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.
Recommended Citation
Robert, Sage, "PERSONALITY AND MENTAL ILLNESS: DO EMOTIONAL STABILITY AND EMOTIONAL WELL-BEING PREDICT PSYCHOPATHOLOGY?" (2019). Theses & ETDs. 5790.
https://digitalcommons.ncf.edu/theses_etds/5790