Applying partial least squares structural equation modelling (PLS-SEM) on factors affecting language students’ desire to learn
This study examines factors affecting students’ desire to learn the English language using Partial Least Squares Structural Equation Modelling (PLS-SEM). This is to explain and predict students’ desire to learn. For this purpose, a questionnaire survey was conducted at two public universities in M...
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my.iium.irep.1001982022-09-26T06:13:54Z http://irep.iium.edu.my/100198/ Applying partial least squares structural equation modelling (PLS-SEM) on factors affecting language students’ desire to learn Mat Daud, Nor Shidrah Mat Daud, Nuraihan Abdul Latif, Samshul Amry Simpson, Jantima L Education (General) LB2300 Higher Education PE English This study examines factors affecting students’ desire to learn the English language using Partial Least Squares Structural Equation Modelling (PLS-SEM). This is to explain and predict students’ desire to learn. For this purpose, a questionnaire survey was conducted at two public universities in Malaysia and one in Thailand. The questionnaires were developed based on Gardner’s (2004) Attitude/Motivation Test Battery. Only four subscales of the instrument were chosen for this study. These were: desire to learn, instrumental motivation, foreign language anxiety and attitude towards foreign language. It was found that although Attitude toward Foreign Language, Foreign Language Anxiety and Instrumental Motivation have small predictive relevance on Desire to Learn the English language, they are crucial in explaining the students’ desire to learn the language. The study indicates that the model is sufficiently reliable and consistent. When the groups were compared, the relationship between Instrumental Motivation and Desire to Learn was higher between International Islamic University Malaysia (IIUM) and Universiti Teknologi MARA (UiTM) students but the difference is not significant where IIUM and Naresuan University (NU) students were concerned. This study serves to model a quantitative empirical research method to explain and predict factors affecting desire to learn. 2022-09-24 Article PeerReviewed application/pdf en http://irep.iium.edu.my/100198/7/100198_Applying%20partial%20least%20squares%20structural%20equation%20modelling.pdf Mat Daud, Nor Shidrah and Mat Daud, Nuraihan and Abdul Latif, Samshul Amry and Simpson, Jantima (2022) Applying partial least squares structural equation modelling (PLS-SEM) on factors affecting language students’ desire to learn. Arab World English Journal (AWEJ), 13 (3). pp. 254-271. ISSN 2229-9327 https://awej.org/applying-partial-least-squares-structural-equation-modelling-pls-sem-on-factors-affecting-language-students-desire-to-learn/ 10.24093/awej/vol13no3.16 |
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L Education (General) LB2300 Higher Education PE English Mat Daud, Nor Shidrah Mat Daud, Nuraihan Abdul Latif, Samshul Amry Simpson, Jantima Applying partial least squares structural equation modelling (PLS-SEM) on factors affecting language students’ desire to learn |
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This study examines factors affecting students’ desire to learn the English language using Partial Least
Squares Structural Equation Modelling (PLS-SEM). This is to explain and predict students’ desire to learn.
For this purpose, a questionnaire survey was conducted at two public universities in Malaysia and one in
Thailand. The questionnaires were developed based on Gardner’s (2004) Attitude/Motivation Test Battery.
Only four subscales of the instrument were chosen for this study. These were: desire to learn, instrumental
motivation, foreign language anxiety and attitude towards foreign language. It was found that although
Attitude toward Foreign Language, Foreign Language Anxiety and Instrumental Motivation have small
predictive relevance on Desire to Learn the English language, they are crucial in explaining the students’
desire to learn the language. The study indicates that the model is sufficiently reliable and consistent. When
the groups were compared, the relationship between Instrumental Motivation and Desire to Learn was
higher between International Islamic University Malaysia (IIUM) and Universiti Teknologi MARA
(UiTM) students but the difference is not significant where IIUM and Naresuan University (NU) students
were concerned. This study serves to model a quantitative empirical research method to explain and predict
factors affecting desire to learn. |
format |
Article |
author |
Mat Daud, Nor Shidrah Mat Daud, Nuraihan Abdul Latif, Samshul Amry Simpson, Jantima |
author_facet |
Mat Daud, Nor Shidrah Mat Daud, Nuraihan Abdul Latif, Samshul Amry Simpson, Jantima |
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Mat Daud, Nor Shidrah |
title |
Applying partial least squares structural equation modelling (PLS-SEM) on factors affecting language students’ desire to learn |
title_short |
Applying partial least squares structural equation modelling (PLS-SEM) on factors affecting language students’ desire to learn |
title_full |
Applying partial least squares structural equation modelling (PLS-SEM) on factors affecting language students’ desire to learn |
title_fullStr |
Applying partial least squares structural equation modelling (PLS-SEM) on factors affecting language students’ desire to learn |
title_full_unstemmed |
Applying partial least squares structural equation modelling (PLS-SEM) on factors affecting language students’ desire to learn |
title_sort |
applying partial least squares structural equation modelling (pls-sem) on factors affecting language students’ desire to learn |
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2022 |
url |
http://irep.iium.edu.my/100198/7/100198_Applying%20partial%20least%20squares%20structural%20equation%20modelling.pdf http://irep.iium.edu.my/100198/ https://awej.org/applying-partial-least-squares-structural-equation-modelling-pls-sem-on-factors-affecting-language-students-desire-to-learn/ |
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