Title | ||
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A review of using partial least square structural equation modeling in e-learning research. |
Abstract | ||
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Partial least squares structural equation modeling (PLS-SEM) has become a key multivariate statistical modeling technique that educational researchers frequently use. This paper reviews the uses of PLS-SEM in 16 major e-learning journals, and provides guidelines for improving the use of PLS-SEM as well as recommendations for future applications in e-learning research. A total of 53 articles using PLS-SEM published in January 2009-August 2019 are reviewed. We assess these published applications in terms of the following key criteria: reasons for using PLS-SEM, model characteristics, sample characteristics, model evaluations and reporting. Our results reveal that small sample size and nonnormal data are the first two major reasons for using PLS-SEM. Moreover, we have identified how to extend the applications of PLS-SEM in the e-learning research field. |
Year | DOI | Venue |
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2020 | 10.1111/bjet.12890 | BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY |
DocType | Volume | Issue |
Journal | 51.0 | 4.0 |
ISSN | Citations | PageRank |
0007-1013 | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hung-Ming Lin | 1 | 3 | 1.43 |
Ming-Hsien Lee | 2 | 12 | 1.74 |
Jyh-Chong Liang | 3 | 178 | 14.79 |
Hsin-Yi Chang | 4 | 153 | 12.67 |
Pinchi Huang | 5 | 0 | 0.34 |
Chin-Chung Tsai | 6 | 2269 | 164.88 |