Abstract

In a recent publication, we employed factor analyses to integrate 14 measures of prosocial behavior, proposing four subcomponents of human prosociality: altruistically motivated, norm motivated, strategically motivated, and self-reported prosocial behavior. However, the reported confirmatory factor analysis (CFA) yielded standardized regression weights above 1, resulting from an improper solution (Heywood cases), which precludes straightforward interpretation of results. Here, we present two adjusted CFA models that rectify this problem. Model 1 resolves the issue of Heywood cases by implementing equality constraints, yielding a four-factor structure that is largely similar to the original model. Model 2 accommodates additional methodological considerations and presents a revised structure of prosociality with three subcomponents: altruistically motivated, norm motivated, and self-reported prosocial behavior. We also report minor corrections of descriptive results, none of which alter the pattern of results and interpretations of the original publication.

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