Psychometric Properties of the Computer Self-Efficacy Scale for EXANI-II
The impact of Information and Communication Technologies on students’ academic performance has been studied from many perspectives, including computer self-efficacy scales (CSE), which have been used as predictors of students’ knowledge and real-world skills (Johnson, 2005; Marakas, Johnson and Clay...
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Online |
| Lenguaje: | spa |
| Publicado: |
REDIE es una publicación del Instituto de Investigación y Desarrollo Educativo (IIDE).
2014
|
| Acceso en línea: | https://redie.uabc.mx/index.php/redie/article/view/406 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | The impact of Information and Communication Technologies on students’ academic performance has been studied from many perspectives, including computer self-efficacy scales (CSE), which have been used as predictors of students’ knowledge and real-world skills (Johnson, 2005; Marakas, Johnson and Clay, 2007). The aim of this study was the analysis of the psychometric properties of a CSE scale and its association with performance on the National Entrance Examination for Higher Education (EXANI-II). Results on a national sample (n = 548756) suggest that the scale has good reliability (α=.92), acceptable fit indicators (RMSEA =.05, CFI = .96) and statistically significant association (r=.346) with performance on the EXANI-II. Findings confirm the relevance of CSE as a predictor of academic performance. |
|---|
@UABCInstitucional
UABC_Oficial
@UABC_Oficial
Tel: +52 686 551 82 00
cienciaabierta@uabc.edu.mx