The Predictive Relationship Between Psychological Capital and Academic Burnout in Postgraduate Students

Abstract

Purpose: The purpose of this quantitative correlational study was to determine if, or to what extent, the composite and sub-composite categories of Psychological Capital (PsyCap) predict academic burnout in American postgraduate health science students at a university in the Southeastern United States. Methods: The variables of the study were measured by the Psychological Capital Questionnaire (PCQ-24) and the Maslach Burnout Inventory-Student Survey (MBI-SS). A convenience sampling method was used to collect data from the target population, which included a final sample of 90 health science postgraduate students. Results: A simple linear regression analysis revealed that PsyCap was a significant and negative predictor of academic burnout (F(1,88) = 12.00, p < .001, R2 = 0.12; B = -0.28, t(88) = -3.46, p < .001). Additionally, multiple linear regression analysis revealed that only one sub-category of PsyCap, labeled as Optimism, was a significant and negative predictor of academic burnout (F(4,85) = 5.17, p < .001, R2= 0.20; B = -0.90, t(85) = -3.17, p = .002). Conclusion: The findings may be used by higher education instructors, advisors, and administrators in the United States to adopt policies, practices, programs, student advising, and student mentorship that foster PsyCap and Optimism development in students, which may mitigate the risks and consequences of academic burnout.