Date of Award

3-2017

Document Type

Doctoral Research Project

Degree Name

Doctor of Psychology (PsyD)

Department

Psychology

First Advisor

Philip D. Farber

Second Advisor

Richard T. Elmore Jr.

Third Advisor

John Frongillo

Fourth Advisor

Mary Beth Kenkel

Abstract

The Scale of Accurate Personality Prediction (SAPP), first developed by Miller (2000), was designed to measure one’s self-knowledge regarding their personality traits. The SAPP was derived from the Sixteen Personality Factor Questionnaire (16PF) by means of comparing the differences between a respondent’s predicted and obtained scores on the 16PF. Numerous studies to date have examined both the reliability and validity of the SAPP. A recent study looked at the predictability of the SAPP score utilizing the 16 obtained primary scales of the 16PF (Mazur, 2015) so as to be able to derive a SAPP score directly from the obtained 16PF results. The purpose of this current study was to further examine the potential derivation of the SAPP score by examining which 16PF global factors would best predict an individual’s SAPP scores. Much like the Mazur (2015) study, the current study also utilized a series of multiple regression analyses to determine which global factors on the 16PF best predict the SAPP score, using the current database of over 600 respondents. With the present results, along with those obtained by Mazur (2015), as guidelines, the next regression study will then combine all of the 21 16PF scales to determine the most accurate combination to predict one’s SAPP score. This will then eliminate the need to have one predict one’s scores to yield the SAPP score, thus making it possible to add it to the most recently derived 16 PF specialty scales.

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