Date of Award
Spring 4-10-2025
Document Type
Open Access Thesis
Degree Name
Doctor of Psychology (PsyD)
Department
Psychology
First Advisor
Jesma Revering PsyD.
Second Advisor
Patricia Hopkins-Smith, PhD.
Third Advisor
Marcia Bennett, PhD.
Abstract
Emotional intelligence (EI) is a construct that has been present in psychology in various, non-specific forms for many years. Mayer and Salovey (1997) first created a specific construct of EI that centered on four key skills: emotion-perception; using emotions to facilitate thought; understanding one’s own and other’s emotions; and emotion regulation. Research on EI has largely been regulated to social domains, but some literature has established links between overall EI and specific EI skills and clinical symptoms such as depression and anxiety. The current study sought to further the literature on EI in clinical domains by studying correlations between emotion perception and regulation, and depression, affect intensity, and loneliness.
A correlational research design was used to test the following hypotheses: (1) emotion perception would positively correlate with affect intensity; (2) emotion perception would positively correlate with depressive symptoms; (3) emotion perception would positively correlate with loneliness; and (4) emotion regulation would moderate the relationship between emotion perception and affect intensity.
A combined sample of 88 Augsburg University students and members of the public participated in the current study. They completed a performance-based measure of EI, the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), along with self-report measures of depression (the Beck Depression Inventory, Second Edition; BDI-II), affect intensity (the Affect Intensity Measure; AIM), and loneliness (the De Jong-Gierveld Loneliness Scale; DJGLS). Pearson’s r and multiple regression analyses were run to test the study hypotheses. The correlational analyses for the first three hypotheses showed non-significant associations. Emotion regulation was also not found to significantly moderate the relationship between emotion perception, affect intensity, and depression, as it could not better predict this relationship than the mean model.
While the current study failed to replicate the findings of previous research, the results may highlight discrepancies between self-report and performance-based measures of EI. In doing so, the results of the current study may allude to the impact of belief in one’s EI abilities versus actual ability on clinical symptoms.
Identifier
SC 11.PsyD.2025.Fleig.R.
Recommended Citation
Fleig, Ryan, "Emotional Intelligence as a Moderator Between Depression, Loneliness, and Affect Intensity" (2025). Theses and Graduate Projects. 1650.
https://idun.augsburg.edu/etd/1650