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Underlying Dimensions of Knowledge Assessment : Factor Analysis of the Knowledge Assessment Methodology Data / Gawande, Kishore
World Bank Open Knowledge Repository (formerly "World Bank E-Library Publications") Available online
View online- Format:
- Book
- Government document
- Author/Creator:
- Gawande, Kishore
- Series:
- Policy research working papers.
- World Bank e-Library.
- Language:
- English
- Subjects (All):
- Correlation.
- Correlations.
- Covariance.
- Data.
- E-Business.
- Errors.
- Factor Analysis.
- Information Security and Privacy.
- Matrices.
- Matrix.
- Measurement.
- Missing Data.
- Orthogonality.
- Population Parameters.
- Principal Components Analysis.
- Private Sector Development.
- Regression Analysis.
- Sample Size.
- Samples.
- Science and Technology Development.
- Scientists.
- Standard Errors.
- Stata.
- Statistical and Mathematical Sciences.
- Variables.
- Local Subjects:
- Correlation.
- Correlations.
- Covariance.
- Data.
- E-Business.
- Errors.
- Factor Analysis.
- Information Security and Privacy.
- Matrices.
- Matrix.
- Measurement.
- Missing Data.
- Orthogonality.
- Population Parameters.
- Principal Components Analysis.
- Private Sector Development.
- Regression Analysis.
- Sample Size.
- Samples.
- Science and Technology Development.
- Scientists.
- Standard Errors.
- Stata.
- Statistical and Mathematical Sciences.
- Variables.
- Physical Description:
- 1 online resource (49 pages)
- Place of Publication:
- Washington, D.C., The World Bank, 2007
- System Details:
- data file
- Summary:
- 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.
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