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An Introduction to Path Analysis Modeling Using LISREL

An Introduction to Path Analysis Modeling Using LISREL
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Author(s): Sean B. Eom (Southeast Missouri State University, USA)
Copyright: 2011
Pages: 25
Source title: Student Satisfaction and Learning Outcomes in E-Learning: An Introduction to Empirical Research
Source Author(s)/Editor(s): Sean B. Eom (Southeast Missouri State University, USA)and J. B. Arbaugh (University of Wisconsin Oshkosh, USA)
DOI: 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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