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Contemporary Reporting Practices Regarding Covariance-Based SEM with a Lens on EQS

Contemporary Reporting Practices Regarding Covariance-Based SEM with a Lens on EQS
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Author(s): Theresa M. Edgington (Baylor University, USA)and Peter M. Bentler (University of California – Los Angeles, USA)
Copyright: 2012
Pages: 27
Source title: Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems
Source Author(s)/Editor(s): Manuel Mora (Autonomous University of Aguascalientes (UAA), Mexico), Ovsei Gelman (Universidad Nacional Autónoma de México (UNAM), Mexico), Annette L. Steenkamp (Lawrence Technological University, USA)and Mahesh Raisinghani (University of Dallas, USA)
DOI: 10.4018/978-1-4666-0179-6.ch009

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Abstract

Structural Equation Modeling (SEM) continues to grow in use as an important research analysis tool in Information Systems research. While evaluating SEM results and interpreting them depends on a variety of reported details, SEM results continue to be reported in an inconsistent manner. Key reporting elements are discussed with regard to contemporary practices which can serve as a guide for future submissions and reviewing. This chapter contributes to the literature by providing an overview of important considerations in reporting results from covariance-based structural equation modeling execution and analysis. It incorporates models and other examples of EQS, one of the leading SEM software applications. While EQS is increasingly used by IS researchers, exemplars of its code and output have not been well published within the IS community, overly complicating the reviewing process for these papers.

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