Abstract
The main purpose of this study is to produce a Toys Suitability Index Instrument (Toy Index) based on the assessment of the suitability level of children’s toys aged three to five years old. This study employs the Fuzzy Delphi Method (FDM) and Analytical Hierarchical Processing (AHP) which are the 'Expert Polling' methods based on the integration analysis of the expert panels. The experts are from various backgrounds in terms of skills, experiences, and roles in the society. As a result, the findings have produced an instrument for the suitability of children’s toys that consists of four (4) main indicators and 22 sub-indicators. Based on the findings, the ‘Safety of Toys’ indicator is the most important aspect that influenced the assessment of the Children’s Toys Suitability with the value of LW=4.32/10 or 0.432/1. This is followed by the ‘Values of Education’ indicator with a reasonable value of LW=3.74/10 (0.374/1) and the ‘Suitability of Playing’ indicator with a value of LW=1.14/10(0.114/1). Meanwhile, the least important aspect is the Suitability of Information with the lowest value compared to the other aspects of children’s toy suitability level with a value of LW= 0.75/10 (0.075/1). The Toy Index acts as a benchmark tool for designers or children’s toy industries in producing quality and suitable products in Malaysia. This instrument may help Early Childhood educators in identifying appropriate toys for children’s development.
Full text
621 characters
· extracted from
oa-doi-fallback
· click to expand
There is a newer version available for this {{ publicationType }}. View latest version
{{ publication.field_name }}
{{ publication.subfield_name }}
Copyright: © {{ publicationYear }} {{ publication.presentation_authors[0].full_name + (publication.presentation_authors.length > 1 ? ' et al' : '') }}. This is an open access publication distributed under the terms of the CC BY 4.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Check the {{ publicationType | capitalize }} Source for copyright and license information.
Listen on
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.