Data analysis
Concluded information was gathered and transferred from the online stage referenced previously. With data imported and checked for culmination, SAS9.3 was used for datacalculation, and Amos 22.0 was utilized to construct the organizational condition model. Descriptive statistics were accounted for on socio-segment qualities, social support, depression, and feeling of anxiety. Mean±standard deviation (SD) was utilized to portray regularlyappropriated constant factors, median (interquartile range, IQR) for skewed-circulated consistent factors, and frequencies (percentage) for sectionalized factors. In this investigation, social support, stress, and depression scores were unceasing factors, that did not adjust to an ordinary circulation, hence, Spearman correlation examination was utilized to test the connection.
This examination constructed a structural equation model of social support, stress, and depression and tried the intervening part of pressure between social support and depression. Confirmatory Factor Analysis (CFA) assessed the decency of fit. Through a satisfactory measurement model,a Structural Equation Model (SEM) was utilized to assess the theoretical connections among social support, stress, and depression. In the bivariate examination, the sociodemographic attributes fundamentally connected with depression were controlled as covariates in SEM. Since social support, stress, and depression do not comply with typical appropriation, we utilized the powerful most extreme probability assessment (MLR) to gauge the boundaries of the basic condition model. In the event that P < 0.05 was gotten by a respective test, the boundaries were viewed as factually huge. Chi-square/DF, Comparative Fit File (CFI), Root Mean Square Error of Approximation (RMSEA), and Standard Root Mean Square Residual (SRMR) were utilized to assess the fitting between the estimation model and the auxiliary model. On the off chance that the proportion of chi-square/DF < 3.0, CFI ≥ 0.95, RMSEA ≤ 0.06, SRMR < 0.08, the model fitting is regarded as acceptable.