A Reliability Generalization Meta-analysis of the PERMA-Profiler

Abstract PERMA-Profiler is a well-being scale to measure multi-component well-being regarding Seligman’s approach. The validity and reliability results have demonstrated that its score is valid and reliable in the original study, but it is important to indicate and generalize the results of it. To this end, we performed a reliability generalization meta-analysis using 71 Cronbach alpha coefficients from empirical studies that met the inclusion criteria. We used the random-effects model using Bonett’s transformation method. The pooled alpha was 0.914, 95% CI [0.902–0.925] for the overall PERMA-Profiler, 0.857, 95% CI [0.842–0.871] for P ositive emotions, 0.657, 95% CI [0.623–0.690] for E ngagement, 0.804, 95% CI [0.780–0.829] for R elationship, 0.855, 95% CI [0.838–0.871] for M eaning , 0.783, 95% CI [0.760–0.805] for A ccomplishment. Meta-regression and analog to the ANOVA analysis indicated that continuous and categorical variables did not significantly affect reliability estimates except for the Likert type. As a result, we proposed suggestions for substantive research using the PERMA-Profiler and future psychometric research on it.