Honors Theses
Date of Award
Spring 5-11-2024
Document Type
Undergraduate Thesis
Department
Psychology
First Advisor
Grace Rivera
Second Advisor
Kate Kellum
Third Advisor
Joseph Wellman
Relational Format
Dissertation/Thesis
Abstract
Identifying predictors of personal growth–defined as striving to fulfill one’s unique potential–may be important for achieving a life of flourishing (Ryff & Singer, 2008). While existing research demonstrates the link between self-esteem and personal growth, gaps remain in our knowledge of the relationship between other potential self-referential predictors and personal growth (Paradise & Kernis, 2002). The intention of the current study is to not only conceptually replicate the link between positive self-regard (i.e., a positive self-evaluation that is theoretically akin to self-esteem) and personal growth, but to also investigate whether different ways of relating to the self offer unique pathways towards personal growth. We predicted that positive self-regard, unconditional self-regard (i.e., a self-evaluation that remains the same regardless of the circumstances), and self-transcendence (i.e., a sense that one expands past the self and connects to their surroundings) are unique positive predictors of personal growth. We investigated these hypotheses in a correlational study (N=473). We found that positive self-regard was a unique positive predictor of personal growth, while unconditional self-regard was a unique negative predictor. There was no significant relationship between self-transcendence and personal growth. These findings suggest that positive self-evaluations seem to be linked to perceived personal growth, whereas a rigid sense of self may potentially be linked with stagnation rather than development–as it negatively relates to personal growth. The generalizability of our results is limited due to the age and culture of our convenience sample.
Recommended Citation
Morse, Cole, "Predicting Personal Growth: An Analysis of Self-Relevant Approaches" (2024). Honors Theses. 3108.
https://egrove.olemiss.edu/hon_thesis/3108
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