Graduation Year
2021
Document Type
Dissertation
Degree
Ph.D.
Degree Name
Doctor of Philosophy (Ph.D.)
Degree Granting Department
Psychology
Major Professor
Michael T. Brannick, Ph.D.
Co-Major Professor
Walter C. Borman, Ph.D.
Committee Member
Stephen Stark, Ph.D.
Committee Member
Vicky Phares, Ph.D.
Committee Member
Yi-hsin Chen, Ph.D.
Keywords
head-to-head comparison, latent profile analysis, person-centered approach, resilience, variable-centered approach
Abstract
Resilience research has become increasingly popular in organizational sciences in recent years. Different factor structures of resilience have been proposed and yet no consensus has been reached regarding its underlying dimensions. Such a variable-centered perspective of studying resilience may be well complemented by a typological approach, which may shed fresh light on the nature of resilience. The current study took a person-centered approach with the advantage of using latent profile analysis to explore a set of latent profiles of resilience. Two studies were conducted. In Study 1 (N = 479), archival undergraduate data were used to explore resilience profiles and their relationships with personality variables (i.e., the Big Five and trait affect) and related outcomes (i.e., interpersonal counterproductive work behavior, job satisfaction, and life satisfaction). In Study 2 (N = 483), an employee sample collected on Amazon’s Mechanical Turk (MTurk) were used to confirm the set of identified latent profiles and extend Study 1 by including two additional outcome variables (job burnout and stress). Finally, this study compared the person- and variable-centered approaches to examine whether latent profiles of resilience provided incremental validity over dimensions of resilience in predicting outcomes in both studies. Four latent profiles of resilience emerged in the undergraduate sample and showed differential relationships with personality variables and outcomes; three out of four profiles were replicated in the MTurk sample. Profile membership provided incremental validity beyond dimensions of resilience, the Big Five, and trait affect in the MTurk sample but not the undergraduate sample. These mixed findings, strengths and limitations of the study, and implications for theory and practice were discussed.
Scholar Commons Citation
Teng, Yuejia, "The nature of resilience: A person-centered approach using latent profile analysis" (2021). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/9242