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.