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dc.contributor.advisorFarber, Philip D.
dc.contributor.authorDiLullo, Lauren Marie
dc.date.accessioned2018-05-15T15:12:19Z
dc.date.available2018-05-15T15:12:19Z
dc.date.created2019-05
dc.date.issued2018-02
dc.date.submittedMay 2019
dc.identifier.urihttps://repository.lib.fit.edu
dc.identifier.urihttp://hdl.handle.net/11141/2456
dc.descriptionThesis (Psy.D.) - Florida Institute of Technology, 2018en_US
dc.description.abstractIn attempt to measure one’s self-knowledge, Miller (2000) developed the Scale of Accurate Personality Prediction (SAPP), which is a measure derived from obtained and self-predicted scores across the 21 scales of the Sixteen Personality Factor Questionnaire (16PF). The aim of this investigation was to assess which of the 16PF primary and global factors are the best predictors of SAPP scores. Identification of these predictor variables would then allow for the derivation of one’s SAPP score directly from the those determined factors. Archival data consisting of 645 participants were analyzed through a series of regression analyses across four random samples of the data base, in the attempt to increase the reliability of the results. Analysis indicated that in three of the four samples, Tough Mindedness (TM-) and Tension(Q4+) emerged as the best predictors of the SAPP scores. In addition, Emotional Control Stability (C+), Dominance (E-), Apprehension (O+) and Suspiciousness (L) acted as predictive factors in two of the four random samples. These results were then compared to some previous similar efforts.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCopyright held by author.en_US
dc.titleAnalysis of the Primary and Global Factors of the 16PF to Predict the Scale of Accurate Personality Prediction (SAPP)en_US
dc.typeDoctoral Research Projecten_US
dc.date.updated2018-05-14T17:51:38Z
thesis.degree.nameDoctor of Psychology in Clinical Psychologyen_US
thesis.degree.levelDoctoralen_US
thesis.degree.disciplineClinical Psychologyen_US
thesis.degree.departmentPsychologyen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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