AI Article Synopsis

  • The study emphasizes the significance of incorporating negative moral attributes alongside positive ones when measuring stereotypes.
  • It analyzes how different combinations of positive and negative items affect predictions related to emotions like anger and fear, as well as overall evaluations of stereotypes.
  • Findings from a sample of 550 Spaniards indicate that using negative morality improves the understanding of intergroup emotional responses and provides a more effective evaluation of stereotypes.

Article Abstract

Competence, morality and sociability dimensions have shown to be essential to measure stereotypes. Theoretically, the attributes associated with the negative pole of morality are more reliable and have shown to have higher evaluative weight. However, the current research usually employs only positive attributes to measure each dimension. Since the advantages of the inclusion of negative morality are clear it would be interesting to know about the effects of the inclusion of such type of attributes (i.e., it is good or bad for the measurement). The purpose of this study is to examine if the addition of negative items makes possible to improve the stereotype content measures. This study compares the differences between scales with various compositions of positive and negative items of stereotypes to predict three related variables: anger, fear and a semantic differential of evaluation. The study was carried out with a sample of 550 Spaniards. The data found highlights the importance of using attributes of the negative pole of morality in studying stereotypes. Their use was able to explain the intergroup emotional responses and the semantic differential more efficiently.

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Source
http://dx.doi.org/10.1111/sjop.12346DOI Listing

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