The Satisfaction with Life Scale (SWLS): Psychometric Evaluation Among Managers Reveals Two Novel Subscales and Suboptimal Performance of the Shortened Three-Item Version (SWLS 3)
摘要
Life satisfaction is widely used as a social indicator to direct governmental interventions that target individuals’ quality of life. Issues of dimensionality and equivalent functioning of common measures such as the Satisfaction with Life Scale (SWLS) may negatively implicate inferences and decisions derived from those measures. Using a cross-sectional design and a convenience sample of 255 Polish managers (mean age = 48.9 ± 8.2 years, 22.6% females), this study evaluated the SWLS through confirmatory factor analysis (CFA) and multigroup CFA for construct validity and measurement invariance. Its convergent, discriminant, structural coherence, and criterion validities were assessed through average variance extracted (AVE), heterotrait-monotrait (HTMT) ratio of correlations, SWLS correlations with its subscales and with measures of personality traits, COVID-19 distress, and general organizational trait. Data did not support the one-factor and present-past life satisfaction two-factor SWLS or the unidimensional SWLS3. A novel two-factor SWLS of congruence (items 1, 2, and 5) and achievement (items 3 and 4) displayed the best fit (χ2 = 7.38, DF = 4, CMIN/DF = 1.85, p = 0.117, CFI = 0.996, TLI = 0.991, RMSEA = 0.058, SRMR = 0.0136), invariance across gender and marital status, high convergent validity, high internal consistency, borderline/suboptimal discriminant validity, good structural coherence and as noted by correlations with its subscales, and adequate criterion validity—SWLS and congruence were negatively associated with COVID-19 distress, congruence positively correlated with age, achievement correlated with openness to experience, and all SWLS measures positively correlated with general organizational trait. The findings expand our understanding of how managers conceptualize life satisfaction. Replicating the analysis in larger samples from other countries is needed to confirm the findings.