Armstrong, J. and S. Overton (1978), "Estimating Non-response Bias in Mail Surveys," Journal of Marketing Research, 14, 396-402.
Baron, R. and Kenny, D. (1986), "The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations." Journal of Personality and Social Psychology, 51, 1173-1182.
Bottomley, P. and P. Green (2000), “Testing the Reliability of Weight Elicitation Methods: Direct Rating Versus Point Allocation,” Journal of Marketing Research, 37 (November), 508-513.
Churchill, G. (1979), “A Paradigm for Developing Better Measures of Marketing Constructs,” Journal of Marketing Research, 16 (February), 64-73.
Cook, T. and D. Campbell (1976), “The Design and Conduct of Quasi-Experiments in Field Settings,” in Handbook of Industrial and Organizational Psychology, M. Dunnette ed., (Chicago, IL: Rand McNally).
Fern, E. and K. Monroe (1996), “Effect-Size Estimates: Issues and Problems in Interpretation,” Journal of Consumer Research, 23 (September), 89-105.
Hutchinson, W., W. Kamakura, and J. Lynch (2000), "Unobserved Heterogeneity as an Alternative Explanation for "Reversal" Effects in Behavioral Research," Journal of Consumer Research, 27,2 (December), 324-345.
Perdue, B. and J. Summers (1986), “Checking the Success of Manipulations in Marketing Experiments,” Journal of Marketing Research, 23 (November), 317-326.
Peter, J. (1979), “Reliability: A Review of Psychometric Basics and Recent Marketing Practices,” Journal of Marketing Research, 16 (May), 6-24.
Peter, J. (1981), “Construct Validity: A Review of Basic Issues and Marketing Practices,” Journal of Marketing Research,18 (May), 133-145.
Peter, J., G. Churchill, and T. Brown (1993), “Caution in the Use of Difference Scores in Consumer Research,” Journal of Consumer Research, 19 (March), 655-662.
Sawyer, A., J. Lynch, and D. Brinberg (1995), “A Bayesian Analysis of the Information Value of Manipulation and Confounding Checks in Theory Tests,” Journal of Consumer Research, 21 (March), 581-596.
Bollen, K. (1989), Structural Equations with Latent Variables, (New York, NY: Wiley).
Joreskog, K., and D. Sorbom (1995), LISREL 8 Users Reference Guide, (Chicago, IL: SSI, Inc).
Jaccard, J. and C. Wan (1996), LISREL Approaches to Interaction Effects in Multiple Regression, Sage University Papers series on Quantitative Applications in the Social Sciences, 07-114. Thousand Oaks, CA: Sage.
Internet Sites
Rigdon, E. and others (1996), The SEMNET FAQ, a World Wide Web site at address http://www.gsu.edu/~mkteer/semfaq.html
E-mail discussion group SEMNET at http://www.gsu.edu/~mkteer/SEMNET.html
Anderson, J. and D. Gerbing (1988), “Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach,” Psychological Bulletin, 103 (3), 411-23.
Browne, M. and R. Cudeck (1992), “Alternate Ways of Assessing Model Fit,” Sociological Methods and Research, 21 (2) 230-58.
Bullock, Harlow, and Mulaik (1994), “Causation Issues in Structural Equation Modeling Research,” Structural Equation Modeling: A Multidisciplinary Journal, 1 (August), 253-267.
Cliff, N. (1983), “Some Cautions Concerning the Application of Causal Modeling Methods,” Multivariate Behavioral Research, 18 (January), 115-26.
Fergusson and Horwood (1984), “Life Events and Depression in Women: A Structural Equation Model,” Psychological Medicine, 14, 881-89.
Fornell, C. and D. Larcker (1981), “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,” Journal of Marketing Research, 18 (February), 39-50.
Gerbing, D. and J. Anderson (1988), "An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment," Journal of Marketing Research, 25 (May), 186-92.
Joreskog, K. (2001), “Basic Ideas of Factor and Component Analysis,” (working paper).
Rigdon, E. (1994), “Demonstrating the Effects of Unmodeled Random Measurement Error,” Structural Equation Modeling, 1, 375-80.
Rigdon, E. (1994), “Calculating Degrees of Freedom for a Structural Equation Model,” Structural Equation Modeling, 1, 274-78.
Rigdon, E. (1995), “A Necessary and Sufficient Identification Rule for Structural Models Estimated in Practice,” Multivariate Behavioral Research.
Rigdon, E. (1996), “CFI vs. RMSEA: A Comparison of Two Fit Indices for Structural Equation Modeling,” Structural Equation Modeling, 3 (4), 369-79.
Rigdon, E. (1997), “Identificatin of Structural Equation Models with Latent Variables: A Review of Contributions by Bekker, Merckens and Wansbeek,” Structural Equation Modeling, 4, (1), 80-85.
Rigdon, E. (1998), “Structural Equation Modeling,” in Modern Methods for Business Research, Marcoulides ed., (Mahwah, NJ: LEA).
Rindskopf, D. and T. Rose (1988), “Some Theory and Applications of Confirmatory Second-Order Factor Analysis,” Multivariate Behavioral Research, 23 (January), 51-67.
Stelzl (1986), “Changing a Causal Hypothesis Without Changing the Fit: Some Rules for Generating Equivalent Path Models,” Multivariate Behavioral Research, 21 (July), 309-31. (Note, Stelzl uses lines between constructs to indicate the absence of a path between them.)
West, Finch, and Curran (1995), “Structural Equation Models with Nonnormal Variables: Problems and Remedies,” in Rick H. Hoyle (ed.), Structural Equation Modeling: Concepts, Issues and Applications (pp. 56-75).