Explanation and Validation of a Model of Students’ Behavioral Patterns in Cyberspace Using a Structural Equation Modeling Approach
Keywords:
Cyberspace, Education, Media literacy, Mixed, methods research, Structural equation modeling, Student behavioral outcomes, Student behavioral patternsAbstract
Purpose: This study aimed to explain and validate a multidimensional model of students’ behavioral patterns in cyberspace and to examine the structural relationships among causal factors, contextual conditions, intervening factors, effective strategies, students’ behavior, and its consequences.
Methodology: This applied study employed a sequential exploratory mixed-methods design. In the qualitative phase, grounded theory and semi-structured interviews with 15 experts in educational sciences, psychology, sociology, media studies, and educational technology were used to identify the dimensions and components of the model. In the quantitative phase, the resulting model was tested using a descriptive-survey design among 384 upper-secondary students in North Khorasan Province. Data were collected using a researcher-developed 106-item questionnaire and analyzed with SPSS-26 and SmartPLS-3 through confirmatory factor analysis and partial least squares structural equation modeling.
Findings: Structural model analysis indicated that causal factors (β=0.586, p<0.001), contextual conditions (β=0.435, p<0.001), intervening factors (β=0.878, p<0.001), and effective strategies (β=0.748, p<0.001) had significant positive effects on students’ behavior in cyberspace. Students’ behavior, in turn, had a strong and significant positive effect on consequences (β=0.938, p<0.001). The coefficient of determination was 0.966 for students’ behavior and 0.879 for consequences. The overall SRMR value was 0.065, indicating an acceptable fit of the structural model.
Conclusion: The validated model demonstrates that students’ behavioral patterns in cyberspace emerge from the simultaneous interaction of individual, familial, social, educational, and technological factors. Effective management of students’ digital behavior therefore requires a multilevel and integrated approach emphasizing family and school involvement, media literacy, self-control, self-awareness, critical thinking, and the development of purposeful and guided digital environments.
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