4.6. Data analyses

Descriptive statistics were used to report the distribution of the characteristics of the participants. Single-factor linear regression models were used to identify potential factors associated with psychological violence and psychological distress. A p < 0.05 in the adjusted model was imported into the final model. Finally, a structural equation model (SEM) with a bootstrap estimate based on 1,000 bootstrap samples was used to explore the role of personality traits and social support in the association between psychological violence and psychological distress. The model fit was evaluated using fit indices of mean square error of approximation (RMSEA), comparative fit index (CFI), Tucker-Lewis index (TLI), and standardized root mean square residual (SRMR). Descriptive statistics analysis and linear regression modeling were performed using STATA version 15.0 (Stata Corp., College Station, TX, USA). In contrast, SEM analysis was performed using Amos 26.0 (Amos Development Corporation, Meadville, PA, USA). The significant level was set to α = 0.05 (two-tailed).