Underlying Dimensions of Knowledge Assessment: Factor Analysis of the Knowledge Assessment Methodology Data

49 Pages Posted: 20 Apr 2016

Date Written: April 1, 2007

Abstract

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 offactors.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.

Keywords: Statistical & Mathematical Sciences, Econometrics, Economic Theory & Research, Education for Development (superceded), Innovation

Suggested Citation

Chen, Derek H.C. and Gawande, Kishore, Underlying Dimensions of Knowledge Assessment: Factor Analysis of the Knowledge Assessment Methodology Data (April 1, 2007). World Bank Policy Research Working Paper No. 4216. Available at SSRN: https://ssrn.com/abstract=981824

Derek H.C. Chen

World Bank ( email )

1818 H Street, N.W.
Washington, DC 20433
United States
202-458-1602 (Phone)
202-522-1492 (Fax)

Kishore Gawande (Contact Author)

University of Texas at Austin ( email )

2317 Speedway
Austin, TX 78712
United States

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