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This study proposes a formal model for psychological explanation, defining when a theory explains a phenomenon. It offers a methodology and criteria to improve psychological theory development and evaluation.

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Area of Science:

  • Psychological Science
  • Philosophy of Science

Background:

  • The nature of explanation in psychological science is often unclear.
  • Evaluating whether a psychological theory truly explains a phenomenon presents challenges.

Purpose of the Study:

  • To propose a formal account of explanation in psychology.
  • To develop a workable methodology for assessing psychological explanations.
  • To establish criteria for evaluating the quality of explanations.

Main Methods:

  • Formalizing verbal theories into mathematical models.
  • Representing psychological phenomena as statistical patterns in data.
  • Assessing if formal models generate observed statistical patterns.

Main Results:

  • A theory explains a phenomenon if its formal model produces the phenomenon's statistical pattern.
  • Introduced criteria: precision, robustness, and empirical relevance.
  • Examined instances of explanatory failures.

Conclusions:

  • The proposed framework enhances the construction and development of psychological theories.
  • Provides a clear methodology for evaluating explanatory power in psychology.
  • Integrates psychological explanation with broader philosophy of science concepts.