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Statistics as Organizational Products

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  • Ray Thomas

Abstract

The paper argues that statistics should be seen as organizational products and that growth in the range and variety of statistics testifies to growth in the power of organizations. The paper emphasises the importance of identifying the functions of statistical systems, and recommends a genealogical approach to help identify the unwitting testimony given by the assumptions and motivations associated with the categorizations and data creation procedures used in the production of statistics. The paper examines the motivations, assumptions, and functions associated with statistical systems involving the Census of Population, the British National Food Survey, economic management, and unemployment. The discussion focuses on the evidence these case studies provide on the role of statistics in society and of the influence of organizational meanings on society.

Suggested Citation

  • Ray Thomas, 1996. "Statistics as Organizational Products," Sociological Research Online, , vol. 1(3), pages 67-76, October.
    • Handle: RePEc:sae:socres:v:1:y:1996:i:3:p:67-76
    DOI: 10.5153/sro.36
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    References listed on IDEAS

    as
    1. Thomas, Ray, 1984. "Why Have Government Statistics? (And How to Cut their Cost)," Journal of Public Policy, Cambridge University Press, vol. 4(2), pages 85-102, May.
    2. Stuart Peacock & Peter Smith, 1995. "The resource allocation consequences of the new NHS needs formula," Working Papers 134chedp, Centre for Health Economics, University of York.
    3. Trevor A. Sheldon & Roy Carr‐Hill, 1992. "Resource Allocation by Regression in the National Health Service: A Critique of the Resource Allocation Working Party's Review," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 155(3), pages 403-420, May.
    Full references (including those not matched with items on IDEAS)

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