Dissertation
MEASURING WELL-BEING: A LONGITUDINAL PSYCHOMETRIC INVESTIGATION INTO THE THEORETICAL STRUCTURES OF WELL-BEING AND IMPLICATIONS FOR ASSESSMENT
Doctor of Philosophy (PhD), Washington State University
01/2020
Handle:
https://hdl.handle.net/2376/117239
Abstract
There are four major models of well-being utilized in positive psychological research: Subjective Well-Being (SWB), Psychological Well-Being (PWB), Flourishing (PERMA), and Psychological Capital (PsyCap). The present study aimed to compare the statistical fit of each of these measurement models as well as their function within common structural theories: Broaden and Build Theory (BBT), Self-Determination Theory (SDT), and Conservation of Resources Theory (COR). Participants (N = 601) filled out validated questionnaires online at two time points, one month apart. SWB, PERMA, and PsyCap had good fit to the data, but PWB did not. Correlation analyses revealed little to no discrimination among the well-being types. PWB had the strongest predictive power of the types of well-being in a cross-lagged panel model, but relative weights analysis indicated no substantial differences. Results indicate that different types of well-being, although conceptually distinguishable, may be statistically interchangeable. Similarly, SDT had slightly stronger support than BBT and COR, but each still may be a valid base from which to develop and evaluate positive psychological interventions in the future.
Metrics
Details
- Title
- MEASURING WELL-BEING: A LONGITUDINAL PSYCHOMETRIC INVESTIGATION INTO THE THEORETICAL STRUCTURES OF WELL-BEING AND IMPLICATIONS FOR ASSESSMENT
- Creators
- Sean Palmer Marquardt Rice
- Contributors
- Tahira M Probst (Advisor)G. Leonard Burns (Committee Member)Bertha Rangel (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- Psychology, Department of
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Number of pages
- 93
- Identifiers
- 99900581414401842
- Language
- English
- Resource Type
- Dissertation