Rigorous exploration in a model-centric science via epistemic iteration

Urgent attention is needed to address generalizability problems in psychology. However, the current dominant paradigm, which centers dichotomous results and rapid discoveries, may not provide the solution. Instead, we propose a paradigm shift towards a model-centric approach, which can aid in understanding the sources of generalizability and promote systematic exploration. In a model-centric paradigm, scientific activity involves iteratively building and refining theoretical, empirical, and statistical models that communicate with each other. This approach is organic, transparent, and efficient in addressing generalizability issues. We illustrate the nature of scientific activity in a model-centric system and its potential for advancing the field of psychology.