Structural equation modelling using AMOS: confirmatory factor analysis for taskload of special education integration program teachers
This study explores the factors leading to the onset of task load among teachers of Special Education Integration Program. As we know, task load is an important issue among special education teachers in general and teachers of Special Education Integration Program in particular. This issue has been...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Horizon Research Publishing
2020
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/5055/ http://eprints.uthm.edu.my/5055/1/AJ%202020%20%2870%29.pdf |
| Summary: | This study explores the factors leading to the onset of task load among teachers of Special Education Integration Program. As we know, task load is an important issue among special education teachers in general and teachers of Special Education Integration Program in particular. This issue has been going on for a long time. Some studies have found that there are a number of factors that influence the task load of teachers of Special Education Integration Program, including leadership issues at school, working conditions, work intensity and also resources or facilities. In this study, a fully quantitative approach is used to determine factors in the task load of teachers of Special Education Integration Program. The questionnaire was distributed online using the Google form platform to randomly collect data from 400 respondents across Malaysia. The data obtained were then analysed using Structural Equation Modelling (SEM) using AMOS 21 application. Confirmatory Factor Analysis was performed to obtain factor loading for each element obtained namely work type, work environment and time. The analysis results show that the two factors reflect the appropriate fit and meet all the criteria for validation. While the work type factor does not show compatibility. There have been several domestic and overseas studies examining the factors of special education teacher loading, but the application of the SEM analysis approach using AMOS is still underdeveloped. Therefore, the findings of this study can further confirm previous findings on this issue. |
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