Higher education is a linchpin of the American economy and society: teaching and research at colleges and universities contribute significantly to the nation's economic activity, both directly and through their impact on future growth; federal and state governments support teaching and research with billions of taxpayers' dollars; and individuals, communities, and the nation gain from the learning and innovation that occur in higher education.

In the current environment of increasing tuition and shrinking public funds, a sense of urgency has emerged to better track the performance of colleges and universities in the hope that their costs can be contained without ... Read morecompromising quality or accessibility. Improving Measurement of Productivity in Higher Education presents an analytically well-defined concept of productivity in higher education and recommends empirically valid and operationally practical guidelines for measuring it. In addition to its obvious policy and research value, improved measures of productivity may generate insights that potentially lead to enhanced departmental, institutional, or system educational processes.

Improving Measurement of Productivity in Higher Education constructs valid productivity measures to supplement the body of information used to guide resource allocation decisions at the system, state, and national levels and to assist policymakers who must assess investments in higher education against other compelling demands on scarce resources. By portraying the productive process in detail, this report will allow stakeholders to better understand the complexities of-and potential approaches to-measuring institution, system and national-level performance in higher education.

• Front Matter
• Summary
• 1 The Importance of Measuring Productivity in Higher Education
• 2 Defining Productivity for Higher Education
• 3 Why Measurement of Higher Education Productivity Is Difficult
• 4 Advancing the Conceptual Framework
• 5 Recommendations for Creating and Extending the Measurement Framework
• 6 Implementation and Data Recommendations
• References and Bibliography
• Appendix A: Commonly Used Performance Metrics for Higher Education
• Appendix B: Methods for Measuring Comparative Quality and Cost Developed by the National Center for Academic Transformation
• Appendix C: Overview of Data Sources
• Appendix D: Estimating Project-Related Departmental Research
• Appendix E: Biographical Sketches of Panel Members
• Committee on National Statistics
• Board on Testing and Assessment