Inductive Reasoning Model

Joachim I. Krueger

doi:10.1080/1047840X.2024.2366766

Inductive Reasoning Model

2024-07-31

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AI

DOI：10.1080/1047840X.2024.2366766

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We introduce the Inductive Reasoning Model (IRM) as a comprehensive platform for the study of several phenomena central to self- and social perception. Going beyond the traditional phenomenon-focused research strategy, the model shows how to generate point-specific hypotheses about the size of individual effects and how to predict the interrelations among phenomena of interest. The model points to additional psychological processes at play when outputs cannot be accounted for within the confines of the IRM alone. The IRM is parsimonious in its assumptions and generative in its predictions. Using two empirically-based inputs, namely, the positivity of a person's self-image and the strength of social projection, the model predicts the direction and extent of four higher-order phenomena: intergroup accentuation, self-enhancement, ingroup favoritism, and differential accuracy. The model affords precise predictions pertaining to the relationships among these phenomena. Critically, alternative conceptions of social perceptions are not rendered irrelevant. Researchers can ask if the IRM over- or underpredicts social-perceptual phenomena in contexts of interest, and if alternative models can explain the differences.

Keywords:

Inductive reasoning

model

social perception

theoretical

Inductive Reasoning Model

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