Structural equation modeling in practice: A review and recommended two step approach. A final model in which negative affect was tested a mediator of the relationship between neuroticism and NATs also did not fit the data well, χ 2/ df = 4.03, CFI = .96, SRMR = .07, RMSEA = .12 (90% CI. Models in which negative automatic thoughts (NATs) were construed as fully or partially mediating the relationship between neuroticism and negative affect did not provide a good fit to the data. An alternative model in which personality predicted PA, which in turn predicted PATs, did not provide as good a fit to the data, χ 2/ df = 3.03, CFI = .94, SRMR = .09, RMSEA = .10 (90% CI. 10), AIC = 172.45, and accounted for 58% of the variance in PA. Consistent with hypotheses, structural equation modeling indicated that PATs fully mediated the relationship between both neuroticism and extraversion and PA. Consistent with theories that accord cognitive factors a role in mediating the relationship between personality and outcomes, we tested whether positive automatic thoughts (PATs) mediated the relationship between neuroticism, extraversion, and PA among 199 college students (137 women, 70% White, 66% first and second year students, mean age = 24.13, SD = 8.86). However, the mechanisms via which personality affects PA are not well-understood. One of the strongest predictors of PA is personality, particularly neuroticism and extraversion. Positive affect (PA) has emerged as a key well-being facet and a powerful predictor of physical and psychological well-being.
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