Spss win 22.0 program

This study used raw data from the 2020 KCHS, which was a stratified sampling design rather than a simple random sampling design, so it is recommended to apply the complex sampling design for analysis (16 (link)). Therefore, we analyzed the data using a complex sample design by applying weights, stratification, and cluster. Descriptive statistical analysis was conducted on the measured variables, and the difference in depressive symptoms according to the measured variables was analyzed using the Rao-Scott X² test. Logistic regression analysis was conducted to identify the factors associated with depressive symptoms. The SPSS/WIN 22.0 program (SPSS, Chicago, Illinois, USA) was used, and the statistical significance level was set to p < 0.05.

The analysis was conducted using IBM SPSS/WIN 22.0 program (SPSS, Chicago, IL, USA) and AMOS version 20 (SPSS Inc., an IBM Company, Chicago, IL, USA). Exploratory factor analysis (EFA) was performed by using principle component analysis with varimax rotation. In conducting confirmatory factor analysis (CFA), the model fit was verified on the basis of the chi-square test, normal fit index (NFI), comparative fit index (CFI), root-mean-square error of approximation (RMSEA), the goodness of fit index (GFI) and the standardized root mean square residual (SRMR). Reliability coefficients were calculated to verify reliability, stability, homogeneity and internal consistency. In addition, the Pearson correlation test was used to examine the correlation between scores from the Moyamoya-HB Scale and the Korean Adolescents’ Health Behaviors Tool [25 (link)] to test for concurrent validity among criterion-related validity.