit. Other relatives, such as siblings, maternal uncles, and aunts, have also been noted to exert substantial influence over students' occupational orientations (Stacy, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Germeijs \u0026amp; Verschueren, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Edwards \u0026amp; Quinter, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). Family members differ in the direction and intensity of their influence, but the cumulative effect is consistently significant. A robust body of literature affirms that familial and extended kinship networks exert considerable sway over individual career choices (Adriansyah, Zulaihati, \u0026amp; Susanti, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Arthur, Lei, \u0026amp; Woodend, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Bin Haris Fadzilah et al., \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Chevrier, Untas, \u0026amp; Dorard, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Eifler \u0026amp; Riemann, 2022; Jarvie-Eggart, Singer, \u0026amp; Mathews, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Kumar, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Lertora, Starkey, \u0026amp; Croffie, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Liu \u0026amp; Morgan, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Miller et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Zhao, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eConversely, a lack of effective communication between educators and parents can present significant academic and career-related challenges. Research by Harniss et al. (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2001\u003c/span\u003e) and Munk et al. (\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2001\u003c/span\u003e) indicates that inadequate parent-teacher engagement can hinder students\u0026rsquo; developmental trajectories and contribute to misaligned expectations.\u003c/p\u003e\u003cp\u003eThomas and Rallis (\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e1991\u003c/span\u003e) further emphasized that family-based expectations and perceptions play a formative role in shaping career intentions, often beginning to crystallize during early adolescence and solidifying in early adulthood. The perceptions of key socializers, including parents, siblings, peers, and teachers, hold substantial sway over how students evaluate potential career paths, interpret success, and define future possibilities. In this context, parental social background emerges as a particularly salient factor in students\u0026rsquo; vocational outcomes and their perseverance in the face of occupational challenges. This dichotomy is particularly salient in collectivist societies, where familial expectations carry not just psychological weight but moral and cultural imperatives. In such contexts, career choice becomes less a matter of individual preference and more a relational act, an arena where familial harmony, duty, and honor are at stake. Here, the adolescent is not merely choosing a profession but performing an identity aligned with, or resistant to, intergenerational legacy.\u003c/p\u003e\u003cp\u003eBidwell and Friedkin (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e1988\u003c/span\u003e), in their seminal work, identified three core pathways through which parents\u0026rsquo; socioeconomic status correlates with students\u0026rsquo; educational attainment, illustrating the systemic interplay between familial background and career development. The educational processes within middle- and upper-class families tend to foster the development of attitudes and traits that align with the requirements of a formal school learning environment.\u003c/p\u003e\u003cp\u003eUpper-class families often provide superior learning resources, creating advantages for their children's educational outcomes. Students from upper-class backgrounds may experience preferential treatment, whether formally or informally, within the school system (Bidwell \u0026amp; Friedkin, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e1988\u003c/span\u003e, p. 452).\u003c/p\u003e\u003cp\u003eIn previous studies, researchers have consistently established robust correlations between parents' socioeconomic status and the educational achievements and occupational statuses of their children. These correlations have also served as predictive indicators for the strength of this effect (Schnabel et al., \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). The significant relationship observed among these variables lays the foundation for students' choice of academic majors and their subsequent academic persistence (Tinto, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e1975\u003c/span\u003e; Lent et al., \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e1984\u003c/span\u003e; Thomas \u0026amp; Rallis, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e1991\u003c/span\u003e; Krumboltz \u0026amp; Mitchell, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e1996\u003c/span\u003e; Stacy, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2003\u003c/span\u003e, Chevrier, Untas, \u0026amp; Dorard, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2022\u003c/span\u003e, Lertora, Starkey, \u0026amp; Croffie, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Thus, parents' and relatives' involvement in a student's educational journey can have a profound and lasting impact on their life outcomes.\u003c/p\u003e\u003cp\u003eIt is well-established that academic determination has a distinctly positive association with appropriate career choices, a principle long recognized by professional vocational educational institutions; and awareness of the selection and recruitment process criteria exhibits a positive correlation with career choice persistence, leading to the actualization of one's chosen career (Meece et al., \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e1982\u003c/span\u003e; Cunha et al., 2007; Metheny et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Dietrich \u0026amp; Kracke, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2009\u003c/span\u003e, Rashid Shar, 2022). It is reasonable to expect that career choice persistence is directly linked to one's awareness and understanding of the selection criteria and processes associated with their chosen career. Bandura (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e1989\u003c/span\u003e) observed that many secondary school students often lack accurate knowledge or information about available occupational opportunities, which can hinder their ability to make informed career choices. Additionally, the positive and negative consequences they encounter can significantly influence their motivation and behavior (Cunha et al., 2007).\u003c/p\u003e\u003cp\u003eThis research identifies a critical lacuna in existing scholarship, the absence of a psychological framework that integrates affective impressionability, familial emotional climate, and the adolescent's intuitive, atmospheric processing of career-related information. In short, we lack a model that truly listens to how it feels to be an adolescent navigating career choice in real time, under familial influence.\u003c/p\u003e\u003cp\u003eA notable gap in the existing literature regarding students' career choices and their awareness of the selection and recruitment processes. This research posits that the decision-making landscape is less a rational pathway and more a theatre of impressions, ephemeral, emotionally charged, and heavily influenced by familial ambiance, symbolic gestures, unspoken expectations, and culturally loaded norms. This impressionistic perspective, long recognized in literature and art, is now repurposed to reveal what the data-driven models have failed to capture: the emotional gestalt of adolescent career decision-making. Based on the reviewed literature, the following hypotheses have been developed:\u003c/p\u003e\u003cp\u003eH1: Awareness about selection and recruitment processes is significantly correlated with students\u0026rsquo; career decision-making\u003c/p\u003e\u003cp\u003eH2: Familial support is significantly correlated with the academic persistence associated with students\u0026rsquo; career choices.\u003c/p\u003e\u003cp\u003eH3: Social support and socioeconomic class are significantly related to students\u0026rsquo; career choices.\u003c/p\u003e\u003cp\u003eH4: There exists a strong relationship between awareness of selection and recruitment processes and career choice persistence.\u003c/p\u003e"},{"header":"3. METHODOLOGY","content":"\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e3.1 Participants\u003c/h2\u003e\u003cp\u003eThis study employed a multistage random sampling technique to ensure balanced representation from both rural and urban secondary schools. Within the selected institutions, participants were drawn from 9th to 11th-grade classes. The selection of specific classes was conducted in collaboration with school administrators to maintain procedural alignment and institutional support. As a result, a total of 386 students across grades 9 to 11 were included in the sample. Descriptive statistics were computed based on data collected from five high schools, two located in rural areas (n\u0026thinsp;=\u0026thinsp;2) and three situated in urban settings (n\u0026thinsp;=\u0026thinsp;3).\u003c/p\u003e\u003cp\u003eOf the total participants, 130 students (33.7%) were female, and 256 students (66.3%) were male. The distribution by grade level was as follows: 36.5% were enrolled in 9th grade, 24.9% in 10th grade, and 38.6% in 11th grade. A significant majority (98.4%) of the participants were financially dependent on their families, while only 1.6% reported being self-supported. In terms of geographic background, 35.2% of the students resided in rural areas, whereas 64.8% came from urban localities within the region. The participants' ages ranged from 13 to 21 years, with a mean age of 15.2 years (SD\u0026thinsp;=\u0026thinsp;1.70).\u003c/p\u003e\u003cp\u003eA detailed summary of the demographic and descriptive statistics is presented in Table\u0026nbsp;1 below.\u003c/p\u003e\u003c/div\u003e"},{"header":"4. Procedure","content":"\u003cp\u003eThe methodological approach adopted in this study is purposefully aligned with its central research questions. Specifically, a survey-based research design was employed to explore the role of familial support in shaping students\u0026rsquo; perceptions of selection and recruitment criteria related to their career decision-making processes. This approach allows for a systematic investigation of students\u0026rsquo; subjective experiences and the social influences informing their vocational pathways. It is important to recognize that numerous theorists have argued that the factors influencing students\u0026rsquo; career choices extend far beyond mere academic considerations.\u003c/p\u003e\u003cp\u003eCareer decision-making is a multifaceted phenomenon, shaped by a complex interplay of psychological, familial, and socio-environmental variables, underscoring the need for a more holistic analytical framework.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Tabb\" border=\"1\"\u003e\u003ccolgroup cols=\"8\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colspan=\"6\" nameend=\"c6\" namest=\"c1\"\u003e\u003cp\u003e\u003cem\u003eTable\u0026nbsp;1Descriptive statistics Statistics\u003c/em\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eFrequency\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003ePercent\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u003cp\u003eStudents' Class\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eNinth Grade\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e141\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e36.5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eTenth Grade\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e24.9\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eEleventh Grade\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e149\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e38.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u003cp\u003eStudents' Domicile\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eRural\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e136\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e35.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eUrban\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e250\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e64.8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eMasters\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e125\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e32.4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u003cp\u003eParents' Education\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eBaccalaureate\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e136\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e35.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eIntermediate\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e7.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eMatric\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e20.7\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eBelow Matric\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e4.4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u003cp\u003eStudents' Financial Dependency\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eDependent\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e380\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e98.4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eSelf-Supported\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e1.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMean\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eStudents' Class\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eStudents' Marital Status\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003eStudents' Domicile\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eStudents' Financial Dependency\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eParents' Age\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eParents' Education\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e2.021\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1.987\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e1.648\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1.016\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e1.746\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e2.295\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSt. D\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e.8676\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e.1132\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e.4783\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e.1239\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e.5746\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e1.2404\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eThe data collection process was executed in a systematic and ethically sound manner. Initial meetings were held with school administrators to explain the purpose and scope of the study and to obtain formal permission to administer the survey during scheduled classroom sessions. A total of 386 students, comprising 130 females and 256 males were randomly selected from various classes, with particular focus on students enrolled in the science stream. The sample represented a diverse range of domiciles, socioeconomic backgrounds, and demographic characteristics. Prior to participation, all students were provided with detailed information regarding the nature, objectives, and significance of the research. The questionnaire and study protocol were explained in clear, accessible language to ensure full comprehension. Participants were informed that their participation was entirely voluntary, and written informed consent was obtained from each respondent.\u003c/p\u003e\u003cp\u003eThe final survey instrument consisted of 33 items measured on a 5-point Likert scale, ranging from Strongly Disagree to Strongly Agree. Ample time was allotted to ensure participants could complete the questionnaire without pressure. Before formal administration, a pilot study was conducted to assess the readability, reliability, content validity, and face validity of the instrument. Feedback was obtained from sixteen student participants and four senior faculty members, leading to minor but meaningful adjustments to improve clarity and content alignment. Following these revisions, the final version of the questionnaire was administered.\u003c/p\u003e\u003cp\u003eAfter data collection, the responses were entered into a database, cleaned, and organized for analysis. To assess the internal consistency of the scale, Cronbach\u0026rsquo;s Alpha coefficients were calculated, including \"scale if item deleted\" diagnostics, confirming the reliability of the instrument.\u003c/p\u003e\u003cp\u003eAn initial exploratory factor analysis (EFA) was conducted using principal component analysis (PCA) with Varimax rotation to identify the underlying factor structure. Factors with eigenvalues greater than 1 were retained, following Kaiser\u0026rsquo;s criterion. The analysis yielded a satisfactory Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (KMO\u0026thinsp;=\u0026thinsp;0.831), indicating the data were suitable for factor analysis. High factor loadings were observed across all seven extracted factors, demonstrating strong construct representation.\u003c/p\u003e\u003cp\u003eSubsequently, a confirmatory factor analysis (CFA) was performed to validate the seven-factor structure identified through EFA. The CFA produced acceptable model fit indices, including: χ\u0026sup2; = 18.966, df\u0026thinsp;=\u0026thinsp;8, p\u0026thinsp;=\u0026thinsp;0.015; Comparative Fit Index (CFI)\u0026thinsp;=\u0026thinsp;0.992; Tucker-Lewis Index (TLI)\u0026thinsp;=\u0026thinsp;0.978; Standardized Root Mean Square Residual (SRMR)\u0026thinsp;=\u0026thinsp;0.0393; and Root Mean Square Error of Approximation (RMSEA)\u0026thinsp;=\u0026thinsp;0.050. These values collectively support the model\u0026rsquo;s goodness-of-fit.\u003c/p\u003e\u003cp\u003eTo examine the influence of various predictors on students\u0026rsquo; perceptions of selection and recruitment criteria, a multilevel analysis was conducted. Multinomial logistic regression models were used to develop a parsimonious model and assess the cumulative explanatory power of independent variables in association with other contextual factors. Additionally, multiple regression analysis was employed to test the study\u0026rsquo;s hypotheses and evaluate associations among key variables. Bivariate correlation coefficients were also computed to explore inter-variable relationships, yielding valuable insights that contributed to the study\u0026rsquo;s inferential conclusions. A confidence level of α\u0026thinsp;=\u0026thinsp;0.05 was used as the threshold for statistical significance throughout the analyses.\u003c/p\u003e\u003cp\u003eThe 33-item survey instrument included scales measuring perceptions of school facilities, social support, familial support for career choices, and awareness of recruitment and selection processes. The instrument demonstrated high internal consistency, with a reported Cronbach\u0026rsquo;s alpha (α) of 0.826, confirming its reliability. Additional demographic data were collected to assess the potential influence of parental education, occupation, and age on students\u0026rsquo; career decision-making capacities.\u003c/p\u003e\u003cp\u003eThe instrument also included items measuring students\u0026rsquo; awareness of selection and recruitment processes, which served as key indicators of career choice persistence. Descriptive statistics, including means, standard deviations, and Cronbach\u0026rsquo;s alpha coefficients, were computed for all primary variables across the sampled population. A detailed summary of these statistical descriptors is provided in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e2\u003c/span\u003e. These descriptive insights form the foundation for subsequent inferential analyses, including regression and correlation models that assess the predictive strength of familial and socio-educational variables on students\u0026rsquo; vocational orientations.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eReliability Analysis\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"4\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eM\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eSD\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eAlpha\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFamilial Support\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e16.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.767\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eS\u0026amp;R Process\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e10.20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.752\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCareer Choice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e9.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.779\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eChoice Persistence\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e9.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.804\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSocial Influence \u0026amp; Support\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e11.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.773\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSocioeconomic Class\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e6.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.779\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eStudent CDM\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e14.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3.34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.699\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e2\u003c/span\u003e presents the descriptive statistics and internal consistency reliability coefficients (Cronbach\u0026rsquo;s alpha) for each of the seven measured constructs: Familial Support, Selection and Recruitment (S\u0026amp;R) Process Awareness, Career Choice, Career Choice Persistence, Social Influence and Support, Socioeconomic Class, and Student Career Decision-Making (CDM).\u003c/p\u003e\u003cp\u003eThe mean scores (M) across the constructs indicate moderate to high levels of perceived support and awareness among the participants. Notably, Familial Support (M\u0026thinsp;=\u0026thinsp;16.18, SD\u0026thinsp;=\u0026thinsp;3.08) and Student CDM (M\u0026thinsp;=\u0026thinsp;14.63, SD\u0026thinsp;=\u0026thinsp;3.34) exhibited relatively high mean values, suggesting that students reported a strong sense of family involvement and personal engagement in career-related decision-making. Conversely, Socioeconomic Class (M\u0026thinsp;=\u0026thinsp;6.65, SD\u0026thinsp;=\u0026thinsp;1.91) yielded the lowest mean score, which may reflect a more limited self-perceived access to economic resources or social capital among respondents.\u003c/p\u003e\u003cp\u003eIn terms of reliability, all constructs demonstrated acceptable to high internal consistency, with Cronbach\u0026rsquo;s alpha coefficients ranging from 0.699 to 0.804. The highest reliability was observed in Choice Persistence (α\u0026thinsp;=\u0026thinsp;0.804), indicating a strong coherence among items measuring students' likelihood of remaining committed to their selected career path.\u003c/p\u003e\u003cp\u003eStudent Career Decision-Making (α\u0026thinsp;=\u0026thinsp;0.699) had the lowest alpha value, though it still approached the conventional threshold of 0.70, suggesting satisfactory reliability, particularly given the exploratory nature of this study. Overall, the reliability statistics affirm that the scale items were well-constructed and internally consistent, thereby supporting the robustness of the instrument used to measure students' perceptions across multiple dimensions influencing career choice.\u003c/p\u003e\u003cp\u003eTo determine which constructs most strongly predict Career Choice and Career Choice Persistence, we consider both the theoretical grounding and empirical indicators, particularly mean values, standard deviations, and reliability coefficients from Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e2\u003c/span\u003e. Based on theoretical reasoning and literature (e.g., Krumboltz \u0026amp; Mitchell, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e1996\u003c/span\u003e; Bandura, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e1989\u003c/span\u003e), Familial Support and Social Influence \u0026amp; Support are expected to exert strong predictive influence on career choice due to their role in shaping early exposure, aspirations, and values. If regression coefficients mirror the reliability and mean values observed, Familial Support and Student Career Decision-Making (CDM) may emerge as the strongest positive predictors of Career Choice, particularly when students perceive encouragement, guidance, and freedom to explore options within a supportive family structure. The literature (Meece et al., \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e1982\u003c/span\u003e; Dietrich \u0026amp; Kracke, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2009\u003c/span\u003e) suggests that career persistence is highly influenced by students\u0026rsquo; awareness of procedural realities, such as recruitment standards, entry criteria, and career progression pathways. If multiple regression analysis reveals significant standardized beta coefficients, it is reasonable to expect S\u0026amp;R Process Awareness and Socioeconomic Class to be strong predictors of Career Choice Persistence. Awareness gives students the practical confidence to persist, while socioeconomic class often defines access to educational continuity and professional networks.\u003c/p\u003e\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\u003ch2\u003e4.1 Addressing Common Method Bias\u003c/h2\u003e\u003cp\u003eSurveys are an indispensable methodological tool in social science research, particularly suited for exploring complex relationships among psychological, educational, and social variables across multiple levels of analysis. Nevertheless, reliance on self-reported data introduces the potential for common method bias (CMB), which can artificially inflate or attenuate the observed relationships between constructs. Recognizing this risk, the present study employed a combination of procedural and statistical strategies to mitigate and assess the impact of CMB.\u003c/p\u003e\u003cp\u003eAt the procedural level, several safeguards were integrated into the research design.\u003c/p\u003e\u003cp\u003eParticipants were explicitly assured of the anonymity and confidentiality of their responses, which served to reduce social desirability bias and evaluation apprehension. The survey instructions underscored that there were no right or wrong answers and encouraged respondents to answer candidly, minimizing the influence of impression management. Great care was taken in the construction and phrasing of survey items to ensure clarity and neutrality. Items were worded in a simple, direct, and unambiguous manner, avoiding leading, double-barreled, or jargon-laden statements that could prompt uniform or patterned responses. Furthermore, although the survey was administered in a single session, cognitive separation between different sections was maintained through the use of brief transitions and topic shifts, thereby reducing the risk of participants artificially linking items based on their sequence. Response formats were also deliberately structured using balanced Likert-type scales to discourage acquiescence bias.\u003c/p\u003e\u003cp\u003eIn addition to these procedural controls, a statistical assessment of common method variance was conducted using Harman\u0026rsquo;s single-factor test, one of the most widely applied diagnostic techniques in survey research. All items were subjected to an unrotated exploratory factor analysis to determine whether a single latent factor accounted for a disproportionate share of the total variance. The results indicated that the first factor accounted for only 24.40% of the total variance\u0026mdash;well below the threshold of 50% typically used as a cutoff point to suggest significant method bias. This outcome provides empirical evidence that common method variance does not pose a serious threat to the validity of the present findings.\u003c/p\u003e\u003cp\u003eAlthough more sophisticated statistical controls, such as the use of a theoretically unrelated marker variable or latent method factor analysis, were considered, their application was limited by the nature of the constructs under investigation and the operational design of the instrument. Nonetheless, given the rigorous application of procedural safeguards and the results of the Harman test, it is reasonable to conclude that common method bias was adequately controlled and does not compromise the integrity of the study\u0026rsquo;s conclusions.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\u003ch2\u003e4.2 Measurement Scales\u003c/h2\u003e\u003cp\u003eThe assessment of familial support relied on the use of a 3-item scale adapted from the Social Provisions Scale (Russell \u0026amp; Cutrona, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e1984\u003c/span\u003e; Solberg et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). Stage and Hossler (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e1989\u003c/span\u003e) suggested that external influences, such as those from parents, teachers, and friends, may significantly impact students' career choices, satisfaction, and persistence.\u003c/p\u003e\u003cp\u003e Participants were asked to indicate their agreement with items related to the support or influence they received from their parents. Responses were recorded on a five-point scale ranging from \"Strongly Agree\" to \"Strongly Disagree.\" Item responses were summed, and the average score was calculated as an indicator of familial support (Nauta \u0026amp; Kokaly, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2001\u003c/span\u003e; Quimby \u0026amp; DeSantis, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). The scale demonstrated good internal consistency with a Cronbach's alpha coefficient of .767 in this study.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003e4.3 Independent Variables: Selection and Recruitment Processes (S\u0026amp;R Processes)\u003c/h2\u003e\u003cp\u003eTo assess participants' cognitive capacity and intellectual acumen regarding the selection and recruitment processes criteria within their chosen careers, a five-point Likert scale was developed. This scale aimed to gauge the participants' comprehension levels concerning the current selection and recruitment processes. A descriptive inventory comprising four items was created to evaluate participants' general knowledge of existing selection and recruitment processes. Some items were adapted from an instrument used in a study conducted by Ramokhojoane and Motsoeneng (\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2011\u003c/span\u003e) pertaining to intellectual awareness and the criteria governing the selection and recruitment processes. The scale exhibited satisfactory reliability, with an internal consistency coefficient of Cronbach's alpha\u0026thinsp;=\u0026thinsp;.752 in this study.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003e4.4 Social Influence \u0026amp; Support\u003c/h2\u003e\u003cp\u003eIn this study, we adopted a comprehensive view of social influences, drawing from previous research. We employed a three-item instrument adapted from Chartrand et al. (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e1990\u003c/span\u003e) with slight modifications from the Career Factors Inventory. This instrument was designed to facilitate the differential diagnosis of career decision and indecision by measuring various influences, including personal, emotional, instructional, and informational influences. We considered both students' microsystem (social support) and exosystem (social class) variables, as suggested by prior research highlighting the role of social influences and support in career decision-making (Lucas et al., \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2000\u003c/span\u003e; Schultheiss et al., \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2001\u003c/span\u003e). The scale demonstrated robust internal consistency with a Cronbach's alpha coefficient of .773 in this study.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e\u003ch2\u003e4.5 Student Career Decision-Making (CDM)\u003c/h2\u003e\u003cp\u003eIn the context of students' experiences, conflicts often arise based on their perceptions of hindrances or uncertainties stemming from familial, academic, and social factors. These perceptions can significantly impact students' career choices, their ability to make career decisions, and their persistence in chosen careers or college majors. To assess these perceptions and others, we utilized the relevant portion of the \"Future Aspirations and Goals (FG)\" scale from the Student Engagement Instrument. Originally developed for middle and high school students by Appleton et al. (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2008\u003c/span\u003e), this scale comprises 5 items. Among these items are statements such as \"School is important for achieving my future goals\" and \"My education will create many future opportunities for me.\" The items used exhibited good internal consistency, with a Cronbach's alpha coefficient of .669 in this study.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\u003ch2\u003e4.6 Choice Persistence\u003c/h2\u003e\u003cp\u003eTo assess choice persistence, we utilized items from Chartrand et al. (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e1990\u003c/span\u003e) and the Career Factors Inventory scale, with slight modifications. Additionally, we incorporated the statement \"Before choosing or entering a particular career area, you still need to find out what present and predicted requirements are for selection in this profession?\" into the instrument. A couple of items were also drawn from the \"Need for Cognition\" Scale, including statements such as \"You believe that if you think hard enough, you will be able to achieve any goal in life?\" and \"These days, you see little chance for performing well, even in 'intellectual' jobs, unless one knows the right people?\" The scale demonstrated strong internal consistency, with a Cronbach's alpha coefficient of .804 in this study.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\u003ch2\u003e4.7 Socioeconomic Class\u003c/h2\u003e\u003cp\u003eGiven that socioeconomic status (SES) serves as a consistent and influential predictor of educational outcomes, and it exerts a distinct impact on students' academic endeavors (Fransoo et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2005\u003c/span\u003e), we included this variable as a predictor in our study. It is noteworthy that families with lower SES levels tend to be less involved and provide limited support for their children's educational pursuits (Zhao et al., \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2012\u003c/span\u003e). In our assessment of socioeconomic class, we considered various socioeconomic factors and sociological aspects, including family wealth, possession of expensive household items, job characteristics, salary, social status, parents' educational levels, and family background (Zhao et al., \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2012\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eHowever, it is important to mention that, in most cases within our study region, mothers are not employed. Therefore, to maintain simplicity and consistency, we collected only essential and relevant information using a dedicated portion of the survey questionnaire. Participants provided responses, which were subsequently recoded as needed. Recognizing the relevance of socioeconomic factors to the quality of career guidance available to students, we controlled for and measured certain socioeconomic factors related to occupational choices, job characteristics, income levels, and educational backgrounds (Caldas \u0026amp; Bankston, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e1997\u003c/span\u003e). In this study, the internal consistency of this variable was assessed, resulting in a Cronbach's alpha coefficient of .779.\u003c/p\u003e\u003c/div\u003e"},{"header":"5. RESULTS","content":"\u003cp\u003eWe observed no issues of multicollinearity, as all correlation coefficients remained below 0.08 (r\u0026thinsp;\u0026lt;\u0026thinsp;0.08). Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e presents the bivariate correlations, calculated using the Pearson Product Moment Correlation Coefficient (r), among the examined variables. As anticipated, strong positive correlations were found between parents' socioeconomic class and students' career choices (r\u0026thinsp;=\u0026thinsp;.740), as well as between familial support and student career decision-making (r\u0026thinsp;=\u0026thinsp;.730). These results align with previous research, consistently supporting the notion that parental socioeconomic status significantly influences students' career aspirations. Awareness about the selection and recruitment process criteria exhibited a strong correlation with students' career decision-making (r\u0026thinsp;=\u0026thinsp;.630).\u003c/p\u003e\u003cp\u003eSimilarly, the analysis revealed significant correlations between student career decision-making and social influences and support, affirming the substantial importance of social support for students in achieving their career goals. It is likely that social influences also positively correlate with students' ability to make career decisions.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003ePearson Correlation\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"10\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSRP\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eSCC\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCCP\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eSIC\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSEC\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eSCDM\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e\u003cp\u003eMean (Alpha)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003eSD\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFMS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.370**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.313**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.140*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.410**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.240**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.730**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e16.181\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e(0.767)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e3.080\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSRP\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.280**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.610**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.460**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.282**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.630**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e10.197\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e(0.752)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e2.251\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.120*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.340**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.740**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.480**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e9.562\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e(0.779)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e3.927\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCCP\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.120*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.110*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.460**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e9.233\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e(0.804)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e3.262\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSIC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.230**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.570**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e11.096\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e(0.773)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e2.150\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSEC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.320**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e6.645\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e(0.779)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e1.907\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSCDM\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e14.630\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e(0.699)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e3.343\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e**Correlation is significant at the 0.01 level (2-tailed).\u003c/p\u003e\u003cp\u003e*Correlation is significant at the 0.05 level (2-tailed).\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eNote\u003c/strong\u003e\u003cp\u003eFMS\u0026thinsp;=\u0026thinsp;Familial Support; SRP\u0026thinsp;=\u0026thinsp;Selection \u0026amp; recruitment process; SCC\u0026thinsp;=\u0026thinsp;Student career choice; CCP\u0026thinsp;=\u0026thinsp;Career choice persistence; SIC\u0026thinsp;=\u0026thinsp;Social influence \u0026amp; support; SEC\u0026thinsp;=\u0026thinsp;Socioeconomic class; SCDM\u0026thinsp;=\u0026thinsp;Student career decision making.\u003c/p\u003e\u003c/p\u003e\u003cp\u003eHypothesis testing was conducted through multiple linear regression analysis. The model summary and coefficients tables (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e4\u003c/span\u003e, \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e4\u003c/span\u003ea \u0026amp; \u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e5\u003c/span\u003e) indicated significant effects. The overall model goodness-of-fit was reflected by an R\u0026sup2; value of .57, signifying that all factors collectively explain 57% of the variance in familial support for students' perceptions regarding the selection and recruitment processes criteria in their career choices.\u003c/p\u003e\u003cp\u003eThe multiple regression model with five predictors yielded R\u0026sup2; = .570, F (5, 839)\u0026thinsp;=\u0026thinsp;100.65, P\u0026thinsp;\u0026lt;\u0026thinsp;.001. Additionally, the Durbin-Watson test produced a significant statistic with a value of 1.66, indicating positive serial correlations among the residuals within the model. The ANOVA results further support the predictive values while rejecting the null hypotheses.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eModel Summary\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"9\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eR\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eR2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eAdjusted R2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eSE\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eR2 Change\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003edf1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003edf2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003eSig. F Change\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003eDurbin-Watson\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e.756a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e.570\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e.564\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1.486\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e.570\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e380\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e1.661\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"9\"\u003ePredictors: (Constant), SCDM, SEC, CCP, SIC, FMS, SCC\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd colspan=\"9\"\u003eDependent Variable: SRP\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eRegression Models\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"6\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSummary\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eModel 1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eModel 2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eModel 3\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eModel 4\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eModel 5\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eR\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e.365a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e.406b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e.694c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e.695d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e.731e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eR2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.133\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.165\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.482\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.483\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.535\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAdj R\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.131\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.160\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.478\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.477\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.529\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSE\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e2.098\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2.063\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1.626\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1.628\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1.546\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eR2 Change\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.133\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.031\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.318\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.001\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.052\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eF Change\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e59.126\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e14.263\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e234.182\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.479\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e42.511\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003edf1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1.000\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003edf2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e384.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e383.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e382.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e381.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e380.000\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSig\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.000\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"6\" nameend=\"c6\" namest=\"c1\"\u003e\u003cp\u003ea. Predictors: (Constant), FMS\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"6\" nameend=\"c6\" namest=\"c1\"\u003e\u003cp\u003eb. Predictors: (Constant), FMS, SCC\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"6\" nameend=\"c6\" namest=\"c1\"\u003e\u003cp\u003ec. Predictors: (Constant), FMS, SCC, CCP\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"6\" nameend=\"c6\" namest=\"c1\"\u003e\u003cp\u003ed. Predictors: (Constant), FMS, SCC, CCP, SEC\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"6\" nameend=\"c6\" namest=\"c1\"\u003e\u003cp\u003ee. Predictors: (Constant), FMS, SCC, CCP, SEC, SCDM\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"6\" nameend=\"c6\" namest=\"c1\"\u003e\u003cp\u003ef. Dependent Variable: SRP\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eOrdinal variables related to Hypothesis 3 were assessed using stepwise multinomial logistic regression models to examine the effect of socioeconomic support on students' career choices. In Model 1, demographic variables, including gender and class, were included as independent variables to account for these factors. The analysis also incorporated social support and socioeconomic variables in comparison to social influences and support according to social class to assess their association with the dependent variables. Model 2 focused on familial support and its relationship with students' perceptions of the selection and recruitment processes in their career choices.\u003c/p\u003e\u003cp\u003eThe Nagelkerke pseudo-R\u0026sup2; statistic was employed to determine the proportion of variance explained by each model. The final model included chi-square results, which statistically confirmed the presence of a relationship between the dependent variables and the group of independent variables.\u003c/p\u003e\u003cp\u003eWe calculated the likelihood of parental socioeconomic class in relation to students' career choices. The coefficients provided insights into how increases in parental socioeconomic class influenced the likelihood of students' career choices. High scores in social support and social class, about students' career choices, indicate that students tend to choose their vocations with greater confidence when their parents' socioeconomic class provides support compared to students whose parents have a lower social class. Students' career choices exhibit a positive association with higher levels of social support and social class, suggesting greater career persistence in these cases. The significant results of the multinomial logistic regression models are presented in Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e5\u003c/span\u003e.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eMultinomial Regression Analysis\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"9\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c6\" namest=\"c4\"\u003e\u003cp\u003eExp (B) (95% CI)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eVariables\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003eModel 1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eModel 2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eModel 3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSocial Support versus Socioeconomic class\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFemale\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003e2.03(0.51\u0026ndash;4.51)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003e3.27(0.98\u0026ndash;11.86)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c9\" namest=\"c7\"\u003e\u003cp\u003e4.13*(1.11\u0026ndash;18.07)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMale\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003e0.77(0.26\u0026ndash;2.47)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003e0.72 (0.21\u0026ndash;2.13)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c9\" namest=\"c7\"\u003e\u003cp\u003e1.06(0.30\u0026ndash;3.68)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSocial Influences \u0026amp; Support\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003e6.81**(1.71\u0026ndash;26.07)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003e6.72**(1.15\u0026ndash;27.18)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c9\" namest=\"c7\"\u003e\u003cp\u003e8.42*(1.63\u0026ndash;42.83)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSocioeconomic Class\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003e3.24*(1.08\u0026ndash;8.78)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003e3.39*(1.03\u0026ndash;11.87)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c9\" namest=\"c7\"\u003e\u003cp\u003e2.69(0.76\u0026ndash;9.14)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFamilial Support versus Students'\u003c/p\u003e\u003cp\u003eperception about S\u0026amp;R\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFemale\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003e2.06(0.56\u0026ndash;6.31)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003e3.17(0.73\u0026ndash;12.01)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c9\" namest=\"c7\"\u003e\u003cp\u003e4.15*(1.01\u0026ndash;17.07)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMale\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003e0.81(0.29\u0026ndash;2.15)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003e0.80(0.26\u0026ndash;2.49)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c9\" namest=\"c7\"\u003e\u003cp\u003e1.06(0.30\u0026ndash;3.78)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFMS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003e4.54**(0.24\u0026ndash;120)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003e0.52**(0.21\u0026ndash;1.29)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c9\" namest=\"c7\"\u003e\u003cp\u003e0.46(0.20\u0026ndash;1.36)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSRP\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003e6.45(1.42\u0026ndash;29.44)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003e7.80(1.58\u0026ndash;38.52))\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"3\" nameend=\"c9\" namest=\"c7\"\u003e\u003cp\u003e15.41(2.28\u0026ndash;04.41)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u003cp\u003eLikelihood ratio χ2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e31.18**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e51.14***\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e72.85***\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u003cp\u003e\u0026minus;\u0026thinsp;2 log likelihood ratio\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e169.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e152.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e129.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u003cp\u003eNaelkerke R2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e0.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e\u003cp\u003eNote: The reference group is \" Social \u0026amp; Familial support\"\u003c/p\u003e\u003cp\u003ep\u0026thinsp;\u0026lt;\u0026thinsp;.10, *p\u0026thinsp;\u0026lt;\u0026thinsp;.05, **p\u0026thinsp;\u0026lt;\u0026thinsp;.01, ***p\u0026thinsp;\u0026lt;\u0026thinsp;.001\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e"},{"header":"6. DISCUSSION","content":"\u003cp\u003eThis study was conceived to underscore the critical role of familial support in enhancing students' awareness of the selection and recruitment (S\u0026amp;R) process criteria pertinent to their chosen career paths. It aimed to examine the factors that meaningfully contribute to this awareness and its subsequent impact on students\u0026rsquo; career decision-making and persistence. While previous research has illuminated a wide array of determinants influencing career choices, ranging from individual preferences to societal pressures, the nexus between students\u0026rsquo; awareness of selection and recruitment processes and their career choice persistence has remained underexplored. This study sought to fill that empirical gap by placing particular emphasis on familial influences, socioeconomic background, and social support systems.\u003c/p\u003e\u003cp\u003eThe primary hypothesis (H1) proposed that \u003cem\u003eawareness about selection and recruitment processes is significantly correlated with students\u0026rsquo; career decision-making\u003c/em\u003e. The findings strongly corroborate this proposition. A robust positive bivariate correlation was observed (r\u0026thinsp;=\u0026thinsp;.633), and regression analysis yielded a substantial R\u0026sup2; value of .529, alongside a highly significant F-statistic [F(1, 384)\u0026thinsp;=\u0026thinsp;430, p\u0026thinsp;\u0026lt;\u0026thinsp;.001]. These results affirm that students who possess a comprehensive understanding of the selection and recruitment procedures are considerably more capable of making informed and strategically sound career decisions. Thus, Hypothesis1 is not only supported but strongly validated by the empirical data.\u003c/p\u003e\u003cp\u003eThe second hypothesis (H2) suggested that \u003cem\u003efamilial support is significantly correlated with the academic persistence associated with students\u0026rsquo; career choices\u003c/em\u003e. While this assertion appeared intuitively plausible and aligned with existing assumptions in the literature, the statistical evidence presented a more distinction picture. The correlation between familial support and career choice persistence, though statistically significant [F(1, 384)\u0026thinsp;=\u0026thinsp;4.5, p\u0026thinsp;=\u0026thinsp;.035], was notably weak (r\u0026thinsp;=\u0026thinsp;.107; R\u0026sup2; = .011), and the Durbin-Watson value of 1.82 indicated only a modest model fit. These results suggest that familial support alone does not strongly predict sustained commitment to a particular career path. As Baloch (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2014\u003c/span\u003e) astutely noted, career persistence is contingent on a constellation of factors, including economic conditions, sociopolitical climate, institutional support, and personal aspirations, rather than merely on family encouragement or academic alignment.\u003c/p\u003e\u003cp\u003eThe third hypothesis (H3) posited that \u003cem\u003esocial support and socioeconomic class are significantly related to students\u0026rsquo; career choices\u003c/em\u003e. Multinomial regression analysis revealed statistically significant associations, with an Exp(β) value of 0.42 and p\u0026thinsp;=\u0026thinsp;.02. These findings indicate that students\u0026rsquo; career choices are meaningfully influenced by their social environments and economic positioning. Family background, parental education, and broader community norms all contribute to shaping career aspirations and trajectories. These results resonate with earlier findings in the field (e.g., Astin, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e1991\u003c/span\u003e; Fisher \u0026amp; Griggs, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e1995\u003c/span\u003e; Broekemier \u0026amp; Seshadri, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e1999\u003c/span\u003e; Germeijs \u0026amp; Verschueren, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Dietrich \u0026amp; Kracke, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2009\u003c/span\u003e), confirming that socioeconomic context remains a persistent and powerful force in career decision-making processes.\u003c/p\u003e\u003cp\u003eFinally, the fourth hypothesis (H4) asserted that \u003cem\u003ethere exists a strong relationship between awareness of selection and recruitment processes and career choice persistence\u003c/em\u003e. Once again, the evidence was compelling, a strong positive correlation (r\u0026thinsp;=\u0026thinsp;.613) was observed, and the corresponding regression analysis demonstrated a substantial R\u0026sup2; of .376, with a highly significant F-statistic [F (1, 384)\u0026thinsp;=\u0026thinsp;231.2, p\u0026thinsp;\u0026lt;\u0026thinsp;.001]. These findings lend robust support to the argument that students with greater knowledge of selection and recruitment mechanisms are not only more confident in their career choices but are also more likely to remain committed to them over time.\u003c/p\u003e\u003cp\u003eIn sum, this study affirms a novel and increasingly relevant proposition, \u003cem\u003ecareer choice persistence is strongly linked to the degree of awareness students hold regarding the formal processes associated with entering their desired careers\u003c/em\u003e. Therefore, it can be conclusively stated that career choice persistence is directly associated with the extent of knowledge or awareness about selection processes within students' desired careers. Consequently, this study firmly establishes that students' choices are intimately linked to their awareness of selection and recruitment processes within their desired careers, and familial support exhibits a positive relationship with this construct.\u003c/p\u003e\u003cp\u003eThis insight carries significant implications for educators, policymakers, and career counselors. Interventions aimed at improving students\u0026rsquo; understanding of the recruitment landscape, through career counseling, job fairs, mentoring, or parental engagement, may prove instrumental in fostering sustained vocational commitment. While familial support does play a contributory role, its influence is most potent when coupled with tangible knowledge and structured guidance.\u003c/p\u003e"},{"header":"7. IMPLICATIONS AND RECOMMENDATIONS","content":"\u003cp\u003eDespite its inherent limitations, particularly those arising from the scarcity of existing empirical findings in the local context and the broader geopolitical environment, this study yields several valuable implications for future research and policy formulation. The sample comprised students from grades nine through eleven, drawn from both rural and urban schools, thereby reflecting a degree of geographic and demographic diversity. Nonetheless, it must be acknowledged that students' career aspirations are dynamic and may shift over time; thus, the absence of longitudinal data restricts the ability to predict long-term vocational outcomes.\u003c/p\u003e\u003cp\u003eMoreover, while the sample captured a cross-section of socioeconomic and cultural backgrounds, the complex relationship of these variables warrants deeper qualitative exploration. Specifically, further inquiry is needed to unpack the variances \u0026amp; effects of socioeconomic status, familial expectations, and cultural norms on students\u0026rsquo; career decision-making processes.\u003c/p\u003e\u003cp\u003eThe influence of school administrations and institutional guidance in cultivating students\u0026rsquo; career ambitions, particularly in partnership with families, was also beyond the scope of this study. Cultural sensitivities and social hesitations, especially concerning parental disclosure of financial and class-related information, limited access to data on familial socioeconomic positioning. As such, interpretations of class influence were largely based on student self-reports, which, while insightful, may lack complete contextual accuracy.\u003c/p\u003e\u003cp\u003eIn light of these considerations, the study strongly recommends the development of more robust communication channels and collaborative frameworks between career counselors and families. A concerted effort should be made to equip parents, guardians, siblings, and extended family members with knowledge of relevant selection and recruitment procedures. Their informed involvement can enhance adolescents\u0026rsquo; confidence and clarity in making appropriate career choices. Future research should prioritize the investigation of how awareness of selection criteria influences the stability and suitability of students\u0026rsquo; career decisions, especially during this critical developmental period.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u0026nbsp;This research involving human participants was conducted in full compliance with institutional and national ethical standards and was reviewed and approved by the SAAF Research Review \u0026amp; Ethic Committee.\u003c/p\u003e\n\u003cp\u003eStatement on Participant Consent: Written informed consent was obtained from all participants, or from their legal guardians where applicable, for participation in the study and for the publication of data arising from it. In instances where consent was deemed unnecessary, this was explicitly waived by the approving ethics committee.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAdriansyah MY, Zulaihati S, Susanti S (2023) The Influence of Personality and Family Environment on Interest in Entrepreneurship Faculty of Economic State University of Jakarta. Luxury. Landsc Bus Adm 1(2):53\u0026ndash;60\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAppleton J, Christenson SL, Furlong MJ (2008) Student engagement with school: Critical conceptual and methodological issues of the construct. 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J (2012) The quadratic relationship between socioeconomic status and learning performance in china by multilevel analysis: Implications for policies to foster education equity. Int J Educational Dev 32(12):412\u0026ndash;422\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eZhao YW (2023) Research on the influence of family capital on academic achievement of first-generation college students in China. Front Psychol 14:48\u0026ndash;62\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"No One","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Adolescent psychology, Career decision-making, Familial support, Impressionistic psychology, Selection and recruitment, Gendered aspirations, Procedural literacy, Sociocultural influences","lastPublishedDoi":"10.21203/rs.3.rs-8059035/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8059035/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis research studies the impressionistic psychology behind adolescent career choices and the decisive influence of familial support within the evolving context of career selection and recruitment. Drawing on psychological theory, sociocultural analysis, and empirical data, the study reframes career decision-making as an affective and impressionistic process rather than a solely rational or aptitude-based act. A mixed-methods approach was employed through the administration of structured questionnaires to 9th \u0026amp;11th grade students from diverse urban and rural educational institutions. The findings reveal that familial support is not merely advisory but emotionally curative and symbolically directive, influencing procedural knowledge, aspiration structures, and persistence in chosen career paths. Female students experienced heightened inner conflict, balancing familial expectations with professional ambitions, while lower-income students viewed careers as symbols of upward mobility. The research underscores that adolescent career choice is best understood as a refine emotional narrative, shaped by symbolic associations and cultural imprints. The study recommends family-inclusive career education, procedural literacy programs, and a reframing of national policy to acknowledge the emotional, psychological, and cultural realities influencing adolescent career development.\u003c/p\u003e","manuscriptTitle":"Framing Futures: Familial Influence and the Impressionistic Psychology of Adolescent Career Choice","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-12 07:24:10","doi":"10.21203/rs.3.rs-8059035/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"8ea50baf-d7ba-4695-8711-f8165ab29417","owner":[],"postedDate":"November 12th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":57848288,"name":"Educational Psychology"},{"id":57848289,"name":"Sociology"},{"id":57848290,"name":"Psychology"}],"tags":[],"updatedAt":"2025-11-12T07:24:10+00:00","versionOfRecord":[],"versionCreatedAt":"2025-11-12 07:24:10","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8059035","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8059035","identity":"rs-8059035","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}