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Construction and Validation of ‘Science Culture Index’

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Author Info

  • Rajesh Shukla

    (NCAER)

  • Martin W Bauer
Registered author(s):

    Abstract

    Countries world-wide routinely collate statistics on STS performance indicators such as R&D expenditure, science publications, citations and impact, high-tech employment, and penetration of hightech goods. In parallel there have been several, but often isolated, attempts to define complementary public understanding of science (PUS) indicators including concepts such as scientific literacy, public sentiment, interest, and attitudes. This has been somewhat successful, but also controversial. Thus, little progress has been achieved to explicitly combine STS performance indicators and PUS indicators in a composite index of science culture. This exercise draws conceptual and methodological material used in the construction of such a composite index based on a combined data base of EU (32 countries) and India (23 States). On the basis of these 55 state units the theoretical basis, feasibility and validity of a globally portable index of science culture is demonstrated. Details of the analytical options considered and decisions made, particularly in regard to integration of two data sets, identifying and defining indicators, constructing composite indices and finally its validation has been discussed. The discussion inevitably involves a degree of EU-India specific analyses, however, the methodological issues and suggested solutions are of broader interest to researchers on the topic in other contexts.

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    Bibliographic Info

    Paper provided by East Asian Bureau of Economic Research in its series Development Economics Working Papers with number 22177.

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    Date of creation: Jan 2009
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    Handle: RePEc:eab:develo:22177

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    Related research

    Keywords: science culture; EU; India; public understanding of science; STS; indicators;

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    1. M. Desai, S. Fukuda-Parr, C. Johansson, and F. Sagasti, 2002. "Measuring Technology Achievement of Nations and the Capacity to Participate in the Network Age," Human Development Occasional Papers (1992-2007) HDOCPA-2002-22, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
    2. Hans-Dieter Klingemann & Peter Mohler & Robert Weber, 1982. "Cultural indicators based on content analysis: a secondary analysis of Sorokin's data on fluctuations of systems of truth," Quality & Quantity: International Journal of Methodology, Springer, vol. 16(1), pages 1-18, February.
    3. Meghnad Desai & Sakiko Fukuda-Parr & Claes Johansson & Fransisco Sagasti, 2002. "Measuring the Technology Achievement of Nations and the Capacity to Participate in the Network Age," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 3(1), pages 95-122.
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