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In this study, we analyzed data for the Illinois high school class of 2003 to determine the impact of dual credit participation on postsecondary attainment. We matched 8,095 dual credit participants to an equal number of nonparticipants within the same high school at the point of postsecondary enrollment using propensity scores calculated through a two-level hierarchical generalized linear model with college type as a posttreatment adjustment. Results indicate that community college students taking dual credit were significantly more likely to obtain a baccalaureate degree (28% to 19%, respectively) than their matched peers who did not participate in dual credit. We found similar improvements in postsecondary degree attainment for students attending colleges at multiple selectivity levels, although the largest and most robust effects were found for students starting at community colleges and at non/less competitive entry institutions.

Illinois education policymakers have adopted the completion agenda that emphasizes increasing postsecondary credential attainment. Meeting completion agenda goals necessitates addressing the achievement gap. To aid in developing policy to support improved completion, this study analyzes a comprehensive statewide dataset of the 2003 Illinois high school graduating class attending 4-year institutions using Cox regression survival analysis. Study findings indicate that African American (0.768 odds ratio) and Hispanic students (0.746) were significantly less likely to complete a baccalaureate degree within 7 years of graduating from high school when compared with their White peers. Furthermore, significance held regardless of income level. Several factors significantly related to improved likelihood of baccalaureate completion were identified including high school composite American College Testing (ACT) score, dual credit and advanced placement (AP) course taking, type of curriculum, ACT English and mathematics scores, and completing the ACT core curriculum. Analysis was conducted by race and income to compare the differences in significance across these groups.

Policymakers and institutional leaders in higher education too often make decisions based on descriptive data analyses or even anecdote when better analysis options could produce more nuanced and more valuable results. Employing the setting of higher education program evaluation at a midwestern regional public university, for this study we compared analysis approaches using basic descriptive analyses, regression, standard propensity score matching (PSM), and a mixture of PSM with continuous variables, coarsened exact matching, and exact matching on categorical variables. We used three examples of program evaluations: a freshman seminar, an upper division general education program intended to improve cultural awareness and respect for diverse groups, and multiple living learning communities. We describe how these evaluations were conducted, compare the different results for each type of method employed, and discuss the strengths and weaknesses of each in the context of program evaluation.

In this article we discuss a model for assessing general education student learning outcomes related to reducing racial bias in postsecondary students. As many postsecondary institutions do, our institution attempts to address racial bias through our general education curriculum, but it is difficult to assess improvement in this area. We used the Color-Blind Racial Attitude Scale (CoBRAS) assessment tool to analyze changes in racial bias as a general education student outcome. Results of a linear regression model with a number of covariates indicated that passing a Global Awareness course (β = −0.193, p = .007) and passing a U.S. Communities course (β = −0.154, p = .021) were statistically significantly related to improved CoBRAS scores. Results of a matched pair design model revealed further evidence of an association between taking Global Awareness and U.S. Communities courses and CoBRAS scores.

In this program evaluation study, we analyzed the impact of interpersonal validation and participation in living-learning communities (LLC) on retention and GPA via regression and propensity score matching. The LLCs were designed to improve outcomes for underrepresented, low-income and first-generation students at a Midwestern regional public university. Employing data from the widely used Mid-Year Student Assessment™, we created a validation score. This student validation score was significantly associated with retention in semester three, and third semester and sixth semester GPA. In the matched pair analyses, we found mixed results with significantly improved retention for participants in just one LLC compared to their matched peers, and significantly improved GPA for a combined group of LLC participants.

The completion agenda is the dominant theme in higher education policy in the United States today, and one of the primary strategies advocated in the agenda is performance funding in budgeting for public institutions. Illinois is one example of a state that has attempted to implement performance funding as a means of directing the behavior of public institutions toward meeting state goals. This study explores lessons and limitations found in performance funding implementation in Illinois through the lens of Rubin's model of the determinants of budgeting including the roles of environment, budget processes, and the strategies of individuals involved.