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A combinatorial optimization based sample identification method for group comparisons

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  • Raschke, Robyn L.
  • Krishen, Anjala S.
  • Kachroo, Pushkin
  • Maheshwari, Pankaj

Abstract

Researchers often face having to reconcile their sample selection method of survey with the costs of collecting the actual sample. An appropriate justification of a sampling strategy is central to ensuring valid, reliable, and generalizable research results. This paper presents a combinatorial optimization method for identification of sample locations. Such an approach is viable when researchers need to identify sites from which to draw a nonprobability sample when the research objective is for comparative purposes. Findings indicate that using a combinatorial optimization method minimizes the population variation assumptions based upon predetermined demographic variables within the context of the research interest. When identifying the location from which to draw a nonprobability sample, an important requirement is to draw from the most homogeneous populations as possible to control for extraneous factors. In comparison to a standard convenience sample with no identified location strategy, results indicate that the proposed combinatorial optimization method minimizes population variability and thus decreases the cost of sample collection.

Suggested Citation

  • Raschke, Robyn L. & Krishen, Anjala S. & Kachroo, Pushkin & Maheshwari, Pankaj, 2013. "A combinatorial optimization based sample identification method for group comparisons," Journal of Business Research, Elsevier, vol. 66(9), pages 1267-1271.
    • Handle: RePEc:eee:jbrese:v:66:y:2013:i:9:p:1267-1271
    DOI: 10.1016/j.jbusres.2012.02.024
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    Cited by:

    1. Krishen, Anjala S. & Agarwal, Shaurya & Kachroo, Pushkin & Raschke, Robyn L., 2016. "Framing the value and valuing the frame? Algorithms for child safety seat use," Journal of Business Research, Elsevier, vol. 69(4), pages 1503-1509.
    2. Krishen, Anjala S. & Berezan, Orie & Agarwal, Shaurya & Kachroo, Pushkin, 2016. "The generation of virtual needs: Recipes for satisfaction in social media networking," Journal of Business Research, Elsevier, vol. 69(11), pages 5248-5254.
    3. Pilar Fernández‐Ferrín & Sandra Castro‐González & Belén Bande, 2021. "Corporate social responsibility, emotions, and consumer loyalty in the food retail context: Exploring the moderating effect of regional identity," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(2), pages 648-666, March.

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