A Predictive Study on Instructional Design Quality, Learner Satisfaction and Continuance Learning Intention with E-learning Courses: Data Screening and Preliminary Analysis
As E-learning initiatives are increasingly being deployed in educational and corporate training settings to revamp work-place productivity through life-long learning, concerns related to instructional design quality among stakeholders are equally growing. Thus, the overriding objective of the study...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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international islamic university uganda
2018
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| Online Access: | http://irep.iium.edu.my/69333/ http://irep.iium.edu.my/69333/1/bashi1.pdf |
| _version_ | 1848787099346534400 |
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| author | Kishabale, Bashir Syed Hassan, Sharifah Sariah |
| author_facet | Kishabale, Bashir Syed Hassan, Sharifah Sariah |
| author_sort | Kishabale, Bashir |
| building | IIUM Repository |
| collection | Online Access |
| description | As E-learning initiatives are increasingly being deployed in educational and corporate training settings to revamp work-place productivity through life-long learning, concerns related to instructional design quality among stakeholders are equally growing. Thus, the overriding objective of the study was to carry out initial screening and preliminary analysis of the data related to the causal influence of instructional design quality on learner satisfaction and continuance learning intention. Based on the survey design, the quantitative data were collected from 837 students across ten CISCO Networking academies in Uganda. Descriptive statistics, multiple regression and factor analysis techniques were employed to address the purpose of the study. Primary attention was paid to the assumptions of response rate, missing data, outliers, data normality, multicollinearity, homoscedasticity and common method bias. The results of the initial screening and preliminary data analysis revealed non violation of prerequisite multivariate assumptions. The findings have provided empirical evidence on the psychometric study of which the instrument can be further used for future research. The steps taken for the analysis have provided a benchmark of audit trail in the methodology and statistical analysis for the replication of the study |
| first_indexed | 2025-11-14T17:19:33Z |
| format | Article |
| id | iium-69333 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T17:19:33Z |
| publishDate | 2018 |
| publisher | international islamic university uganda |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-693332019-01-08T14:43:19Z http://irep.iium.edu.my/69333/ A Predictive Study on Instructional Design Quality, Learner Satisfaction and Continuance Learning Intention with E-learning Courses: Data Screening and Preliminary Analysis Kishabale, Bashir Syed Hassan, Sharifah Sariah HA154 Statistical data HA29 Theory and method of social science statistics As E-learning initiatives are increasingly being deployed in educational and corporate training settings to revamp work-place productivity through life-long learning, concerns related to instructional design quality among stakeholders are equally growing. Thus, the overriding objective of the study was to carry out initial screening and preliminary analysis of the data related to the causal influence of instructional design quality on learner satisfaction and continuance learning intention. Based on the survey design, the quantitative data were collected from 837 students across ten CISCO Networking academies in Uganda. Descriptive statistics, multiple regression and factor analysis techniques were employed to address the purpose of the study. Primary attention was paid to the assumptions of response rate, missing data, outliers, data normality, multicollinearity, homoscedasticity and common method bias. The results of the initial screening and preliminary data analysis revealed non violation of prerequisite multivariate assumptions. The findings have provided empirical evidence on the psychometric study of which the instrument can be further used for future research. The steps taken for the analysis have provided a benchmark of audit trail in the methodology and statistical analysis for the replication of the study international islamic university uganda 2018-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/69333/1/bashi1.pdf Kishabale, Bashir and Syed Hassan, Sharifah Sariah (2018) A Predictive Study on Instructional Design Quality, Learner Satisfaction and Continuance Learning Intention with E-learning Courses: Data Screening and Preliminary Analysis. Interdisciplinary Journal of Education, Vol. 1 (2). pp. 122-137. ISSN 2616-9096 http://journals.iuiu.ac.ug/index.php/ije/article/view/59 |
| spellingShingle | HA154 Statistical data HA29 Theory and method of social science statistics Kishabale, Bashir Syed Hassan, Sharifah Sariah A Predictive Study on Instructional Design Quality, Learner Satisfaction and Continuance Learning Intention with E-learning Courses: Data Screening and Preliminary Analysis |
| title | A Predictive Study on Instructional Design Quality, Learner Satisfaction and Continuance Learning Intention with E-learning Courses: Data Screening and Preliminary Analysis |
| title_full | A Predictive Study on Instructional Design Quality, Learner Satisfaction and Continuance Learning Intention with E-learning Courses: Data Screening and Preliminary Analysis |
| title_fullStr | A Predictive Study on Instructional Design Quality, Learner Satisfaction and Continuance Learning Intention with E-learning Courses: Data Screening and Preliminary Analysis |
| title_full_unstemmed | A Predictive Study on Instructional Design Quality, Learner Satisfaction and Continuance Learning Intention with E-learning Courses: Data Screening and Preliminary Analysis |
| title_short | A Predictive Study on Instructional Design Quality, Learner Satisfaction and Continuance Learning Intention with E-learning Courses: Data Screening and Preliminary Analysis |
| title_sort | predictive study on instructional design quality, learner satisfaction and continuance learning intention with e-learning courses: data screening and preliminary analysis |
| topic | HA154 Statistical data HA29 Theory and method of social science statistics |
| url | http://irep.iium.edu.my/69333/ http://irep.iium.edu.my/69333/ http://irep.iium.edu.my/69333/1/bashi1.pdf |