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Underlying dimensions of knowledge assessment : factor analysis of the knowledge assessment methodology data


  • Chen, Derek H. C.
  • Gawande, Kishore


The Knowledge Assessment Methodology (KAM) database measures variables that may be used to assess the readiness of countries for the knowledge economy and has many policy uses. Formal analysis using KAM data is faced with the problem of which variables to choose and why. Rather than make these decisions in an ad hoc manner, the authors recommend factor-analytic methods to distill the information contained in the many KAM variables into a smaller set of"factors."Their main objective is to quantify the factors for each country, and to do so in a way that allows comparisons of the factor scores over time. The authors investigate both principal components as well as true factor analytic methods, and emphasize simple structures that help provide a clear political-economic meaning of the factors, but also allow comparisons over time.

Suggested Citation

  • Chen, Derek H. C. & Gawande, Kishore, 2007. "Underlying dimensions of knowledge assessment : factor analysis of the knowledge assessment methodology data," Policy Research Working Paper Series 4216, The World Bank.
  • Handle: RePEc:wbk:wbrwps:4216

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    References listed on IDEAS

    1. Chen, Derek H. C. & Dahlman, Carl J., 2004. "Knowledge and development : a cross-section approach," Policy Research Working Paper Series 3366, The World Bank.
    2. Kaufmann, Daniel & Kraay, Aart & Zoido-Lobaton, Pablo, 1999. "Aggregating governance indicators," Policy Research Working Paper Series 2195, The World Bank.
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    Cited by:

    1. Alexander, Dale & Butcher, Wayne, 2011. "Strategies for measuring the knowledge economy in the Caribbean," Documentos de Proyectos 506, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

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    Statistical&Mathematical Sciences; Econometrics; Economic Theory&Research; Education for Development (superceded); Innovation;

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