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 ( = 1399; = 1693).

Results: A 24-item scale was developed with an excellent model fit [robust χ = 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 ( = -0.49), anxious avoidance ( = -0.34), paranoia ( = -0.23), hallucinations ( = -0.20), and negative self-beliefs ( = -0.50), and positively correlated with psychological well-being ( = 0.79), self-esteem ( = 0.67), and positive social comparison ( = 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10719672PMC
http://dx.doi.org/10.1017/S0033291723000624DOI Listing

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