Measuring and predicting extreme response style: A latent class approach

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dc.contributor.advisorBeal, Daniel
dc.creatorNaemi, Bobby Darius
dc.date.accessioned2009-06-04T07:59:14Z
dc.date.available2009-06-04T07:59:14Z
dc.date.issued2006
dc.description.abstractThe purpose of this study was to explore various ways to predict and measure extreme response style, or overuse of endpoint categories in rating scales. Data was collected from a total of 913 regular participants and 240 peer participants, who completed an online battery of self-report and peer report questionnaires respectively. In addition to verifying the stability and generality of extreme responding, extreme response style was related to two personality predictors: intolerance of ambiguity and decisiveness. Both main effects and interactive effects with speed of survey completion were uncovered. Extreme response style was measured with several simple proportional methods, which were all shown to tap a latent factor of response extremity, and a latent class method, which did not achieve significant relationships with the personality predictors.
dc.format.extent93 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS PSYCH. 2006 NAEMI
dc.identifier.citationNaemi, Bobby Darius. "Measuring and predicting extreme response style: A latent class approach." (2006) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17901">https://hdl.handle.net/1911/17901</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17901
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectIndustrial psychology
dc.subjectPersonality psychology
dc.subjectPsychology
dc.subjectPsychometrics
dc.titleMeasuring and predicting extreme response style: A latent class approach
dc.typeThesis
dc.type.materialText
thesis.degree.departmentPsychology
thesis.degree.disciplineSocial Sciences
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts
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