The Oxford Positive Self Scale: psychometric development of an assessment of cognitions associated with psychological well-being.
Psychological Medicine 2023 March 18
BACKGROUND: Developing, elaborating, and consolidating positive views of the self is a plausible route to increased psychological well-being. We set out to provide an assessment of positive self-beliefs that could be used in research and clinical practice.
METHODS: A non-probability online survey was conducted with 2500 UK adults, quota sampled to match the population for age, gender, ethnicity, income, and region. Exploratory factor analysis of a 94-item pool - generated with guidance from people with lived experience of mental health difficulties - was conducted to develop the Oxford Positive Self Scale (OxPos). The item pool was further reduced using regularised structural equation modelling (SEM) before confirmatory factor analysis. Optimal cut-off scores were developed using receiver operating characteristic curves. Additional validations were carried out with two further general population cohorts ( n = 1399; n = 1693).
RESULTS: A 24-item scale was developed with an excellent model fit [robust χ2 = 995.676; df = 246; CFI = 0.956; TLI = 0.951; RMSEA = 0.049 (0.047, 0.052); SRMR = 0.031]. The scale comprises four factors: mastery; strength; enjoyment; and character. SEM indicated that the scale explains 68.6% of variance in psychological well-being. The OxPos score was negatively correlated with depression ( r = -0.49), anxious avoidance ( r = -0.34), paranoia ( r = -0.23), hallucinations ( r = -0.20), and negative self-beliefs ( r = -0.50), and positively correlated with psychological well-being ( r = 0.79), self-esteem ( r = 0.67), and positive social comparison ( r = 0.72). Internal reliability and test-retest reliability were excellent. Cut-offs by age and gender were generated. A short-form was developed, explaining 96% of the full-scale variance.
CONCLUSIONS: The new open access scale provides a psychometrically robust assessment of positive cognitions that are strongly connected to psychological well-being.
METHODS: A non-probability online survey was conducted with 2500 UK adults, quota sampled to match the population for age, gender, ethnicity, income, and region. Exploratory factor analysis of a 94-item pool - generated with guidance from people with lived experience of mental health difficulties - was conducted to develop the Oxford Positive Self Scale (OxPos). The item pool was further reduced using regularised structural equation modelling (SEM) before confirmatory factor analysis. Optimal cut-off scores were developed using receiver operating characteristic curves. Additional validations were carried out with two further general population cohorts ( n = 1399; n = 1693).
RESULTS: A 24-item scale was developed with an excellent model fit [robust χ2 = 995.676; df = 246; CFI = 0.956; TLI = 0.951; RMSEA = 0.049 (0.047, 0.052); SRMR = 0.031]. The scale comprises four factors: mastery; strength; enjoyment; and character. SEM indicated that the scale explains 68.6% of variance in psychological well-being. The OxPos score was negatively correlated with depression ( r = -0.49), anxious avoidance ( r = -0.34), paranoia ( r = -0.23), hallucinations ( r = -0.20), and negative self-beliefs ( r = -0.50), and positively correlated with psychological well-being ( r = 0.79), self-esteem ( r = 0.67), and positive social comparison ( r = 0.72). Internal reliability and test-retest reliability were excellent. Cut-offs by age and gender were generated. A short-form was developed, explaining 96% of the full-scale variance.
CONCLUSIONS: The new open access scale provides a psychometrically robust assessment of positive cognitions that are strongly connected to psychological well-being.
Full text links
Trending Papers
The future of intensive care: the study of the microcirculation will help to guide our therapies.Critical Care : the Official Journal of the Critical Care Forum 2023 May 17
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
Read by QxMD is copyright © 2021 QxMD Software Inc. All rights reserved. By using this service, you agree to our terms of use and privacy policy.
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app