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What do these clinical trial results mean? How product efficacy judgments are affected by data partitioning, framing, and quantification

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  • Biswas, Dipayan
  • Pechmann, Cornelia

Abstract

Organizations often present data related to clinical trials, and other product efficacy information, in partitioned or aggregated formats, as successes or failures, and as frequencies or percentages. We examine how such different data presentation formats might interact to influence product efficacy judgments. The results of five experiments indicate that partitioned (vs. aggregated) frequency data affect judgments regarding perceived product efficacy and these effects are moderated by data frames (success vs. failure) and quantification (frequencies vs. percentages). Specifically, success-framed, partitioned, frequency data enhance product efficacy judgments and choice, while failure-framed, partitioned, frequency data have the opposite effects. However, these effects get attenuated when data are aggregated or presented as percentages.

Suggested Citation

  • Biswas, Dipayan & Pechmann, Cornelia, 2012. "What do these clinical trial results mean? How product efficacy judgments are affected by data partitioning, framing, and quantification," Organizational Behavior and Human Decision Processes, Elsevier, vol. 117(2), pages 341-350.
    • Handle: RePEc:eee:jobhdp:v:117:y:2012:i:2:p:341-350
    DOI: 10.1016/j.obhdp.2011.11.007
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    References listed on IDEAS

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    1. Einhorn, Hillel J & Hogarth, Robin M, 1986. "Decision Making under Ambiguity," The Journal of Business, University of Chicago Press, vol. 59(4), pages 225-250, October.
    2. Yinlong Zhang & Vikas Mittal, 2005. "Decision Difficulty: Effects of Procedural and Outcome Accountability," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(3), pages 465-472, December.
    3. Levin, Irwin P & Gaeth, Gary J, 1988. "How Consumers Are Affected by the Framing of Attribute Information before and after Consuming the Product," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 374-378, December.
    4. William Boulding & Ajay Kalra & Richard Staelin, 1999. "The Quality Double Whammy," Marketing Science, INFORMS, vol. 18(4), pages 463-484.
    5. repec:cup:judgdm:v:3:y:2008:i:6:p:435-448 is not listed on IDEAS
    6. repec:bla:econom:v:58:y:1991:i:232:p:417-40 is not listed on IDEAS
    7. Menon, Geeta & Block, Lauren G & Ramanathan, Suresh, 2002. "We're at As Much Risk As We Are Led to Believe: Effects of Message Cues on Judgments of Health Risk," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(4), pages 533-549, March.
    8. Ratneshwar, S & Chaiken, Shelly, 1991. "Comprehension's Role in Persuasion: The Case of Its Moderating Effect on the Persuasive Impact of," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(1), pages 52-62, June.
    9. Kuvaas, Bard & Selart, Marcus, 2004. "Effects of attribute framing on cognitive processing and evaluation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 95(2), pages 198-207, November.
    10. Hoch, Stephen J & Ha, Young-Won, 1986. "Consumer Learning: Advertising and the Ambiguity of Product Experience," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(2), pages 221-233, September.
    11. Cara L. Cuite & Neil D. Weinstein & Karen Emmons & Graham Colditz, 2008. "A Test of Numeric Formats for Communicating Risk Probabilities," Medical Decision Making, , vol. 28(3), pages 377-384, May.
    12. Pechmann, Cornelia & Ratneshwar, S, 1992. "Consumer Covariation Judgments: Theory or Data Driven?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(3), pages 373-386, December.
    13. Levin, Irwin P. & Schneider, Sandra L. & Gaeth, Gary J., 1998. "All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects," Organizational Behavior and Human Decision Processes, Elsevier, vol. 76(2), pages 149-188, November.
    14. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    15. Janiszewski, Chris & Silk, Tim & Cooke, Alan D J, 2003. "Different Scales for Different Frames: The Role of Subjective Scales and Experience in Explaining Attribute-Framing Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(3), pages 311-325, December.
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