Preface | p. iii |
Figures | p. xi |
Tables | p. xiii |
Summary | p. xv |
Acknowledgments | p. xxv |
Abbreviations | p. xxvii |
Introduction | p. 1 |
Background | p. 1 |
BK21 Program Structure | p. 1 |
Phase I and Phase II Comparison | p. 3 |
Significance of the Program | p. 4 |
Objective of the Study | p. 5 |
Approach | p. 6 |
Outline of the Monograph | p. 7 |
Implications of Phase I Program Evaluations for Phase II Evaluations | p. 9 |
Previous Performance Evaluations of BK21 Phase I | p. 9 |
Annual and Interim Evaluations | p. 9 |
Program-Level Evaluations | p. 11 |
Findings from Previous Evaluations | p. 14 |
Changes Resulting from BK21 Phase I | p. 14 |
Suggestions for Improving the Evaluation System | p. 16 |
Limitations of Previous Evaluations | p. 17 |
Implications for Designing the Phase II Evaluation Model | p. 19 |
A Logic Model for Evaluating BK21 | p. 21 |
Literature Review and Focus Group Interviews | p. 21 |
Developing the Logic Model | p. 23 |
Identifying the Goals and Missions | p. 26 |
Goals | p. 27 |
Missions | p. 29 |
Performance Milestones | p. 31 |
Goals and Missions Identified for the Logic Model | p. 33 |
Program Inputs | p. 34 |
BK21 Funding | p. 34 |
Strategy | p. 37 |
Unit of Support | p. 40 |
Recipient Selection Criteria | p. 41 |
Performance Evaluation Criteria | p. 42 |
Other Operational Mechanisms | p. 42 |
Summary | p. 43 |
Incentives, Activities, Outputs, and Outcomes of the Program | p. 44 |
Incentives | p. 44 |
Activities | p. 47 |
Outputs | p. 48 |
Outcomes | p. 54 |
Other Observations | p. 55 |
Summary | p. 56 |
Quantitative Model to Assess BK21 Program Outcomes | p. 59 |
Introduction | p. 59 |
Summary of Phase I Statistics | p. 61 |
Potential Approaches | p. 64 |
Unadjusted Comparisons of BK21 Winners and Losers | p. 67 |
Ordinary Least Squares, Matching, and Propensity Score | p. 69 |
Fixed-Effects and Difference-in-Differences Models | p. 71 |
Regression Discontinuity | p. 74 |
Other Strategies | p. 76 |
Quantitative Model | p. 77 |
Heterogeneous Funding | p. 80 |
The Power to Identify Impacts | p. 81 |
Data for Use in Validating the Model | p. 81 |
ISI Data | p. 81 |
Ministry of Education Data | p. 83 |
Validation of the Model | p. 83 |
Pre-Treatment Trends | p. 84 |
Another Possible Comparison Group: Nonapplicants | p. 88 |
Validation | p. 90 |
Variations on the Specification | p. 96 |
Quality | p. 97 |
Social Science and Humanities | p. 100 |
Other Aspects of the Logic Model | p. 100 |
Simultaneous Equations Methods | p. 102 |
International Competitiveness | p. 104 |
Simulation: Ability to Precisely Estimate Effects at Phase II Funding Levels | p. 105 |
Simulation: Outside Funding | p. 107 |
Implications for Data Collection | p. 109 |
Summary | p. 110 |
Metrics and Measurement for Program Evaluation | p. 111 |
General Issues of Measurement | p. 112 |
Reliability | p. 113 |
Validity | p. 114 |
Direct and Indirect Measures | p. 114 |
Cost Versus Benefit | p. 115 |
Strategy for Framing Evaluation Measures | p. 116 |
Matching Measures to Goals | p. 117 |
Selecting Among Candidate Measures | p. 118 |
Adding to Korea's Research Manpower Pool | p. 132 |
Highly Educated Workforce Employment | p. 134 |
High-Quality Globally Competitive Research | p. 135 |
Measuring Quality of Research Output | p. 135 |
Consistent Measures of Quality Within Fields | p. 138 |
Measures of Quality Across All Fields | p. 144 |
Relative Research Quality Measures | p. 146 |
Changes to University/Department Infrastructure | p. 146 |
Fostering a Competitive Environment Within Korea | p. 147 |
Other Measures of Prestigious and Competitive Graduate Research | p. 150 |
Measuring Enhanced University-Industry Collaboration | p. 154 |
Measuring Enhanced Regional University Standing and Industry Linkage | p. 156 |
Industrial Research Quantity, Quality, and National Labor Productivity | p. 159 |
Database Design to Support BK21 Program Evaluation and Measurement | p. 161 |
Priority Among Proposed Measures | p. 161 |
Database Design and Content | p. 166 |
Format of Database Design Entries | p. 173 |
Future Development of BK21 and University Research in Korea | p. 177 |
A Good Model for an Allocation System | p. 178 |
Applying the Model to Korea | p. 179 |
Research Project Funding | p. 179 |
Portable Student Fellowships | p. 181 |
Facilities and Infrastructure Funding | p. 182 |
Promotion of Specific Regions or Fields | p. 183 |
BK21 Program Management | p. 183 |
Requirements for University and Department Governance | p. 183 |
Changing the Korean System | p. 184 |
Appropriate Scale and Number of Research Universities | p. 185 |
Analogy to the U.S. System | p. 185 |
Applying the Proposed Measurement Tools | p. 189 |
Summary | p. 191 |
Conclusions | p. 195 |
Directions for a Phase II Evaluation System | p. 195 |
Phase II Program Goals and Characteristics Identified by the Logic Model | p. 196 |
Quantitative Model and Data Requirements | p. 196 |
Metrics, Measures, and Database to Assess Program Effects and to Monitor Progress | p. 197 |
Assessing the Quality of Program Outputs and Outcomes | p. 199 |
Quality of Research | p. 199 |
Quality of the Highly Educated Workforce | p. 200 |
Concentration Strategy and Competition Rule | p. 201 |
Suggestions for Long-Term Changes in the Korean Scientific Research and Education System | p. 202 |
Balancing Competition and Stability in Funding | p. 202 |
Portable Student Fellowships | p. 203 |
Infrastructure Funding | p. 203 |
Improving University and Department Governance | p. 204 |
Preconditions for the Proposed Changes | p. 204 |
Enhancing Program Evaluation and Management Capabilities | p. 205 |
Appendix | |
Performance Evaluation Metrics Used in Previous Evaluations of Phase I | p. 207 |
Interview Guides for Representatives of Participants, Policymakers, and Users Related to the University Research and Education System | p. 209 |
Selection Criteria for Applied Science Research Groups: Phase II | p. 217 |
Table with Lagged Outcomes | p. 219 |
Research Data Series | p. 221 |
Education Data Series | p. 229 |
Industry Data Series | p. 237 |
General Data Series | p. 243 |
Bibliography | p. 245 |
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