Predicted as observed? How to identify empirically adequate theoretical constructs.

Area of Science:

• Psychology
• Research Methodology
• Statistical Inference

Background:

• Evaluating theoretical constructs requires comparing predicted effects with observed data.
• Existing methods may lack a standardized approach for assessing empirical adequacy.
• The need for robust measures to link theory and empirical evidence in scientific research.

Purpose of the Study:

• To propose and validate a simple similarity measure for assessing empirical adequacy of theoretical constructs.
• To estimate the necessary sample size for achieving empirical adequacy using computer simulations.
• To apply the proposed measure to diverse research examples, including precognition, dissonance theory, and personality research.

Main Methods:

• Development of a novel similarity measure.
• Application of the measure across various research designs (meta-analysis, experimental data, crowdsourcing).
• Computer simulations to determine sample size requirements for empirical adequacy.

Main Results:

• The proposed similarity measure provides a quantitative assessment of effect similarity.
• Analysis of precognition meta-analysis indicates insufficient evidence for a predicted effect (d = 0.20).
• The measure was successfully applied to dissonance theory and personality trait data.

Conclusions:

• The proposed similarity measure is a valuable tool for evaluating empirical adequacy in psychological research.
• Current evidence for precognition effects is weak, highlighting the importance of rigorous empirical validation.
• The method offers a standardized approach for linking theoretical predictions with observed data across different research contexts.