2.4.6. Data management and analysis
Following the field data collection, the data were entered into Epidata software version 3.1 and were analyzed using SPSS version 23.0. Data were checked for any missed values and outliers. Proportions, the mean, and standard deviations were employed to depict descriptive data. Item elimination was based on factor loading criteria. Similarly, the status of the SRH life skills between the intervention and control arms was compared using the chi-squared association test. Factors enhancing SRH life skills were identified using a bivariate analysis to test the relationship between each independent and outcome variables. This study employed a generalized linear model (GLM) (The model fitness for the multi-level model was tested using the log-likelihood ratio (LR). Four models were created during the analysis. The first model was used to determine the effect of cluster variation on SRH life skills. The second model was used to determine individual-level variables, the third model was used for behavioral-level variables, and the fourth model was used for environmental-level variables. We performed a bivariate analysis first, and only the variables with a The mean difference in adolescents' life skills between the trial and control arms was compared using paired sample independent 