Policy and Performance in American Higher Education A Higher Education Colloquium Richard C. Richardson Jr. Professor of Higher Education New York University Book Coauthor, Mario Martinez, UNLV March 25, 2010 Funding Support Provided by the Ford Foundation Purpose of the Study I To train a small number of policy scholars: Completed PhDs at NYU Related to Study • Alycia Hurley • Tom Carton • Christina Shakespeare • Tara Parker • Tom Smalling • Shaila Mulholland NYU New Jersey Pace University UMass Boston Texas San Diego State U Finishing PhDs and Contributed to Study • Anely Ramirez • Michael Klein • Maria Martinez NYU NYU New Mexico State Purpose of the Study II How do you promote better alignment between public interests as these are defined by those elected to leadership positions in state government and the priorities pursued by the higher education institutions they fund? The classic principal/agent problem: “implementation of … laws and executive directives is subject to bureaucratic interpretation … this creates opportunities and incentives for the bureaucrat-as-agent to deviate from the intentions or preferences of legislators.” Conceptual Framework Incorporates concepts of new institutional economics and bounded rationality. Actors “are intentionally rational but only limitedly so … Information search is costly, and the information-processing capabilities of human beings limited.” Actors make mistakes in choosing strategies, but over time acquire greater understanding and make choices that improve returns, which reflect a concern for the public wellbeing in addition to self-interest (Ostrom 1999, p. 46). Policy decisions are defined as efforts to alter “the written or unwritten rules of the game or, more formally … the humanly devised constraints that shape human interaction.” (North 1990, p. 73) Rules of the game or rules in use are the principal means governments use to influence processes and outcomes in higher education. The effect of any particular rule depends upon the configuration of other rules operating at the time it is adopted. (Ostrom 1999) Rules determine the behaviors of actors, (either individuals or groups). Professionals adopt the behaviors they believe most likely to achieve organizational goals under the prevailing rules of the game. Policy makers and associated administrative agencies establish, alter, or reinforce explicit or implicit priorities and the "rules of the game" through which they are to be pursued. Colleges and universities try to maximize preferred goals within these rules. No two states have exactly the same rules. METHODOLOGY Case studies of a purposeful sample of five states (CA, NJ, NM, NY, SD). Data included interviews with key state actors, use of web sites and analysis of documents. The study produced three sets of variables. The independent or outcome variable was performance. State fiscal effort was understood as a control variable. Rules in use were conceived as predictor variables Measuring Performance Preparation - high school completion and K-12 student achievement; Participation - chance for college by age 19, college participation rate for dependent undergraduates from low-income families, percent of 18-24 year-olds enrolled in college, and percent of 25 -49 year-olds enrolled part-time in some type of postsecondary education in 1999-2000; Completion - freshmen to sophomore retention rates for first time college freshman for four-and two-year colleges, 3yr associate degree graduation rate for twoyear colleges and 6 yr bachelor’s degree graduation rate for students entering four-year colleges, the ratio of bachelor’s degrees per 100 undergraduates and all credentials awarded at two-year colleges per 100 undergraduates; Fiscal Effort Defined Operating expenses for two- and four-year colleges and universities and for vocationaltechnical two-year colleges or institutes predominantly for high school graduates and adult students; Funding for statewide coordinating boards or governing boards, either for board expenses or for allocation by the board to other institutions or both; State scholarships or other student financial aid; Sums destined for higher education but appropriated initially to another state agency. (Palmer 2005) Identification of Rules in Use Analysis of the case studies produced 65 rules in use organized into six categories. 1) Design and Governance: how the relationship between state government and higher education is organized and how authority is exercised or influenced; 2)Planning and Strategies: influencing actors to pursue goals defined as “in the public interest.” 3) Information: how data is collected, analyzed and reported; 4) Access and Achievement: preparation, participation, and financial assistance; 5) Fiscal Policies: financial support, eligible institutions, and tax policy; 6) Research and Development: state initiatives focused on workforce training as well as initiatives to improve the research infrastructure. Data Analysis The 65 rules in use were combined in a survey instrument that asked key leaders in each of the five states to indicate level of agreement about the presence of the rule in their state. Leaders were asked to bring completed surveys to a meeting with members of the research team in each state. Responses to the survey were used for two purposes: 1) To validate researcher’s judgments about the rules operating in a state; and 2) To ensure that the rules were clear and meaningful to all participants. We used a matrix to examine the fifty-seven rules in relation to the fifteen indicators of performance. A positive relationship was one where the rule was present in the two states ranking above the median on that indicator and absent in the two states ranking below the median. A negative relationship was one where the rule was absent in the two states ranking above the median and present in the two states ranking below the median. All other combinations were treated as the absence of a relationship. In this way, a rule explains either high or low performance, but never both. Only twenty-three of the rules predicted performance (either high or low) for the five case study states. Some of the rules impacted differentially on indicators within a performance subcategory. For example, rules that help to explain baccalaureate completion rates for traditionally-aged students did not influence completion rates for community college students. And, states which emphasized rules to increase the participation and completion rates for traditionally aged students actually experienced lower performance with their adult, part-time populations. State Performance New Jersey and New York generally performed at higher levels on all three of the performance indicators. California and South Dakota had more mixed outcomes New Mexico, with rare exceptions, lagged the field. New Mexico made the greatest tax effort. California made the next greatest effort followed by South Dakota and New Jersey. New York exhibited the least effort. Tax effort and performance were thus inversely related for these five states for the indicators we studied. Rules Associated with High Performance and Lower Effort • An agency of the state has regulatory authority for all public higher education, including at least the authority to approve new academic programs when change in institutional mission could be a concern; • There is a significant private sector with a defined role in state planning for meeting higher education needs; • Elected officials and educational leaders work together to define a policy agenda for higher education in a process where state goals are explicitly identified and periodically reviewed; The state uses market forces as an intentional strategy to encourage responsiveness and efficiency; State grants based on need and designed to cover most, if not all, tuition in the public sector are awarded to students attending both public and private institutions; The state has a coordinated programs for improving access to higher education for residents who are facing economic or educational disadvantages; The state uses standardized methods for measuring learning outcomes in at least some subjects; Private institutions receive both operating and capital appropriations from the state. In contrast, States that produce lower performance despite higher effort have rules where: Each public institution has its own governing board which operates without significant state oversight; Operating appropriations for four-year public institutions are based primarily on enrollments; Two-year college tuition and/or fees are less than half of the lowest-cost four-year institution. Changing Rules to Improve Performance • State capacity to change rules in use to improve performance depends upon three key areas: – Their capacity for defining goals and priorities related to the public interest and getting higher education actors to pay attention to them. – Holding higher education accountable for performance on goals and priorities and making the results available to the public. – Fostering collaboration across sectors, segments, and levels of education aimed at improving performance. In Conclusion • Perceptions of actors about rules-in-use do predict performance. States that are dissatisfied with the performance of their higher education systems should change the rules that influence relevant behaviors; • States that lack some type of an effective interface agency operating between higher education and state government are at a significant disadvantage in achieving high performance on undergraduate indicators regardless of effort; States can improve performance by deciding on a small number of public priorities for higher education and pursuing them though intentional steering strategies that use market forces and accountability for learning outcomes to encourage responsiveness and efficiency; Private institutions should be included in strategies for attaining public priorities; State need-based student assistance should offset tuition charges in public institutions for the neediest students; Access and student success strategies should be planned and coordinated by a statewide agency to ensure that competition for the best students does not overshadow concern for those who have the potential to become competent and productive citizens if provided with adequate support; Resource allocation strategies should target desired performance outcomes and include the private sector whenever possible; Aspirations for research excellence should not be funded through strategies that place most undergraduates in low-cost institutions without the resources to respond effectively. 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