Abstract
The rapid advancements in information and communications technology have led psychologists to address the psychological and social effects of these developments. In order to keep up with the changes brought about by the digital revolution, it is necessary to develop measurement tools that are compatible with these changes. The aim of this study is to identify the factor analysis of the Smartphone Addiction Inventory (SPAI) in the Republic of Yemen. The study consists of a sample of 1920 university students, with 1136 males and 784 females, who answered the SPAI questionnaire. The results of the factor analysis show that the five-factor model of the SPAI has excellent indicators, with a goodness-of-fit of the data. The values for fall within the ideal range, thus proving the model’s fit for the scale’s factor analysis. Factor loading is significant at the level of p < .001 for all components, namely Time Spent, Compulsivity, Daily Life Interference, Craving, and Sleep Interference. The data for this study was collected through the administration of the Smartphone Addiction Inventory (SPAI) questionnaire to a sample of university students in Yemen. Conclusion: The study successfully identified the factor structure of the Smartphone Addiction Inventory (SPAI) in the Republic of Yemen. The results confirm the validity and fit of the five-factor model, with all factor loadings being statistically significant. This research contributes to the development of measurement tools for smartphone addiction and enhances the understanding of this phenomenon in the Yemeni context.
Presenters
Mohammed Al KhadherPhD Student, Measuring and Evaluating, Department of Psychology, King Saud University, Ar Riya, Saudi Arabia
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
KEYWORDS. MEASUREMENT, SMARTPHONE, CONFIRMATORY FACTOR
