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Quantitative Research

Covariance-Based Structural Equation Modeling in the Journal of Advertising: Review and Recommendations

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REFERENCES

  • Aaker, David A., and Richard P. Bagozzi (1979), “Unobservable Variables in Structural Equation Models with an Application in Industrial Selling,” Journal of Marketing Research, 16 (2), 147–58.
  • Anderson, James C., and David W. Gerbing (1988), “Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach,” Psychological Bulletin, 103 (3), 411–23.
  • Andrews, J. Craig (1989), “The Dimensionality of Beliefs toward Advertising in General,” Journal of Advertising, 18 (1), 26–35.
  • Arndt, Johan (1972), “Intrafamilial Homogeneity for Perceived Risk and Opinion Leadership,” Journal of Advertising, 1 (1), 40–47.
  • Awang, Zainudin, Asyraf Afthanorhan, and M. Asri (2015), “Parametric and Non Parametric Approach in Structural Equation Modeling (SEM): The Application of Bootstrapping,” Modern Applied Science, 9 (9), 58–67.
  • Babin, Barry J., James Boles, and Joseph F. Hair (2008), “Publishing Research in Marketing Using Structural Equation Modeling,” Journal of Marketing Theory and Practice, 16 (4), 279–85.
  • ———, Adilson Borges, and Kevin James (2016), “The Role of Retail Price Image in a Multi-Country Context: France and the USA,” Journal of Business Research, 69 (3), 1074–81.
  • ———, Mitch Griffin, and Joseph F. Hair (2016), “Heresies and Sacred Cows in Scholarly Marketing Publications,” Journal of Business Research, 69 (8), 3133–38.
  • ———, and William Zikmund (2016), Exploring Marketing Research, Mason, OH: Cengage.
  • Bagozzi, Richard P. (1980), Causal Models in Marketing, Hoboken, NJ: John Wiley & Sons.
  • ———, and Youjae Yi (1988), “On the Evaluation of Structural Equation Models,” Journal of the Academy of Marketing Science, 16 (1), 74–94.
  • ———, and ——— (2012), “Specification, Evaluation, and Interpretation of Structural Equation Models,” Journal of the Academy of Marketing Science, 40 (1), 8–34.
  • Bentler, Peter M. (1990), “Comparative Fit Indexes in Structural Models,” Psychological Bulletin, 107 (2), 238–46.
  • Blalock, Hubert M. (1964), Causal Inferences in Nonexperimental Research, Chapel Hill: University of North Carolina Press.
  • Byrne, Barbara M. (2016), Structural equation modeling with AMOS: Basic concepts, applications, and programming, New York: Routledge.
  • Chin, Wynne W., Robert A. Peterson, and Steven P. Brown (2008), “Structural Equation Modeling in Marketing: Some Practical Reminders,” Journal of Marketing Theory and Practice, 16 (4), 287–98.
  • Cox, L.A. (2009), “Why Reduced-Form Regression Models of Health Effects versus Exposures Should Not Replace QRA: Livestock Production and Infant Mortality as an Example,” Risk Analysis, 29 (12), 1664–71.
  • Darden, William R., and William D. Perreault, Jr. (1975), “A Multivariate Analysis of Media Exposure and Vacation Behavior with Life Style Covariates,” Journal of Consumer Research, 2 (2), 93–103.
  • Evans, Richard H. (1978), “Planning Public Service Advertising Messages: An Application of the Fishbein Model and Path Analysis,” Journal of Advertising, 7 (1), 28–34.
  • Freedman, D.A. (1991), “Statistical Models and Shoe Leather, with Discussion,” Sociological Methodology, 21 (2), 291–313.
  • Garretson, Judith A., and Ronald W. Niedrich (2004), “Spokes-Characters: Creating Character Trust and Positive Brand Attitudes,” Journal of Advertising, 33 (2), 25–36.
  • Ginter, James L., and Frank M. Bass (1972), “An Experimental Study of Attitude Change, Advertising, and Usage in New Product Introduction,” Journal of Advertising, 1 (1), 33–39.
  • Hair, Joseph F., William C. Black, Barry J. Babin, and Rolph E. Anderson (2010), Multivariate Data Analysis, Upper Saddle River, NJ: Prentice Hall.
  • ———, G. Tomas, M. Hult, Christian M. Ringle, and Marko Sarstedt (2017), A Primer on Partial Least Squares Structural Equation Modeling, 2nd ed., Thousand Oaks, CA: Sage.
  • Henthorne, Tony L., Michael S. LaTour, and Rajan Nataraajan (1993), “Fear Appeals in Print Advertising: An Analysis of Arousal and Ad Response,” Journal of Advertising, 22 (2), 59–69.
  • Hox, J.J., and T.M. Bechger (1998), “An Introduction to Structural Equation Modeling,” Family Science Review, 11, 354–73.
  • Hubbard, Raymond (2016), Corrupt Research, Sage: Los Angeles.
  • Hunt, Shelby D. (2010), Marketing Theory: Foundations, Controversy, Strategy, Resource-Advantage Theory, Armonk, NY: M.E. Sharpe.
  • Iacobucci, Dawn (2010), “Structural Equations Modeling: Fit Indices, Sample Size, and Advanced Topics,” Journal of Consumer Psychology, 20 (1), 90–98.
  • Jöreskog, Karl G., and Dag Sörbom (1982), “Recent Developments in Structural Equation Modeling,” Journal of Marketing Research, 19 (4), 404–16.
  • Kaplan, David (2009), Structural Equation Modeling: Foundations and Extensions, Thousand Oaks, CA: Sage.
  • Kim, Jooyoung, Youngshim Baek, and Yang Ho Choi (2012), “The Structural Effects of Metaphor-Elicited Cognitive and Affective Elaboration Levels on Attitude toward the Ad,” Journal of Advertising, 41 (2), 77–96.
  • Kline, Rex B. (2015), Principles and Practice of Structural Equation Modeling, New York, NY: Guilford Press.
  • Largen, Robert G. (1972), “Critique,” Journal of Advertising, 1 (1), 45–46.
  • Lastovicka, John L. (1983), “Convergent and Discriminant Validity of Television Commercial Rating Scales,” Journal of Advertising, 12 (2), 14–52.
  • LaTour, Michael S., and Herbert J. Rotfeld (1997), “There Are Threats and (Maybe) Fear-Caused Arousal: Theory and Confusions of Appeals to Fear and Fear Arousal Itself,” Journal of Advertising, 26 (3), 45–59.
  • Leigh, J. H., G. M. Zinkhan, and V. Swaminathan (2006), “Dimensional relationships of recall and recognition measures with selected cognitive and affective aspects of print ads,” Journal of Advertising, 35 (1), 105–22.
  • MacCallum, R.C., K.F. Widaman, K.J. Preacher, and S. Hong (2001), “Sample Size in Factor Analysis: The Role of Model Error,” Multivariate Behavioral Research, 36 (4), 611–37.
  • MacKenzie, Scott B., Philip M. Podsakoff, and Nathan P. Podsakoff (2011), “Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques,” MIS Quarterly, 35 (2), 293–334.
  • Mardia, Kanti V., John T. Kent, and John M. Bibby (1980), Multivariate Analysis, London, UK: Academic Press.
  • McDonald, Roderick P., and Ringo Ho Moon-Ho (2002), “Principles and Practice in Reporting Structural Equation Analyses,” Psychological Methods, 7 (1), 64–82.
  • Muehling, D., Russell N. Laczniak, and Jeffrey J. Stoltman (1991), “The Moderating Effects of Ad Message Involvement: A Reassessment,” Journal of Advertising, 20 (2), 29–38.
  • Noguti, Valeria, and Cristel Antonia Russell (2014), “Normative Influences on Product Placement Effects: Alcohol Brands in Television Series and the Influence of Presumed Influence,” Journal of Advertising, 43 (1), 46–62.
  • O'Rourke, Norm, and Larry Hatcher (2013), A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Cary, NC: SAS Institute.
  • Pearl, Judea (2009), “Causal Inference in Statistics: An Overview,” Statistical Surveys, 3, 96–146.
  • ——— (2010), “The Foundations of Causal Inference,” Sociological Methodology, 40 (1), 75–149.
  • ——— (2012), “The Causal Foundations of Structural Equation Modeling,” in Handbook of Structural Equation Modeling, R.H. Hoyle, ed., New York, NY: Guilford Press, 1–37.
  • ——— (2014), “Interpretation and Identification of Causal Mediation,” Psychological Methods, 19 (4), 459–81.
  • Ronkko, M., C.N. McIntosh, and J. Antonakis (2015), “On the Adoption of Partial Least Squares in Psychological Research: Caveat Emptor,” Personality and Individual Differences, 87, 76–84.
  • Sajtos, Laszlo, and Bertalan Magyar (2016), “Auxiliary Theories as Translation Mechanisms for Measurement Model Specification,” Journal of Business Research, 69 (8), 3186–91.
  • Sandage, Charles H. (1972), “Some Institutional Aspects of Advertising,” Journal of Advertising, 1 (1), 6–9.
  • Shah, Rachna, and Susan Meyer Goldstein (2006), “Use of Structural Equation Modeling in Operations Management Research: Looking Back and Forward,” Journal of Operations Research, 24 (2), 148–69.
  • Sirgy, M. Joseph, Lee Dong-Jin, Rustan Kosenko, H. Lee Meadow, Don Rahtz, Muris Cicic, Jin Guang Xi, Duygun Yarsuvat, David L. Blenkhorn, and Newell Wright (1998), “Does Television Viewership Play a Role in the Perception of Quality of Life?,” Journal of Advertising, 27 (1), 125–42.
  • Teas, R. Kenneth, John G. Wacker, and R. Eugene Hughes (1979), “A Path Analysis of Causes and Consequences of Salespeople's Perceptions of Role Clarity,” Journal of Marketing Research, 16 (3), 355–69.
  • Woodside, Arch G. (2016), “The Good Practices Manifesto: Overcoming Bad Practices Pervasive in Current Research in Business,” Journal of Business Research, 69 (2), 365–81.
  • Zhao, Guangzhi, Darrel D. Muehling, and Ioannis Kareklas (2014), “Remembering the Good Old Days: The Moderating Role of Consumer Affective State on the Effectiveness of Nostalgic Advertising,” Journal of Advertising, 43 (3), 244–55.

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