Details
| Original language | English |
|---|---|
| Pages (from-to) | 754-759 |
| Number of pages | 6 |
| Journal | Social Psychological and Personality Science |
| Volume | 9 |
| Issue number | 6 |
| Early online date | 24 Oct 2017 |
| Publication status | Published - 1 Aug 2018 |
| Externally published | Yes |
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.
Keywords
- behavioral economics, helping/prosocial behavior, norms, social cognition, structural equation modeling
ASJC Scopus subject areas
- Psychology(all)
- Social Psychology
- Psychology(all)
- Clinical Psychology
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In: Social Psychological and Personality Science, Vol. 9, No. 6, 01.08.2018, p. 754-759.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - The Structure of Human Prosociality Revisited
T2 - Corrigendum and Addendum to Böckler, Tusche, and Singer (2016)
AU - Böckler, Anne
AU - Tusche, Anita
AU - Singer, Tania
PY - 2018/8/1
Y1 - 2018/8/1
N2 - 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.
AB - 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.
KW - behavioral economics
KW - helping/prosocial behavior
KW - norms
KW - social cognition
KW - structural equation modeling
UR - http://www.scopus.com/inward/record.url?scp=85053198994&partnerID=8YFLogxK
U2 - 10.1177/1948550617722200
DO - 10.1177/1948550617722200
M3 - Article
AN - SCOPUS:85053198994
VL - 9
SP - 754
EP - 759
JO - Social Psychological and Personality Science
JF - Social Psychological and Personality Science
SN - 1948-5506
IS - 6
ER -