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On the planning and design of sample surveys

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  • Ron Kenett

Abstract

Surveys rely on structured questions used to map out reality, using sample observations from a population frame, into data that can be statistically analyzed. This paper focuses on the planning and design of surveys, making a distinction between individual surveys, household surveys and establishment surveys. Knowledge from cognitive science is used to provide guidelines on questionnaire design. Non-standard, but simple, statistical methods are described for analyzing survey results. The paper is based on experience gained by conducting over 150 customer satisfaction surveys in Europe, America and the Far East.

Suggested Citation

  • Ron Kenett, 2006. "On the planning and design of sample surveys," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(4), pages 405-415.
    • Handle: RePEc:taf:japsta:v:33:y:2006:i:4:p:405-415
    DOI: 10.1080/02664760500448974
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    Cited by:

    1. Silvia Salini & Ron Kenett, 2009. "Bayesian networks of customer satisfaction survey data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(11), pages 1177-1189.

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