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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

Theresa M. Edgington, Peter M. Bentler
Copyright: © 2012 |Pages: 27
ISBN13: 9781466601796|ISBN10: 1466601795|EISBN13: 9781466601802
DOI: 10.4018/978-1-4666-0179-6.ch009
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MLA

Edgington, Theresa M., and Peter M. Bentler. "Contemporary Reporting Practices Regarding Covariance-Based SEM with a Lens on EQS." Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems, edited by Manuel Mora, et al., IGI Global, 2012, pp. 166-192. https://doi.org/10.4018/978-1-4666-0179-6.ch009

APA

Edgington, T. M. & Bentler, P. M. (2012). Contemporary Reporting Practices Regarding Covariance-Based SEM with a Lens on EQS. In M. Mora, O. Gelman, A. Steenkamp, & M. Raisinghani (Eds.), Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems (pp. 166-192). IGI Global. https://doi.org/10.4018/978-1-4666-0179-6.ch009

Chicago

Edgington, Theresa M., and Peter M. Bentler. "Contemporary Reporting Practices Regarding Covariance-Based SEM with a Lens on EQS." In Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems, edited by Manuel Mora, et al., 166-192. Hershey, PA: IGI Global, 2012. https://doi.org/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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