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How to Analyze the Association between Two Categorical Variables Based on Census Data with a High Level of Nonresponse

Author

Listed:
  • Milan Terek

    (School of Management in Bratislava, Slovak Republic)

  • Eva Muchová

    (University of Economics in Bratislava, Slovak Republic)

  • Peter LeÅ¡ko

    (University of Economics in Bratislava, Slovak Republic Dolnozemská cesta 1 852 35 Bratislava Slovak Republic)

Abstract

Statistical surveys are often used in shaping managerial policy and practice. In this paper we study, how to analyze the association between two categorical variables based on census data with a high level of nonresponse. The purpose is to discuss the suggested approach to the investigation. We used the census data from the survey executed at one Slovak University for testing the new process. The proposed process offers the methods of analysis of the association between two categorical variables based on pseudo-population estimated from the census data with a high level of nonresponse. We recommend using the process in the surveys in which the costs of survey execution by the census are practically not different from sample survey costs, and the connections to all units of the population are available.

Suggested Citation

  • Milan Terek & Eva Muchová & Peter LeÅ¡ko, 2023. "How to Analyze the Association between Two Categorical Variables Based on Census Data with a High Level of Nonresponse," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 70(1), pages 71-81, March.
    • Handle: RePEc:aic:saebjn:v:70:y:2023:i:1:p:71-81:n:7
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