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An Introduction to Path Analysis Modeling Using LISREL

An Introduction to Path Analysis Modeling Using LISREL

Sean B. Eom
Copyright: © 2011 |Pages: 25
ISBN13: 9781609606152|ISBN10: 1609606159|EISBN13: 9781609606169
DOI: 10.4018/978-1-60960-615-2.ch004
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MLA

Eom, Sean B. "An Introduction to Path Analysis Modeling Using LISREL." Student Satisfaction and Learning Outcomes in E-Learning: An Introduction to Empirical Research, edited by Sean B. Eom and J. B. Arbaugh, IGI Global, 2011, pp. 57-81. https://doi.org/10.4018/978-1-60960-615-2.ch004

APA

Eom, S. B. (2011). An Introduction to Path Analysis Modeling Using LISREL. In S. Eom & J. Arbaugh (Eds.), Student Satisfaction and Learning Outcomes in E-Learning: An Introduction to Empirical Research (pp. 57-81). IGI Global. https://doi.org/10.4018/978-1-60960-615-2.ch004

Chicago

Eom, Sean B. "An Introduction to Path Analysis Modeling Using LISREL." In Student Satisfaction and Learning Outcomes in E-Learning: An Introduction to Empirical Research, edited by Sean B. Eom and J. B. Arbaugh, 57-81. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-615-2.ch004

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Abstract

Over the past decades, there has been a wide range of empirical research in the e-learning literature. The use of multivariate statistical tools has been a staple of the research stream throughout the decade. Path analysis modeling is part of four related multivariate statistical models, including regression, path analysis, confirmatory factor analysis, and structural equation models. This chapter focuses on path analysis modeling for beginners using LISREL 8.70. Several topics covered in this chapter include foundational concepts, assumptions, and steps of path analysis modeling. The major steps in path analysis modeling explained in this chapter consist of specification, identification, estimation, testing, and modification of models.

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