ABSTRACT This mixed methods Ph.D. study aims to evaluate the structure of a new five component Cyber Wellness model from research with 320 participants from a multi-stage random sampling method. This model includes five components found from critical literature review: 1. Cyber Use, 2. Cyber Citizenship, 3. Cyber Ethical Relationship, 4. Cyber Safety and 5. Cyber Rights. Participants responded to a 5-point Likert scale with X questions. In our analysis, we found an overall Cronbach’s alpha was .938, with individual component alphas ranging from .733 to .889. Statistical analyses included; mean, percentage, standard deviation, and confirmatory factor analysis. We found that each model component demonstrated significance at the .01 level, with factor loadings ranging from .71 to .96, with the highest factor loading for being Cyber Ethical Relationship. This means that improved cyber ethical relationships among older individuals could greatly enhance their overall wellness. Our confirmatory factor analysis results showed Chi-Square (χ2) = 64.00, df = 50, p = .088, goodness of fit index (GFI) = .97, adjusted goodness of fit index (AGFI) = .95, root mean square error of approximation (RMSEA) = .030. These results indicate that the chi-square value significantly differs from zero at the .05 level, supporting our main hypothesis that the measurement model aligns with empirical data and that the Cyber Wellness model developed in this study can serve as a foundational concept for designing learning programs that enhance Cyber Wellness among Thai older people using the identified indicators to create micro-learning modules suitable for their needs.