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Intracluster Homogeneity Selection Problem in a Business Survey

Author

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  • Žmuk Berislav

    (Faculty of Economics and Business, University of Zagreb, Croatia)

Abstract

Background: In the cluster sampling approach many parameters have influence on lowering the survey costs and one of the most important is the intracluster homogeneity.Objectives: The goal of the paper is to find the most optimal value of intracluster homogeneity in case when two or more questions or variables have a key role in the research.Methods/Approach: Five key variables have been selected from a business survey conducted in Croatia and results for the two-stage cluster sampling design approach were simulated. The calculated intracluster homogeneity values were compared among all the five observed questions and survey costs and precision levels were inspected.Results: In the new cluster sampling design, for the fixed precision level, the lowest survey costs would be achieved by using the intracluster homogeneity value which is the closest to the average intracluster homogeneity value among all the key questions. Similar results were obtained when survey costs were held fixed.Conclusions: If there is more than one key question in the survey, then the best solution would be to use an average intracluster homogeneity value. However, one should notice that in that case minimum survey costs would not be reached, but the precision levels would increase at all key questions.

Suggested Citation

  • Žmuk Berislav, 2016. "Intracluster Homogeneity Selection Problem in a Business Survey," Business Systems Research, Sciendo, vol. 7(2), pages 91-103, September.
    • Handle: RePEc:bit:bsrysr:v:7:y:2016:i:2:p:91-103
    DOI: 10.1515/bsrj-2016-0015
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    References listed on IDEAS

    as
    1. Robert M. Groves & Steven G. Heeringa, 2006. "Responsive design for household surveys: tools for actively controlling survey errors and costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 439-457, July.
    2. Jesse Bricker, 2014. "Survey Incentives, Survey Effort, and Survey Costs," Finance and Economics Discussion Series 2014-74, Board of Governors of the Federal Reserve System (U.S.).
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    More about this item

    Keywords

    business survey; cluster sampling; complex survey sampling design; design effect; key survey question; rate of homogeneity; survey costs;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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