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...

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Main Authors:	Kishabale, Bashir, Syed Hassan, Sharifah Sariah
Format:	Article
Language:	English
Published:	international islamic university uganda 2018
Subjects:	HA154 Statistical data HA29 Theory and method of social science statistics
Online Access:	http://irep.iium.edu.my/69333/ http://irep.iium.edu.my/69333/ http://irep.iium.edu.my/69333/1/bashi1.pdf

id	iium-69333
recordtype	eprints
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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	HA154 Statistical data HA29 Theory and method of social science statistics
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
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
format	Article
author	Kishabale, Bashir Syed Hassan, Sharifah Sariah
author_facet	Kishabale, Bashir Syed Hassan, Sharifah Sariah
author_sort	Kishabale, Bashir
title	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_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_sort	predictive study on instructional design quality, learner satisfaction and continuance learning intention with e-learning courses: data screening and preliminary analysis
publisher	international islamic university uganda
publishDate	2018
url	http://irep.iium.edu.my/69333/ http://irep.iium.edu.my/69333/ http://irep.iium.edu.my/69333/1/bashi1.pdf
first_indexed	2023-09-18T21:38:26Z
last_indexed	2023-09-18T21:38:26Z
_version_	1777412977362731008

A Predictive Study on Instructional Design Quality, Learner Satisfaction and Continuance Learning Intention with E-learning Courses: Data Screening and Preliminary Analysis

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