The dimensional validity and reliability of the Italian smartphone addiction inventory of Yemeni university students
The increasing usage of smartphones globally necessitates the creation of reliable and valid scales to evaluate their psychological effects, particularly within academic settings such as universities. The current study aimed to identify the factorial structure of the Smartphone Addiction Inventory (...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-10-01
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| Series: | Acta Psychologica |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0001691824003718 |
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| Summary: | The increasing usage of smartphones globally necessitates the creation of reliable and valid scales to evaluate their psychological effects, particularly within academic settings such as universities. The current study aimed to identify the factorial structure of the Smartphone Addiction Inventory (SPAI) in the Republic of Yemen. The sample consisted of 1920 university students (1136 males and 784 females). The data was analyzed with the AMOS V25 statistical program. The results of the factor analysis supported the goodness of fit of the five-factor model to the data with excellent indices: RMSEA = 0.052, CFI = 0.910, GFI = 0.931, AGFI = 0.915, TLI = 0.907, NFI = 0.915, RFI = 0.916, and RMR = 0.032, all of which are within the ideal range to support the goodness of fit of the model to the factorial structure of the inventory, as the values of the explained variances ranged between 0.740 and 0.834., with indices of reliability in measurement. The results of the confirmatory factor analysis revealed that four items loaded on the Time Spent factor, four items on the Compulsivity factor, eight items on the Daily Life Interference factor, five items on the Craving factor, and three items on the Sleep Interference factor, with all loadings being statistically significant (>0.001). Based on these findings, research direction and recommendations were provided. |
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| ISSN: | 0001-6918 |