Analysis of the Primary and Global Factors of the 16PF to Evaluate Individual Traits the General Population can Predict as they Relate to the Scale of Accurate Personality Prediction (SAPP)
Date of Award
Doctoral Research Project
Doctor of Psychology (PsyD)
Lisa A. Steelman
Miller (2000) developed the Scale of Accurate Personality Prediction (SAPP), which was derived from a formula comparing obtained and self-predicted scores from the Sixteen Personality Factor Questionnaire (16PF)’s 21 scales. While this measure creates one score speaking to the accuracy in self-prediction of a participant across all the traits, this present study was developed in order to examine each of the 21 traits individually. This includes the 16 primary factors and the 5 global factors. Archival data from 609 participants was analyzed through 5 Pearson correlational analyses. One of the correlational analyses was performed on the total sample of 609 participants. The other four correlational analyses were performed on four random samples of 150 participants each. Results indicated Social Boldness (H) and Extraversion (EX) were the traits with the strongest correlation with the participants’ predicted scores. Reasoning (B) was consistently found as not being significantly correlated with its corresponding predicted scores.
Haage, Brittany Allison, "Analysis of the Primary and Global Factors of the 16PF to Evaluate Individual Traits the General Population can Predict as they Relate to the Scale of Accurate Personality Prediction (SAPP)" (2020). Theses and Dissertations. 291.