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Reliability and Validity of the Intergroup Compromise Inventory in Two Bipartisan Samples

Author

Listed:
  • Jarryd Willis
  • Melissa Daniels
  • Gareth Disler
  • Laureen Khalil
  • April (Ye) Zhou

Abstract

Compromise is largely based on being able to come to a common perspective while sacrificing marginal values that would otherwise deny a reconciliation of disparate ideas. Due to the absence of an established intergroup compromise measure in the extant political or social psychology literature, we attempted to develop and psychometrically examine such a scale within the political psychology domain. Across two studies, we found construct and predictive validity for three scales that predict individuals’ propensity to compromise in a political context. In Study 2, we found evidence of model invariance between Democrats and Republicans, suggesting that our measures of compromise, political animus, and distrust are assessing these constructs equally for both major parties.

Suggested Citation

  • Jarryd Willis & Melissa Daniels & Gareth Disler & Laureen Khalil & April (Ye) Zhou, 2017. "Reliability and Validity of the Intergroup Compromise Inventory in Two Bipartisan Samples," SAGE Open, , vol. 7(4), pages 21582440177, October.
  • Handle: RePEc:sae:sagope:v:7:y:2017:i:4:p:2158244017739339
    DOI: 10.1177/2158244017739339
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    References listed on IDEAS

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    1. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    2. Ledyard Tucker & Charles Lewis, 1973. "A reliability coefficient for maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 1-10, March.
    3. John Schmid & John Leiman, 1957. "The development of hierarchical factor solutions," Psychometrika, Springer;The Psychometric Society, vol. 22(1), pages 53-61, March.
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