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dc.contributor.advisor Beal, Daniel
dc.creatorNaemi, Bobby Darius
dc.date.accessioned 2018-12-03T18:32:41Z
dc.date.available 2018-12-03T18:32:41Z
dc.date.issued 2009
dc.identifier.urihttps://hdl.handle.net/1911/103690
dc.description.abstract The goal of this study is to examine individual differences in the use of affective and cognitive information when forming attitudes, or affect-cognition reliance (ACR). An empirical measure of this construct is developed through the use of latent class modeling and multilevel modeling. The proposed measure of ACR is compared with existing personality measures and validated in an applied context by focusing on judgments of job applicants through resume ratings. Results indicate that the multilevel measure of ACR has a coherent nomological network in terms of convergent validity with personality measures and also interacts with resume quality to predict resume ratings, which bears implications for real world hiring situations.
dc.format.extent 116 pp
dc.language.iso eng
dc.subjectOccupational psychology
Personality psychology
Quantitative psychology
Psychology
Affect-cognition reliance
Resume ratings
dc.title Affect -cognition reliance: Measurement and validation
dc.identifier.digital 304989888
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Psychology
thesis.degree.discipline Social Sciences
thesis.degree.grantor Rice University
thesis.degree.level Doctoral
thesis.degree.name Doctor of Philosophy
dc.identifier.callno THESIS PSYCH. 2009 NAEMI
dc.identifier.citation Naemi, Bobby Darius. "Affect -cognition reliance: Measurement and validation." (2009) Diss., Rice University. https://hdl.handle.net/1911/103690.


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