Volume 6 Number 4 (Dec. 2016)
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IJEEEE 2016 Vol.6(4): 193-207 ISSN: 2010-3654
doi: 10.17706/ijeeee.2016.6.4.193-207

Measuring e-Learning Readiness Concept: Scale Development and Validation Using Structural Equation Modeling

Farid Alem, Michel Plaisent, Cataldo Zuccaro, Prosper Bernard
Abstract—The purpose of this paper is to develop and validate an instrument to measure the concept of e-readiness in the context of online learning environment. A rigorous method of scale development was undertaken to achieve this purpose: conceptual model development, item generation, content validation, exploratory study, and confirmatory study. The results of a study conducted in university, specializing in online education, suggest that the e-learning readiness (ELR) is a five-dimensional construct, namely Self Competence, Self-Directed Learning, Motivation, Financial, and Usefulness. Further psychometric tests show a parsimonious ELR measure with support for convergent, discriminant and predictive validities. In addition, these results show that the second-order factor model is the better fitting for the e-learning readiness construct. Based on the results, it can be concluded this instrument is useful and appropriate is assessing e-learning readiness construct. The theoretical and practical implications of the study as well as directions for future research are discussed.

Index Terms—E-learning readiness, reliability, scale development, second-order, validity.

Farid Alem is with Ahuntsic College of Montreal, Montreal, Canada (email: michel.plaisent@uqam.ca).
Michel Plaisent, Cataldo Zuccaro, Prosper Bernard are with University of Quebec in Montreal, Montreal, Canada.

Cite: Farid Alem, Michel Plaisent, Cataldo Zuccaro, Prosper Bernard, "Measuring e-Learning Readiness Concept: Scale Development and Validation Using Structural Equation Modeling," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 6, no. 4, pp. 193-207, 2016.

General Information

ISSN: 2010-3654
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Mr. Ron C. Wu
Abstracting/ Indexing: Engineering & Technology Digital Library, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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