Advanced Search
MyIDEAS: Login to save this article or follow this journal

Statistical formats to optimize evidence-based decision making: A behavioral approach

Contents:

Author Info

  • Arribas, Iván
  • Comeig, Irene
  • Urbano, Amparo
  • Vila, José

Abstract

Statistical information is crucial for managerial decision making. The decision-making literature in psychology and mathematical cognition documents how different statistical formats can facilitate certain types of decisions. The present analysis is the first of its kind to assess the impact of statistical formats in the presentation of data from market research on both the optimality of market decisions and the time required to perform the decision-making process. An economic experiment provides the data for this study. The experiment presents statistical information in simple frequencies and relative frequencies using numerical and pictorial representations in the context of different informational environments. The key findings are that statistical information presented in terms of relative frequency formats gives rise to more accurate decision making than data presented in terms of simple frequencies, independently of the informational environments. When time is the relevant variable, numerical formats lead to a faster interpretation than pictorial ones. Since the number of factors defining the four statistical formats and the different informational environments is quite large, an orthogonal design offers a suitable experimental design. This design keeps the experiment manageable without substantially reducing its analytical power.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.sciencedirect.com/science/article/pii/S0148296313004165
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Elsevier in its journal Journal of Business Research.

Volume (Year): 67 (2014)
Issue (Month): 5 ()
Pages: 790-794

as in new window
Handle: RePEc:eee:jbrese:v:67:y:2014:i:5:p:790-794

Contact details of provider:
Web page: http://www.elsevier.com/locate/jbusres

Related research

Keywords: Economic experiments; Statistical formats; Probability judgment; Orthogonal design; Judgment under uncertainty;

Other versions of this item:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Christine Kaufmann & Martin Weber & Emily Haisley, 2013. "The Role of Experience Sampling and Graphical Displays on One's Investment Risk Appetite," Management Science, INFORMS, vol. 59(2), pages 323-340, July.
  2. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
  3. Robin Hogarth & Emre Soyer, 2010. "Econometrics and decision making: Effects of presentation mode," Economics Working Papers 1204, Department of Economics and Business, Universitat Pompeu Fabra.
  4. Macchi, Laura, 2000. "Partitive Formulation of Information in Probabilistic Problems: Beyond Heuristics and Frequency Format Explanations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(2), pages 217-236, July.
  5. Robin Hogarth & Emre Soyer, 2010. "Econometrics and Decision Making: Effects of Presentation Mode," Working Papers 426, Barcelona Graduate School of Economics.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:67:y:2014:i:5:p:790-794. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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