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Lin, Hung-Ming; Lee, Min-Hsien; Liang, Jyh-Chong; Chang, Hsin-Yi; Huang, Pinchi; Tsai, Chin-Chung – British Journal of Educational Technology, 2020
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…
Descriptors: Least Squares Statistics, Structural Equation Models, Electronic Learning, Educational Research
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Joo, Soohyung; Kipp, Margaret E. I. – Information Research: An International Electronic Journal, 2015
Introduction: This study examines the structure of Web space in the field of library and information science using multivariate analysis of social tags from the Website, Delicious.com. A few studies have examined mathematical modelling of tags, mainly examining tagging in terms of tripartite graphs, pattern tracing and descriptive statistics. This…
Descriptors: Web Sites, Library Science, Information Science, Multivariate Analysis
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Karakaya-Ozyer, Kubra; Aksu-Dunya, Beyza – International Journal of Research in Education and Science, 2018
Structural equation modeling (SEM) is one of the most popular multivariate statistical techniques in Turkish educational research. This study elaborates the SEM procedures employed by 75 educational research articles which were published from 2010 to 2015 in Turkey. After documenting and coding 75 academic papers, categorical frequencies and…
Descriptors: Literature Reviews, Structural Equation Models, Educational Technology, Multivariate Analysis
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Arbaugh, J. B.; Hwang, Alvin – Journal of Management Education, 2013
Seeking to assess the analytical rigor of empirical research in management education, this article reviews the use of multivariate statistical techniques in 85 studies of online and blended management education over the past decade and compares them with prescriptions offered by both the organization studies and educational research communities.…
Descriptors: Multivariate Analysis, Management Development, Business Administration Education, Blended Learning
Newman, Isadore; Fraas, John W.; Newman, Carole – 2002
This paper presents a discussion of various statistical concepts and techniques in light of two propositions. The first is that researchers need to select analytical techniques that prevent them from committing Type VI errors, which are inconsistencies between the research question and the statistical analysis. The second is that many statistical…
Descriptors: Multivariate Analysis, Research Design, Research Methodology, Statistical Analysis
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Hughes, Honore M.; Humphrey, Natalie N.; Weaver, Terri L. – Journal of Interpersonal Violence, 2005
The most important things learned about violence and trauma in the past 20 years are that interpersonal violence is prevalent, with different forms co-occurring, and that victims' reactions are complex. Researchers are called to consider models that include the ecological context within which victims experience violence and trauma to gain a better…
Descriptors: Multivariate Analysis, Data Analysis, Family Violence, Structural Equation Models
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Bachman, Lyle F. – Annual Review of Applied Linguistics, 1988
Discusses three research/testing interfaces in second-language (L2) testing: the covariance structure analysis of ex post facto correlational data, the qualitative investigation of test-taking processes, and the development of L2 assessment instruments based on developmental sequences in L2 acquisition. (61 references) (GLR)
Descriptors: Language Proficiency, Language Research, Language Tests, Multivariate Analysis