Psychometric Properties of the Digital Psychological Competence Scale for University Students in the Kingdom of Saudi Arabia

Higher education has undergone a rapid digital transformation, requiring students to navigate technology-rich learning environments that demand integrated cognitive and psychological competencies. This study aimed to develop and validate a Psychodigital Competence Scale for university students in the western region of Saudi Arabia, using a sample of 523 students. The initial version included 21 items, which were revised through expert judgment (agreement >= 80%) to produce a final 16-item, four-factor scale. Construct validity was assessed using a pilot sample, and Pearson correlations demonstrated statistically significant item-scale relationships at the 0.05 and 0.01 levels. Reliability indicators showed significant split-half reliability (p < 0.01) and a high Cronbach's alpha coefficient (0.908). Exploratory factor analysis supported data suitability (KMO = 0.85, Bartlett's test p < 0.01, determinant = 0.011), and confirmatory factor analysis validated the four-factor model. These findings confirm strong psychometric properties, establishing the scale as a reliable tool for psychological and educational research.