Use of Structural Equation Modeling in Tourism Research

This study reviewed use of covariance-based structural equation modeling (SEM) in 209 articles published in nine tourism journals between 2000 and 2011. Time-series analysis suggested that the number of SEM publications is explained by linear and quadratic time effects. Results indicated that although SEM practices have improved in some areas, tourism researchers do not always engage in the recommended best practices. Problematic areas were related to testing of alternative a priori models, reporting of multivariate normality, estimating effect size, and assessing reliability and validity. Some of the recommended fit indices were also underutilized. The review also found few differences in SEM practices between top-tier journals and other publications in the tourism field. On the basis of these results, suggestions to improve use of SEM in tourism studies are discussed in the light of recent developments in this technique.

[1]  David J. Ketchen,et al.  AN ASSESSMENT OF THE USE OF STRUCTURAL EQUATION MODELING IN STRATEGIC MANAGEMENT RESEARCH , 2004 .

[2]  M. C. Hill,et al.  Evaluating Model Fit , 2005 .

[3]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[4]  Moritz Heene,et al.  Masking misfit in confirmatory factor analysis by increasing unique variances: a cautionary note on the usefulness of cutoff values of fit indices. , 2011, Psychological methods.

[5]  P. Barrett.  Structural equation modelling : Adjudging model fit , 2007 .

[6]  Timothy R. Konold,et al.  Effects of Latent Variable Nonnormality and Model Misspecification on Testing Structural Equation Modeling Interactions , 2011 .

[7]  D. Gursoy,et al.  Public trust in tourism institutions. , 2012 .

[8]  Haywantee Ramkissoon,et al.  Power, trust, social exchange and community support , 2012 .

[9]  R. MacCallum,et al.  Model modifications in covariance structure analysis: the problem of capitalization on chance. , 1992, Psychological bulletin.

[10]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[11]  Jason W. Osborne,et al.  Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. , 2005 .

[12]  Ehri Ryu,et al.  Effects of skewness and kurtosis on normal-theory based maximum likelihood test statistic in multilevel structural equation modeling , 2011, Behavior research methods.

[13]  Y Kano,et al.  Can test statistics in covariance structure analysis be trusted? , 1992, Psychological bulletin.

[14]  Haywantee Ramkissoon,et al.  Developing a community support model for tourism , 2011 .

[15]  Rachna Shah,et al.  Use of structural equation modeling in operations management research: Looking back and forward ☆ , 2006 .

[16]  Fritz Drasgow,et al.  Assessing Goodness of Fit: Simple Rules of Thumb Simply Do Not Work , 2011 .

[17]  Thomas K. Burdenski,et al.  Evaluating Univariate , Bivariate , and Multivariate Normality Using Graphical and Statistical Procedures , 2007 .

[18]  C. Judd,et al.  When moderation is mediated and mediation is moderated. , 2005, Journal of personality and social psychology.

[19]  Yvette Reisinger,et al.  Structural Equation Modeling , 2007 .

[20]  A. Tomarken,et al.  Potential problems with "well fitting" models. , 2003, Journal of abnormal psychology.

[21]  James L. Arbuckle,et al.  Amos User''s Guide , 1995 .

[22]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[23]  A. Panter,et al.  Writing about structural equation models. , 1995 .

[24]  Yvette Reisinger,et al.  Structural equation modeling with Lisrel: application in tourism , 1999 .

[25]  Amery D. Wu,et al.  Understanding and Using Mediators and Moderators , 2008 .

[26]  Peter M. Bentler,et al.  EQS : structural equations program manual , 1989 .

[27]  R. L. Holbert,et al.  Structural Equation Modeling in the Communication Sciences, 1995–2000 , 2002 .

[28]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[29]  R. Fildes.  Journal of the Royal Statistical Society (B): Gary K. Grunwald, Adrian E. Raftery and Peter Guttorp, 1993, “Time series of continuous proportions”, 55, 103–116.☆ , 1993 .

[30]  S. Crockett,et al.  A Five-Step Guide to Conducting SEM Analysis in Counseling Research , 2012 .

[31]  J. S. Long,et al.  Testing Structural Equation Models , 1993 .

[32]  R. Fisher.  019: On the Interpretation of x2 from Contingency Tables, and the Calculation of P. , 1922 .

[33]  Gordon W. Cheung,et al.  Estimating and Comparing Specific Mediation Effects in Complex Latent Variable Models , 2012 .

[34]  R. Fassinger.  Use of Structural Equation Modeling in Counseling Psychology Research. , 1987 .

[35]  Larry J. Williams,et al.  The Myth of Global Fit Indices and Alternatives for Assessing Latent Variable Relations , 2011 .

[36]  C. Stein,et al.  Structural equation modeling. , 2012, Methods in molecular biology.

[37]  Marko Sarstedt,et al.  An assessment of the use of partial least squares structural equation modeling in marketing research , 2012 .

[38]  A. Boomsma.  Reporting Analyses of Covariance Structures , 2000 .

[39]  Marko Sarstedt,et al.  The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications , 2012 .

[40]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[41]  T. Lam,et al.  Rating tourism and hospitality journals , 2006 .

[42]  P. Bentler,et al.  Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .

[43]  Alfonso Vargas-Sánchez,et al.  Explaining residents’ attitudes to tourism , 2011 .

[44]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[45]  Karl G. Jöreskog,et al.  Lisrel 8: Structural Equation Modeling With the Simplis Command Language , 1993 .

[46]  E. Ziegel,et al.  Basic Principles of Structural Equation Modelling , 1996 .

[47]  R. Hoyle.  The structural equation modeling approach: Basic concepts and fundamental issues. , 1995 .

[48]  S. West,et al.  A comparison of methods to test mediation and other intervening variable effects. , 2002, Psychological methods.

[49]  Christian Homburg,et al.  Applications of structural equation modeling in marketing and consumer research: A review , 1996 .

[50]  Barbara M. Byrne,et al.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[51]  Haywantee Ramkissoon,et al.  Structural equation modelling and regression analysis in tourism research , 2012 .

[52]  R. Fisher.  On the Interpretation of χ2 from Contingency Tables, and the Calculation of P , 2010 .

[53]  D. Wegener,et al.  The problem of equivalent models in applications of covariance structure analysis. , 1993, Psychological bulletin.

[54]  Rebecca Weston,et al.  A Brief Guide to Structural Equation Modeling , 2006 .

[55]  A. Satorra,et al.  Scaled test statistics and robust standard errors for non-normal data in covariance structure analysis: a Monte Carlo study. , 1991, The British journal of mathematical and statistical psychology.

[56]  Amaury Nora,et al.  Path Analysis: An Introduction and Analysis of a Decade of Research , 2004 .

[57]  S. Maxwell,et al.  Implications of Recent Developments in Structural Equation Modeling for Counseling Psychology , 1999 .

[58]  James C. Anderson,et al.  The Effects of Sampling Error and Model Characteristics on Parameter Estimation for Maximum Likelihood Confirmatory Factor Analysis. , 1985, Multivariate behavioral research.

[59]  Patricia L. Mokhtarian,et al.  The impact of non-normality, sample size and estimation technique on goodness-of-fit measures in structural equation modeling: evidence from ten empirical models of travel behavior , 2010 .

[60]  Dianne M. Finkelstein,et al.  A Beginner's Guide to Structural Equation Modeling , 2005, Technometrics.

[61]  R. MacCallum,et al.  Applications of structural equation modeling in psychological research. , 2000, Annual review of psychology.

[62]  R. Burt.  Interpretational Confounding of Unobserved Variables in Structural Equation Models , 1976 .

[63]  R. MacCallum,et al.  Power analysis and determination of sample size for covariance structure modeling. , 1996 .

[64]  Peter M. Bentler,et al.  Practical Issues in Structural Modeling , 1987 .

[65]  Dawn Iacobucci,et al.  Structural Equations Modeling: Fit Indices, Sample Size, and Advanced Topics , 2010 .

[66]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[67]  Richard P. Bagozzi,et al.  Specification, evaluation, and interpretation of structural equation models , 2012 .

[68]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[69]  Ke-Hai Yuan,et al.  Bias and Efficiency in Structural Equation Modeling: Maximum Likelihood Versus Robust Methods , 2011, Multivariate behavioral research.

[70]  R. P. McDonald,et al.  Principles and practice in reporting structural equation analyses. , 2002, Psychological methods.