Underlying Dimensions of Knowledge Assessment : Factor Analysis of the Knowledge Assessment Methodology Data
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 varia...
| Main Authors: | , |
|---|---|
| Format: | Policy Research Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2012
|
| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/2007/04/7549913/underlying-dimensions-knowledge-assessment-factor-analysis-knowledge-assessment-methodology-data http://hdl.handle.net/10986/7067 |
| id |
okr-10986-7067 |
|---|---|
| recordtype |
oai_dc |
| spelling |
okr-10986-70672021-04-23T14:02:33Z Underlying Dimensions of Knowledge Assessment : Factor Analysis of the Knowledge Assessment Methodology Data Chen, Derek H. C. Gawande, Kishore COEFFICIENTS COMPUTATION CONFIDENCE INTERVALS CONSISTENT ESTIMATES CORRELATIONS COUNTRY DATA COVARIANCE CRITICAL VALUE DEGREES OF FREEDOM DESCRIPTIVE STATISTICS DIAGONAL MATRIX DISCUSSION DISCUSSIONS DISTRIBUTIONAL ASSUMPTIONS ECONOMETRIC METHODS ERROR EXPERIMENTAL DATA FACTOR ANALYSIS FORMAL ANALYSIS GDP GDP PER CAPITA GRAPHICAL ANALYSIS HUMAN RESOURCES HYPOTHESES IDEA IDEAS IDENTITY INDEPENDENT VARIABLE INFORMATION INFRASTRUCTURE INNOVATION INNOVATION POTENTIAL INNOVATION SYSTEM INSTITUTIONAL REGIME KNOWLEDGE ASSESSMENT METHODOLOGY KNOWLEDGE ECONOMY KNOWLEDGE FOR DEVELOPMENT LARGE NUMBER LEADING LIKELIHOOD FUNCTION MATRICES MATRIX MAXIMUM LIKELIHOOD MISSING DATA NORMAL DISTRIBUTION NUMBER OF VARIABLES ORTHOGONALITY POPULATION PARAMETERS PRINCIPAL COMPONENTS ANALYSIS REGRESSION ANALYSES REGRESSION ANALYSIS REGRESSION MODEL SAMPLE SIZE SCIENTISTS SET OF VARIABLES STANDARD DEVIATION STANDARD ERRORS STATA STATA CODE STATISTICAL SIGNIFICANCE STRUCTURES TARIFF BARRIERS TEST PROCEDURE TEST STATISTIC TIME PERIODS VARIETY 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. 2012-06-04T21:25:16Z 2012-06-04T21:25:16Z 2007-04 http://documents.worldbank.org/curated/en/2007/04/7549913/underlying-dimensions-knowledge-assessment-factor-analysis-knowledge-assessment-methodology-data http://hdl.handle.net/10986/7067 English Policy Research Working Paper; No. 4216 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
COEFFICIENTS COMPUTATION CONFIDENCE INTERVALS CONSISTENT ESTIMATES CORRELATIONS COUNTRY DATA COVARIANCE CRITICAL VALUE DEGREES OF FREEDOM DESCRIPTIVE STATISTICS DIAGONAL MATRIX DISCUSSION DISCUSSIONS DISTRIBUTIONAL ASSUMPTIONS ECONOMETRIC METHODS ERROR EXPERIMENTAL DATA FACTOR ANALYSIS FORMAL ANALYSIS GDP GDP PER CAPITA GRAPHICAL ANALYSIS HUMAN RESOURCES HYPOTHESES IDEA IDEAS IDENTITY INDEPENDENT VARIABLE INFORMATION INFRASTRUCTURE INNOVATION INNOVATION POTENTIAL INNOVATION SYSTEM INSTITUTIONAL REGIME KNOWLEDGE ASSESSMENT METHODOLOGY KNOWLEDGE ECONOMY KNOWLEDGE FOR DEVELOPMENT LARGE NUMBER LEADING LIKELIHOOD FUNCTION MATRICES MATRIX MAXIMUM LIKELIHOOD MISSING DATA NORMAL DISTRIBUTION NUMBER OF VARIABLES ORTHOGONALITY POPULATION PARAMETERS PRINCIPAL COMPONENTS ANALYSIS REGRESSION ANALYSES REGRESSION ANALYSIS REGRESSION MODEL SAMPLE SIZE SCIENTISTS SET OF VARIABLES STANDARD DEVIATION STANDARD ERRORS STATA STATA CODE STATISTICAL SIGNIFICANCE STRUCTURES TARIFF BARRIERS TEST PROCEDURE TEST STATISTIC TIME PERIODS VARIETY |
| spellingShingle |
COEFFICIENTS COMPUTATION CONFIDENCE INTERVALS CONSISTENT ESTIMATES CORRELATIONS COUNTRY DATA COVARIANCE CRITICAL VALUE DEGREES OF FREEDOM DESCRIPTIVE STATISTICS DIAGONAL MATRIX DISCUSSION DISCUSSIONS DISTRIBUTIONAL ASSUMPTIONS ECONOMETRIC METHODS ERROR EXPERIMENTAL DATA FACTOR ANALYSIS FORMAL ANALYSIS GDP GDP PER CAPITA GRAPHICAL ANALYSIS HUMAN RESOURCES HYPOTHESES IDEA IDEAS IDENTITY INDEPENDENT VARIABLE INFORMATION INFRASTRUCTURE INNOVATION INNOVATION POTENTIAL INNOVATION SYSTEM INSTITUTIONAL REGIME KNOWLEDGE ASSESSMENT METHODOLOGY KNOWLEDGE ECONOMY KNOWLEDGE FOR DEVELOPMENT LARGE NUMBER LEADING LIKELIHOOD FUNCTION MATRICES MATRIX MAXIMUM LIKELIHOOD MISSING DATA NORMAL DISTRIBUTION NUMBER OF VARIABLES ORTHOGONALITY POPULATION PARAMETERS PRINCIPAL COMPONENTS ANALYSIS REGRESSION ANALYSES REGRESSION ANALYSIS REGRESSION MODEL SAMPLE SIZE SCIENTISTS SET OF VARIABLES STANDARD DEVIATION STANDARD ERRORS STATA STATA CODE STATISTICAL SIGNIFICANCE STRUCTURES TARIFF BARRIERS TEST PROCEDURE TEST STATISTIC TIME PERIODS VARIETY Chen, Derek H. C. Gawande, Kishore Underlying Dimensions of Knowledge Assessment : Factor Analysis of the Knowledge Assessment Methodology Data |
| relation |
Policy Research Working Paper; No. 4216 |
| description |
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. |
| format |
Publications & Research :: Policy Research Working Paper |
| author |
Chen, Derek H. C. Gawande, Kishore |
| author_facet |
Chen, Derek H. C. Gawande, Kishore |
| author_sort |
Chen, Derek H. C. |
| title |
Underlying Dimensions of Knowledge Assessment : Factor Analysis of the Knowledge Assessment Methodology Data |
| title_short |
Underlying Dimensions of Knowledge Assessment : Factor Analysis of the Knowledge Assessment Methodology Data |
| title_full |
Underlying Dimensions of Knowledge Assessment : Factor Analysis of the Knowledge Assessment Methodology Data |
| title_fullStr |
Underlying Dimensions of Knowledge Assessment : Factor Analysis of the Knowledge Assessment Methodology Data |
| title_full_unstemmed |
Underlying Dimensions of Knowledge Assessment : Factor Analysis of the Knowledge Assessment Methodology Data |
| title_sort |
underlying dimensions of knowledge assessment : factor analysis of the knowledge assessment methodology data |
| publisher |
World Bank, Washington, DC |
| publishDate |
2012 |
| url |
http://documents.worldbank.org/curated/en/2007/04/7549913/underlying-dimensions-knowledge-assessment-factor-analysis-knowledge-assessment-methodology-data http://hdl.handle.net/10986/7067 |
| _version_ |
1764401826509094912 |