An Examination of the 16PF Demographic Variables as Predictors of The Scale For Accurate Personality Prediction (SAPP)
The Scale of Accurate Personality Prediction (SAPP) was first developed in 2000 by Miller. Its principal purpose is to serve as a measure of one’s ability to accurately predict his or her personality traits, and as such, potentially reflect the level of one’s self-knowledge. The measure is derived from the Sixteen Personality Factor Questionnaire (16PF). The purpose of the current study was to follow up on a recent attempt to identify the best predictors of the SAPP using the 16 primary factors of the 16PF (Mazur, 2013). This study focuses on certain demographics to determine their potential ability to predict derived SAPP scores. To do so, a series of a series of multiple regression analyses were run to determine if the demographic variables would yield any significant differences between those who obtained high and low SAPP scores. The current study utilized a database of 609 respondents to complete the analyses. The current study concluded males more accurately predicted their personality scores than females and as a women’s education increased their ability to accurately predict their personality score decreased. It was hoped this research would provide a better picture between demographics and self-knowledge, and also enhance the predictability of the SAPP, and in doing so, the predictability of one’s level of self-knowledge.