AI Summary & Key Takeaways
AI InsightIn the context of these findings, the validity and reliability values of the scale were high.
📌 3 Key Takeaways
Abstract
The purpose of this study is to perform the validity and reliability study of the Mobile Application Rating Scale (MARS) for a mobile learning system that contains e-contents in different forms to improve digital parenting competencies for adults. This scale was prepared by Stoyanov et al. (2015) and adapted into Turkish for the e-pulse application by Korkmaz and Arıkan (2021). In this study, the scale items were rearranged in the context of the study to evaluate “digital parenting”. This scale aims to evaluate the application with four sub-dimensions of “participation, functionality, aesthetics, and knowledge”, and it has 21 items. The study was carried out with 181 participants. Considering the validity results of the scale, the model with the highest validity among the single-factor model, four-factor model, and second-level confirmatory factor analysis models was the four-factor model, as in the original scale. Factor loads vary between 0.55 and 0.91. Considering the reliability results, the average variance extracted for the participation dimension was 0.69, for functionality 0.78, for aesthetics 0.75, for knowledge dimension 0.63, and the average variance extracted for the whole scale was 0.70. In addition, alpha reliability (stratified alpha reliability) was 0.92 for participation, 0.94 for functionality, 0.92 for aesthetics, 0.92 for knowledge, and 0.97 for the whole scale. In the context of these findings, the validity and reliability values of the scale were high.