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How Affectively-Based and Cognitively-Based Attitudes Drive Intergroup Behaviours: The Moderating Role of Affective-Cognitive Consistency

Overview of attention for article published in PLOS ONE, November 2013
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Title
How Affectively-Based and Cognitively-Based Attitudes Drive Intergroup Behaviours: The Moderating Role of Affective-Cognitive Consistency
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0082150
Pubmed ID
Authors

Jie Zhou, John Dovidio, Erping Wang

Abstract

The moderating role of affective-cognitive consistency in the effects of affectively-based and cognitively-based attitudes on consummatory and instrumental behaviors was explored using two experimental studies in the intergroup context. Study 1 revealed that affectively-based attitudes were better predictors than cognitively-based attitudes regardless of affective-cognitive consistency for consummatory behaviors (e.g., undergraduates' supportive behaviors toward government officials). Study 2, which investigated task groups' supportive behaviors toward an immediate supervisory group, found that for these instrumental behaviors cognitively-based attitudes were better predictors than affectively-based attitudes only when affective-cognitive consistency was high. The present research also examined the mechanism by which affective-cognitive consistency moderates the relative roles of affectively-based and cognitively-based attitudes in attitude-behavior consistency. Results indicated that attitude-behavior consistency is eroded primarily because of the weaker relationship of affective or cognitive components to behaviors than to general attitudes. The reciprocal implications of research on attitudes and work on intergroup relations are considered.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Oman 1 2%
Switzerland 1 2%
South Africa 1 2%
Unknown 42 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Student > Master 7 15%
Professor > Associate Professor 6 13%
Student > Doctoral Student 4 9%
Student > Bachelor 3 7%
Other 8 17%
Unknown 6 13%
Readers by discipline Count As %
Psychology 15 33%
Business, Management and Accounting 9 20%
Social Sciences 5 11%
Medicine and Dentistry 4 9%
Nursing and Health Professions 1 2%
Other 5 11%
Unknown 7 15%