INVESTIGATION OF THE PSYCHOMETRIC PROPERTIES OF THE METAVERSE FEAR SCA

I am a graduate of the Department of Science Education, Faculty of Education, Çanakkale Onsekiz Mart University. I am currently doing my doctorate at the same university.

It was aimed to develop the Metaverse Fear Scale (MFS) for secondary school students and to verify the validity, and reliability statistics using the Rasch model. The data collection process was carried out with the participation of 251 secondary school students studying at various levels. Scale development studies were formed from the steps of content, and construct validity. In the scope validity studies, the 28-item draft MFS prepared in the item pool was submitted to expert opinion. In line with expert opinion evaluations, and recommendations, 2 items were removed from MFS because they could not provide an adequate index of validity (CVI), item-content validity rate (I-CRV), and kappa values. The Rasch limitations of the MFS were realized through Exploratory Factor Analysis (EFA), and internal consistency analyses. In addition, item interactions, and test consistency of MFS were examined. In the Rasch modeling of MFS, dimensional analysis, item fit analysis, item polarities, and item calibration map were evaluated. Accordingly, in the dimensional analysis of MFS, the unexplained variance was 37.3%, and the variance of the first contrast over the entire data set was 5.7%.