Applications of structural equation modeling in marketing and consumer research: A review

Abstract This paper reviews prior applications of structural equation modeling in four major marketing journals (the Journal of Marketing, Journal of Marketing Research, International Journal of Research in Marketing, and the Journal of Consumer Research) between 1977 and 1994. After documenting and characterizing the number of applications over time, we discuss important methodological issues related to structural equation modeling and assess the quality of previous applications in terms of three aspects: issues related to the initial specification of theoretical models of interest; issues related to data screening prior to model estimation and testing; and issues related to the estimation and testing of theoretical models on empirical data. On the basis of our findings, we identify problem areas and suggest avenues for improvement.

[1]  Kenneth A. Bollen,et al.  OBSERVATIONAL RESIDUALS IN FACTOR ANALYSIS AND STRUCTURAL EQUATION MODELS , 1991 .

[2]  John A. Martin Structural equation modeling: A guide for the perplexed. , 1987 .

[3]  D. Freedman Statistical models and shoe leather , 1989 .

[4]  R. Bagozzi,et al.  A general approach to representing multifaceted personality constructs: Application to state self‐esteem , 1994 .

[5]  William R. Dillon,et al.  Building Consumer Behavior Models With LISREL: Issues in Applications , 1986 .

[6]  I. Stelzl Changing a Causal Hypothesis without Changing the Fit: some Rules for Generating Equivalent Path Models. , 1986, Multivariate behavioral research.

[7]  David W. Gerbing,et al.  An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment , 1988 .

[8]  S. Breckler Applications of covariance structure modeling in psychology: cause for concern? , 1990, Psychological bulletin.

[9]  Richard P. Bagozzi,et al.  On the Use of Structural Equation Models in Experimental Designs , 1989 .

[10]  O. D. Duncan,et al.  Introduction to Structural Equation Models. , 1977 .

[11]  M. Browne Asymptotically distribution-free methods for the analysis of covariance structures. , 1984, The British journal of mathematical and statistical psychology.

[12]  R. P. McDonald,et al.  Choosing a multivariate model: Noncentrality and goodness of fit. , 1990 .

[13]  Robert C. MacCallum,et al.  SPECIFICATION SEARCHES IN COVARIANCE STRUCTURE MODELING , 1986 .

[14]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[15]  James C. Anderson,et al.  Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models , 1992 .

[16]  Richard P. Bagozzi,et al.  Assessing Construct Validity in Organizational Research , 1991 .

[17]  R. Bagozzi A Prospectus for Theory Construction in Marketing , 1984 .

[18]  N Cliff,et al.  Some Cautions Concerning The Application Of Causal Modeling Methods. , 1983, Multivariate behavioral research.

[19]  Stephen W. Brown,et al.  Conceptual and theoretical developments in marketing , 1979 .

[20]  R. Bagozzi,et al.  Multitrait-Multimethod Matrices in Consumer Research , 1991 .

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

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

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

[24]  Claes Fornell,et al.  Issues in the Application of Covariance Structure Analysis: A Comment , 1983 .

[25]  David Brinberg,et al.  Perspectives on methodology in consumer research , 1986 .

[26]  J. H. Steiger Structural Model Evaluation and Modification: An Interval Estimation Approach. , 1990, Multivariate behavioral research.

[27]  L. Tucker,et al.  A reliability coefficient for maximum likelihood factor analysis , 1973 .

[28]  John Hattie,et al.  Methodology Review: Assessing Unidimensionality of Tests and ltenls , 1985 .

[29]  P. Bentler MULTIVARIATE ANALYSIS WITH LATENT VARIABLES: CAUSAL MODELING , 1980 .

[30]  F. Bass A new product growth model for consumer durables , 1976 .

[31]  T. C. Luijben,et al.  Equivalent models in covariance structure analysis , 1991 .

[32]  M. Browne,et al.  Single Sample Cross-Validation Indices for Covariance Structures. , 1989, Multivariate behavioral research.

[33]  James C. Anderson,et al.  The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis , 1984 .

[34]  Subhash Sharma,et al.  Interpreting LISREL Estimates of Explained Variance in Nonrecursive Structural Equation Models , 1986 .

[35]  J. Schaubroeck Investigating reciprocal causation in organizational behavior research , 1990 .

[36]  William R. Darden,et al.  Causal Models in Marketing , 1980 .

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

[38]  Christian Homburg,et al.  Covariance structure analysis via specification searches , 1992 .

[39]  D. A. Kenny,et al.  Correlation and causality , 1979 .

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

[41]  Jan-Benedict E. M. Steenkamp,et al.  The use of LISREL in validating marketing constructs. , 1991 .

[42]  Kenneth A. Bollen,et al.  Structural Equations with Latent Variables , 1989 .

[43]  R. P. McDonald,et al.  An index of goodness-of-fit based on noncentrality , 1989 .

[44]  M. Browne,et al.  Cross-Validation Of Covariance Structures. , 1983, Multivariate behavioral research.

[45]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[46]  R. Bagozzi Principles of marketing research , 1994 .

[47]  D. Freedman As Others See Us: A Case Study in Path Analysis , 1987 .

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

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

[50]  Robert Cudeck,et al.  Analysis of correlation matrices using covariance structure models. , 1989 .

[51]  D. Kaplan Evaluating and Modifying Covariance Structure Models: A Review and Recommendation. , 1990, Multivariate behavioral research.

[52]  Christian Homburg,et al.  Cross-Validation and Information Criteria in Causal Modeling , 1991 .

[53]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory: , 1982 .

[54]  R. P. McDonald,et al.  Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size , 1988 .

[55]  W. R. Dillon,et al.  Some Results on the Behavior of Alternate Covariance Structure Estimation Procedures in the Presence of Non-Normal Data , 1989 .

[56]  Bruce J. Biddle,et al.  Causality, confirmation, credulity, and structural equation modeling. , 1987 .

[57]  S. Mulaik,et al.  EVALUATION OF GOODNESS-OF-FIT INDICES FOR STRUCTURAL EQUATION MODELS , 1989 .

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

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

[60]  Douglas M. Hawkins Topics in Applied Multivariate Analysis , 1982 .

[61]  Duane F. Alwin,et al.  MEASUREMENT MODELS FOR RESPONSE ERRORS IN SURVEYS: ISSUES AND APPLICATIONS , 1980 .