The measurement and dimensionality of e-learning blog satisfaction: Two-stage development and validation

Yi Shun Wang, Ci Rong Li, Hsin Hui Lin, Ying Wei Shih

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Purpose - The purpose of this paper is to develop and validate a multi-dimensional instrument to measure e-learning blog satisfaction (ELBS). Design/methodology/approach-This study introduces and defines the construct of ELBS, provides an empirical validation of the construct and its underlying dimensionality, develops a generic ELBS instrument with desirable psychometric properties, and investigates the instrument’s theoretical and practical applications. Findings-After analyzing data from a calibration sample (n = 238) and a validation sample (n = 226), this study proposes a five-factor, 20-item ELBS instrument. Practical implications-This empirically validated instrument will be useful to researchers in terms of developing and testing blog-based learning theories, as well as to educators in terms of understanding students’ ELBS and promoting the use of blog-based learning systems. Originality/value-This study is a pioneering effort to develop and validate a multi-dimensional instrument to measure ELBS.

Original languageEnglish
Pages (from-to)546-565
Number of pages20
JournalInternet Research
Volume24
Issue number5
DOIs
Publication statusPublished - 2014 Sep 30

Fingerprint

Blogs
weblog
electronic learning
Electronic learning
Dimensionality
learning theory
psychometrics
Learning systems
Calibration
educator
Students
methodology
Testing

All Science Journal Classification (ASJC) codes

  • Communication
  • Sociology and Political Science
  • Economics and Econometrics

Cite this

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The measurement and dimensionality of e-learning blog satisfaction : Two-stage development and validation. / Wang, Yi Shun; Li, Ci Rong; Lin, Hsin Hui; Shih, Ying Wei.

In: Internet Research, Vol. 24, No. 5, 30.09.2014, p. 546-565.

Research output: Contribution to journalArticle

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AU - Wang, Yi Shun

AU - Li, Ci Rong

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AU - Shih, Ying Wei

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