The Well-Being Profile (WB-Pro) : Creating a theoretically based multidimensional measure of well- being to advance theory, research, policy, and practice
Journal article
Marsh, Herbert W., Huppert, Felicia A., Donald, James N., Horwood, Marcus S. and Sahdra, Baljinder K.. (2020). The Well-Being Profile (WB-Pro) : Creating a theoretically based multidimensional measure of well- being to advance theory, research, policy, and practice. Psychological Assessment. 32(3), pp. 294-313. https://doi.org/10.1037/pas0000787
Authors | Marsh, Herbert W., Huppert, Felicia A., Donald, James N., Horwood, Marcus S. and Sahdra, Baljinder K. |
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Abstract | There is no universally agreed definition of well-being as a subjective experience, but Huppert and So (2013) adopted and systematically applied the definition of well-being as positive mental health—the opposite of the common mental disorders described in standard mental health classifications (e.g., Diagnostic and Statistical Manual of Mental Disorders). We extended their theoretical approach to include multi-item scales, using 2 waves of nationally representative U.S. adult samples to develop, test, and validate our multidimensional measure of well-being (WB-Pro). This resulted in a good-fitting a priori (48-item, 15-factor) model that was invariant over time, education, gender, and age; showed good reliability (coefficient αs .81–.93), test–retest correlation (.73–.85; M = .80), and convergent/discriminant validity based on a multitrait-multimethod analysis, and relations with demographic variables, selected psychological measures, and other multidimensional and purportedly unidimensional well-being measures. Further, we found that items from 2 widely used, purportedly unidimensional well-being measures loaded on different WB-Pro factors consistent with a priori predictions based on the WB-Pro factor structure, thereby calling into question their claimed unidimensionality and theoretical rationale. Because some applications require a short global measure, we used a machine-learning algorithm to construct 2 global well-being short versions (five- and 15-item forms) and tested these formative measures in relation to the full-form and validity criteria (to download short and long versions see https://ippe.acu.edu.au/research/research-instruments/wb-pro). The WB-Pro appears to be one of the most comprehensive measures of subjective well-being, based on a sound conceptual model and empirical support, with broad applicability for research and practice, as well as providing a framework for evaluating the breadth of other well-being measures. (PsycINFO Database Record (c) 2020 APA, all rights reserved) |
Year | 2020 |
Journal | Psychological Assessment |
Journal citation | 32 (3), pp. 294-313 |
Publisher | American Psychological Association Inc. |
ISSN | 1040-3590 |
Digital Object Identifier (DOI) | https://doi.org/10.1037/pas0000787 |
Scopus EID | 2-s2.0-85076420524 |
Web address (URL) | https://search.ebscohost.com/login.aspx?direct=true&AuthType=shib&db=pdh&AN=2019-77326-001&site=ehost-live&scope=site&custid=s5501413 |
Page range | 294-313 |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 12 Dec 2019 |
Publication process dates | |
Deposited | 22 Feb 2023 |
https://acuresearchbank.acu.edu.au/item/8yv8x/the-well-being-profile-wb-pro-creating-a-theoretically-based-multidimensional-measure-of-well-being-to-advance-theory-research-policy-and-practice
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