Comparative assessment of structural equation modeling and multiple regression research methodologies: E-commerce context

    Authors

    K. Nusair;N. Hua

    Comments

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    Abbreviated Journal Title

    Tourism Manage.

    Keywords

    Structural equation modeling (SEM); Multiple regression; Tourism; research; Online commitment; E-commerce research; INVESTMENT MODEL; COMMITMENT; SATISFACTION; TOURISTS; SCALE; TRUST; ERROR; USERS; Environmental Studies; Hospitality, Leisure, Sport & Tourism; Management

    Abstract

    Structural equation modeling (SEM) is a powerful statistical technique that establishes measurement models and structural models. On the other hand, multiple regression (MR) is considered a sophisticated and well-developed modeling approach to data analysis with a history of more than 100 years. This paper empirically compares SEM and MR by testing a model of commitment in a B-to-C e-commerce travel context, shedding light on applications of these two popular methods in tourism research. The findings indicate that only two significant relationships are justified by MR. In comparison, SEM results reveal more statistically significant relationships after the "best-fitting" measurement model with model D being the "best-fitting" model. The findings support some key empirical limitations of MR as a widely used statistical technique in the tourism research. Published by Elsevier Ltd.

    Journal Title

    Tourism Management

    Volume

    31

    Issue/Number

    3

    Publication Date

    1-1-2010

    Document Type

    Article

    Language

    English

    First Page

    314

    Last Page

    324

    WOS Identifier

    WOS:000274592000002

    ISSN

    0261-5177

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