Indirect Path Analysis Research Articles

The relationship between self-efficacy, coping skill and substance use in adolescent: based on structural equation modeling

Background: This study was aimed to investigate interrelationships between the self-efficacy and coping skill in relation to substance use behavior in adolescent.Method: A self-administered questionnaire was completed by 720 girls and boys, aged between 14 and 18, involved in the cross-sectional study in Iran. In the first step, first-order measurement models were examined to assess how well the observed measures could reflect the latent constructs and in the second step, the structural component consisting of relationships between the latent factors was examined to determine the theoretical factors of the coping and self-efficacy predicted substance use behavior, as hypothesized.Result: The results of the first step revealed stable assessment of four confirmed factors in the first-order measurement model. In second step, the structural model of coping and self-efficacy showed an acceptable adequacy in predicting substance use behavior in the second-order model. Direct and indirect path analysis demonstrated that relationship between refusal self-efficacy and substance use would be mediated by the coping skill, and this relationship could significantly predict substance use behavior in our study.Conclusion: The results of our hypothesized model of coping self-efficacy (CSE) had an acceptable adequacy in predicting substance use behavior in adolescents.

A Path Analysis of Mental Health Among Thai Immigrant Employees in Pranakron Si Ayutthaya Province.

The aims of this research were to study both direct and indirect path analyses of mental health, and to analyse a causal relationship of each variable. A cross-sectional study used stratified random sampling to select Thai immigrant employees in Pranakron Si Ayutthaya Province, Thailand. General data were analysed by number and percentage. The mental health variable was measured by THMHI-15. The latter was analysed by general statistic, and a path analysis. The results found that job conditions and distance travelled between house and workplace had a direct effect on mental health with a standardised regression weight of 0.581, and -0.443, respectively (p value <0.01). It was found that housing conditions had no effect on mental health. The income variable had a direct influence on mental health with a standardised regression weight of 0.68 (p value <0.01). This research indicated that job conditions were an important factor related to mental health.