Psychometric evaluation of the Encouragement Character Strength Scale in a Chinese sample

Bifactor exploratory structural equation modeling: A meta-analytic review of model fit

Multivariate behavioral research often focuses on latent constructs—such as motivation, self-concept, or wellbeing—that cannot be directly observed. Typically, these latent constructs are measured with items in standardized instruments. To test the factorial structure and multidimensionality of latent constructs in educational and psychological research, Morin et al. (2016a) proposed bifactor exploratory structural equation modeling (B-ESEM). This meta-analytic review (158 studies, k = 308, N = 778,624) aimed to estimate the extent to which B-ESEM model fit differs from other model representations, including confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), hierarchical CFA, hierarchical ESEM, and bifactor-CFA. The study domains included learning and instruction, motivation and emotion, self and identity, depression and wellbeing, and interpersonal relations. The meta-analyzed fit indices were the χ²/df ratio, the comparative fit index (CFI), the Tucker-Lewis index (TLI), the root mean square error of approximation (RMSEA), and the standardized root mean squared residual (SRMR). The findings of this meta-analytic review indicate that the B-ESEM model fit is superior to the fit of reference models. Furthermore, the results suggest that model fit is sensitive to sample size, item number, and the number of specific and general factors in a model.

The Psychometric Properties of the Chinese Version of the Encouragement Character Strength Scale in Selected Undergraduate Students and Teachers

The Encouragement Character Strength Scale (ECSS) is a self-report measure of encouragement, which refers to a tendency to enjoy and perceive oneself as being accomplished in communicating affirmations to motivate others. Although it is theoretically assumed as an overarching construct consisting of two domain-specific factors (i.e., perceived ability and enjoyment), there is inconclusive evidence regarding the most optimal factor structure of the encouragement construct. This study evaluated the factor structure, measurement invariance, and criterion-related validity of the Chinese version of the ECSS among teachers and undergraduate students in mainland China. Results showed that the bifactor model of encouragement demonstrated the best fit among undergraduate students and teachers. There was evidence supporting the measurement invariance of this factor structure across type of samples (i.e., teachers and undergraduate students) and gender. Ancillary bifactor indices indicate the superiority of using the ECSS's overall or general factor over subscale scores. The ECSS total score also showed internal consistency and temporal stability. A review of correlations between encouragement and criterion variables (i.e., kindness, hope, agreeableness, and extraversion) indicates that effect sizes ranged from moderate to large. Furthermore, the encouragement general factor was positively correlated with both psychological well-being and work engagement after controlling for the aforementioned criterion variables and demographic covariates.