Rigorous exploration in a model-centric science via epistemic iteration

Area of Science:

• Psychology
• Scientific Methodology
• Research Generalizability

Background:

• Current psychological research paradigms struggle with generalizability.
• Dichotomous results and rapid discovery models lack theoretical depth to address these issues.
• Existing paradigms are insufficient for robustly understanding and solving generalizability problems.

Purpose of the Study:

• Propose a paradigm shift towards model-centric science in psychology.
• Enhance the understanding of generalizability sources through a new scientific approach.
• Promote systematic exploration and advancement within the field.

Main Methods:

• Introduce a model-centric scientific paradigm.
• Emphasize iterative development and refinement of theoretical, empirical, and statistical models.
• Highlight the communication and integration between different types of models.

Main Results:

• A model-centric approach offers greater sophistication in addressing generalizability.
• This paradigm facilitates transparent and efficient scientific activity.
• Illustrates the practical application and potential of model-centric science.

Conclusions:

• A paradigm shift to model-centric science is crucial for psychology.
• Iterative model building and refinement enhance understanding of generalizability.
• This approach promises to advance psychological science by improving research robustness.