Structural Equation Modeling (SEM) Using PLS-Graph Software: A Tool for Quantitative Researchers Analyzing Path-Based Models
نویسندگان
چکیده
This proposed tutorial, relating to the topic of quantitative research methods, will demonstrate how to use the basic and more advanced features of PLS-Graph software in the analysis of path-based Structural Equation Models (SEM) using latent variable constructs. Instructions for obtaining the PLS-Graph software (beta version 3 build 1126) will be provided to tutorial participants. PLS-Graph makes latent variable path modeling, using the Partial Least Squares (PLS) approach, accessible and convenient to all interested parties. The utility of the PLS method has been documented elsewhere (Chin, 1998; Chin & Newsted, 1999; Falk and Miller, 1992) as possibly more appropriate for a large percentage of the studies and data sets typically used among researchers. As opposed to covariance-based approaches (exemplified by software such as LISREL or EQS), PLS places much less restrictions on matters such as sample size and data distributions. In order to increase the usability and accessibility of the PLS approach, PLS-Graph was developed as a self contained Graphical User Interface (GUI) based software which creates input decks compatible with the existing PLSX program developed by Lohmoller. PLS-Graph allows the user to focus more on the appropriateness of the model and data set rather than on how to get the program to run. Research articles based on data analyses conducted using PLS-Graph have been published in our leading journals, including MIS Quarterly, Information Systems Research, Decision Sciences, Journal of Management Information Systems, among others. The tutorial will demonstrate how to assess the measurement and structural model characteristics of path-based nomological network SEM quantitative models. Techniques to assess latent model construct reliabilities, and convergent and discriminant validities will be covered. The tutorial will be written as a teaching aid for faculty, doctoral students, and for other researchers who may currently use PLS, or who may be interested in learning PLS. An annotated example with data will be provided as an additional tool to assist the tutorial participant. Tentative Tutorial Outline:
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