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Performance-based funding (PBF) policies with research incentives have grown in popularity over the years despite little understanding regarding whether they actually work. This study leverages a novel national data set to examine the impact of PBF research incentives on the research expenditures and total state appropriations among public 4-year institutions, with a particular focus on minority-serving institutions. We find that PBF research incentives had no impact on the total amount or relative share of total research expenditures or the total amount of state appropriations allocated to treated institutions, regardless of minority-serving institution status. PBF policies that allowed institutions to self-select or opt into including research incentives as part of their PBF formula had a positive impact on the relative share of expenditures allocated to research and total state appropriations.

Even though a postsecondary degree can offer economic, social, and civic benefits, many community college students leave without earning a degree--including some who have performed well academically and made substantial progress toward graduation. To better understand the factors contributing to early exit, we surveyed a number of former students in a large community college system. We improve the generalizability of the survey responses through multilevel regression with post-stratification, which we use to reweight the responses to better represent the population in our original survey frame. We find that tuition and fees, living expenses, and no longer being eligible for financial aid are the factors contributing to early exit for the largest share of students. We also find variation in both financial and nonfinancial factors across subgroups, suggesting that targeted supports may be useful in helping students persist or return to college and complete their degree.

As state governments seek to improve the performance of institutions of K-12 and higher education, they often adopt educational policies that have similar names but different characteristics across states and with variations over time within states. Yet quantitative analyses generally examine the absence or presence of an educational policy instead of diving into details such as the dosage or percentage of funding tied to a policy or the specific groups being targeted by the implementation of the policy. The aim of this article is to provide guidance for education policy researchers in constructing and analyzing detailed data that can inform the design of state-level policies, using state performance-based funding policies in public higher education as an example. We also show how to conduct difference-in-differences analyses with continuous treatment variables in order to take advantage of more-nuanced data and better understand the context in which policies are effective (or ineffective).