Author

Sage Robert

Date of Award

2019

Document Type

Thesis

Degree Name

Bachelors

Department

Social Sciences

First Advisor

Bauer, Gordon

Area of Concentration

Biopsychology

Abstract

The present research tested the hypothesis that individuals who score high in emotional stability and high in emotional well-being (EWB) will have a lower probability of having a mental illness. Amazon’s Mechanical Turk (MTurk) was used to collect 129 participants who completed a three-part survey measuring personality, emotional well-being, and psychopathology. Part 1 of the survey included the International Personality Item Pool (IPIP) which asked questions pertaining to the Big Five personality traits (extraversion, agreeableness, conscientiousness, emotional stability, openness to experience). In part 2, participants completed the Oxford Happiness Questionnaire (OHQ) to measure emotional well-being. In part 3, participants completed questions concerning psychopathology via a self-report. Emotional stability (as determined by the IPIP) and emotional well-being (as determined by the OHQ) were used to predict mental illness. Emotional stability and emotional well-being had the highest statistically significant scores. Using these measurements, of IPIP and OHQ, the likelihood of psychopathology among the participants was predicted. The results support the hypothesis. Limitations, future directions, as well as implications for Big Five personality traits and emotional well-being as predictors of psychopathology are discussed.

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