IDEAS home Printed from https://ideas.repec.org/a/wly/navres/v47y2000i6p500-510.html
   My bibliography  Save this article

Multivariate meta analysis with potentially correlated marketing study results

Author

Listed:
  • So Young Sohn

Abstract

A univariate meta analysis is often used to summarize various study results on the same research hypothesis concerning an effect of interest. When several marketing studies produce sets of more than one effect, multivariate meta analysis can be conducted. Problems one might have with such a multivariate meta analysis are: (1) Several effects estimated in one model could be correlated to each other but their correlation is seldom published and (2) an estimated effect in one model could be correlated to the corresponding effect in the other model due to similar model specification or the data set partly shared, but their correlation is not known. Situations like (2) happen often in military recruiting studies. We employ a Monte‐Carlo simulation to evaluate how neglecting such potential correlation affects the result of a multivariate meta analysis in terms of Type I, Type II errors, and MSE. Simulation results indicate that such effect is not significant. What matters is rather the size of the variance component due to random error in multivariate effects. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 500–510, 2000.

Suggested Citation

  • So Young Sohn, 2000. "Multivariate meta analysis with potentially correlated marketing study results," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(6), pages 500-510, September.
    • Handle: RePEc:wly:navres:v:47:y:2000:i:6:p:500-510
    DOI: 10.1002/1520-6750(200009)47:63.0.CO;2-Z
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/1520-6750(200009)47:63.0.CO;2-Z
    Download Restriction: no
    File URL: https://libkey.io/10.1002/1520-6750(200009)47:63.0.CO;2-Z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sohn, S. Y., 1996. "Random effects meta analysis of military recruiting," Omega, Elsevier, vol. 24(2), pages 141-151, April.
    2. John T. Warner, 1990. "MILITARY RECRUITING PROGRAMS DURING THE 1980s: THEIR SUCCESS AND POLICY ISSUES," Contemporary Economic Policy, Western Economic Association International, vol. 8(4), pages 47-67, October.
    3. Cyril E. Kearl & David K. Horne & Curtis L. Gilroy, 1990. "Army Recruiting In A Changing Environment," Contemporary Economic Policy, Western Economic Association International, vol. 8(4), pages 68-78, October.
    4. Fern, Edward F & Monroe, Kent B, 1996. "Effect-Size Estimates: Issues and Problems in Interpretation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(2), pages 89-105, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Beth Asch & Paul Heaton, 2008. "Monopsony and Labor Supply in the Army and Navy," Working Papers 1107, Princeton University, Department of Economics, Industrial Relations Section..
    2. Sohn, S. Y., 1996. "Random effects meta analysis of military recruiting," Omega, Elsevier, vol. 24(2), pages 141-151, April.
    3. Beth Asch & Paul Heaton, 2008. "Monopsony and Labor Supply in the Army and Navy," Working Papers 1107, Princeton University, Department of Economics, Industrial Relations Section..
    4. Buchanan, Erin Michelle & Scofield, John E., 2017. "Bulletproof Bias? Considering the Type of Data in Common Proportion of Variance Effect Sizes," OSF Preprints cs4vy, Center for Open Science.
    5. Mohamed M. Mostafa, 2008. "Through the Eye of a Child," Global Business Review, International Management Institute, vol. 9(2), pages 243-255, August.
    6. Mourali, Mehdi & Yang, Zhiyong & Pons, Frank & Hassay, Derek, 2018. "Consumer power and choice deferral: The role of anticipated regret," International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 81-99.
    7. Dutta, Sujay & Pullig, Chris, 2015. "A commentary on reporting effect size and confidence intervals: Response to Palmer and Strelan (2014)," Journal of Business Research, Elsevier, vol. 68(5), pages 1082-1085.
    8. Lehmann, Donald R., 2003. "Finding important findings," Journal of Business Research, Elsevier, vol. 56(1), pages 89-90, January.
    9. Fernando Oliveira Santini & Wagner Junior Ladeira & Claudio Hoffmann Sampaio & Diego Costa Pinto, 2018. "The brand experience extended model: a meta-analysis," Journal of Brand Management, Palgrave Macmillan, vol. 25(6), pages 519-535, November.
    10. Cyril E. Kearl & David K. Horne & Curtis L. Gilroy, 1990. "Army Recruiting In A Changing Environment," Contemporary Economic Policy, Western Economic Association International, vol. 8(4), pages 68-78, October.
    11. Verlegh, Peeter W. J. & Steenkamp, Jan-Benedict E. M., 1999. "A review and meta-analysis of country-of-origin research," Journal of Economic Psychology, Elsevier, vol. 20(5), pages 521-546, October.
    12. Xia, Lan & Kukar-Kinney, Monika & Monroe, Kent B., 2010. "Effects of Consumers’ Efforts on Price and Promotion Fairness Perceptions," Journal of Retailing, Elsevier, vol. 86(1), pages 1-10.
    13. Freling, Traci H. & Yang, Zhiyong & Saini, Ritesh & Itani, Omar S. & Rashad Abualsamh, Ryan, 2020. "When poignant stories outweigh cold hard facts: A meta-analysis of the anecdotal bias," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 51-67.
    14. García-Meca, Emma & Sánchez-Ballesta, Juan Pedro, 2006. "Influences on financial analyst forecast errors: A meta-analysis," International Business Review, Elsevier, vol. 15(1), pages 29-52, February.
    15. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
    16. Velasco, Franklin & Yang, Zhiyong & Janakiraman, Narayanan, 2021. "A meta-analytic investigation of consumer response to anthropomorphic appeals: The roles of product type and uncertainty avoidance," Journal of Business Research, Elsevier, vol. 131(C), pages 735-746.
    17. Capella, Michael L. & Webster, Cynthia & Kinard, Brian R., 2011. "A review of the effect of cigarette advertising," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 269-279.
    18. Dressler, William W. & Balieiro, Mauro C. & Ribeiro, Rosane P. & Ernesto Dos Santos, José, 2005. "Cultural consonance and arterial blood pressure in urban Brazil," Social Science & Medicine, Elsevier, vol. 61(3), pages 527-540, August.
    19. Simona Romani & Giacomo Gistri & Stefano Pace, 2012. "When counterfeits raise the appeal of luxury brands," Marketing Letters, Springer, vol. 23(3), pages 807-824, September.
    20. Hans H. Bauer & Ralf Mäder & Sandra-Nadine Wagner, 2006. "Übereinstimmung von Marken- und Konsumentenpersönlichkeit als Determinante des Kaufverhaltens — Eine Metaanalyse der Selbstkongruenzforschung," Schmalenbach Journal of Business Research, Springer, vol. 58(7), pages 838-863, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:navres:v:47:y:2000:i:6:p:500-510. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6750 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.