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6 results on '"Bush, Joshua L."'

1. Cost of start-up activities to implement a community-level opioid overdose reduction intervention in the HEALing Communities Study

Author

Montoya, Iván D., Watson, Colleen, Aldridge, Arnie, Ryan, Danielle, Murphy, Sean M., Amuchi, Brenda, McCollister, Kathryn E., Schackman, Bruce R., Bush, Joshua L., Speer, Drew, Harlow, Kristin, Orme, Stephen, Zarkin, Gary A., Castry, Mathieu, Seiber, Eric E., Barocas, Joshua A., Linas, Benjamin P., and Starbird, Laura E.

Published
2024
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2. The HEALing (Helping to End Addiction Long-term SM) Communities Study: Protocol for a cluster randomized trial at the community level to reduce opioid overdose deaths through implementation of an integrated set of evidence-based practices

Author

Walsh, Sharon L., El-Bassel, Nabila, Jackson, Rebecca D., Samet, Jeffrey H., Aggarwal, Maneesha, Aldridge, Arnie P., Baker, Trevor, Barbosa, Carolina, Barocas, Joshua A., Battaglia, Tracy A., Beers, Donna, Bernson, Dana, Bowers-Sword, Rachel, Bridden, Carly, Brown, Jennifer L., Bush, Heather M., Bush, Joshua L., Button, Amy, Campbell, Aimee N.C., Cerda, Magdalena, Cheng, Debbie M., Chhatwal, Jag, Clarke, Thomas, Conway, Kevin P., Crable, Erika L., Czajkowski, Andrea, David, James L., Drainoni, Mari-Lynn, Fanucchi, Laura C., Feaster, Daniel J., Fernandez, Soledad, Freedman, Darcy, Freisthler, Bridget, Gilbert, Louisa, Glasgow, LaShawn M., Goddard-Eckrich, Dawn, Gutnick, Damara, Harlow, Kristin, Helme, Donald W., Huang, Terry, Huerta, Timothy R., Hunt, Timothy, Hyder, Ayaz, Kerner, Robin, Keyes, Katherine, Knott, Charles E., Knudsen, Hannah K., Konstan, Michael, Larochelle, Marc R., Craig Lefebvre, R., Levin, Frances, Lewis, Nicky, Linas, Benjamin P., Lofwall, Michelle R., Lounsbury, David, Lyons, Michael S., Mann, Sarah, Marks, Katherine R., McAlearney, Ann, McCollister, Kathryn E., McCrimmon, Tara, Miles, Jennifer, Miller, Cortney C., Nash, Denis, Nunes, Edward, Oga, Emmanuel A., Oser, Carrie B., Plouck, Tracy, Rapkin, Bruce, Freeman, Patricia R., Rodriguez, Sandra, Root, Elisabeth, Rosen-Metsch, Lisa, Sabounchi, Nasim, Saitz, Richard, Salsberry, Pamela, Savitsky, Caroline, Schackman, Bruce R., Seiber, Eric E., Slater, Michael D., Slavova, Svetla, Speer, Drew, Martinez, Linda Sprague, Stambaugh, Leyla F., Staton, Michele, Stein, Michael D., Stevens-Watkins, Danelle J., Surratt, Hilary L., Talbert, Jeffery C., Thompson, Katherine L., Toussant, Kim, Vandergrift, Nathan A., Villani, Jennifer, Walker, Daniel M., Walley, Alexander Y., Walters, Scott T., Westgate, Philip M., Winhusen, Theresa, Wu, Elwin, Young, April M., Young, Greg, Zarkin, Gary A., and Chandler, Redonna K.

Published
2020
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4. Total and Marginal Cost Analysis for a High School Based Bystander Intervention

Author

Bush, Joshua L., Bush, Heather M., Coker, Ann L., Brancato, Candace J., Clear, Emily R., and Recktenwald, Eileen A.

Abstract

Costs of providing the Green Dot bystander-based intervention, shown to be effective in the reduction of sexual violence among Kentucky high school students, were estimated based on data from a large cluster-randomized clinical trial. Rape Crisis Center Educators were trained to provide Green Dot curriculum to students. Implementing Green Dot in schools (N = 13) randomized to the intervention, over five years, cost $1.6 M and included start-up ($58 K) and ongoing implementation ($1.55 M). Costs for adding a school ($25,510) were calculated based on the final year, where no start-up costs were incurred. Knowing the $25,510 cost estimate for adding Green Dot may be particularly useful for high school administrators or school boards when they were making economic decisions based on strong evidence of program effectiveness to reduce violence.

Published
2018
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5. The Allocation of State Appropriations and Students Across Different Types of Public Institutions of Higher Education

Author

Bush, Joshua L.

Subjects
Education Economics, Higher Education, Politics and Social Change
Abstract

Public higher education has evolved over time under the control of each individual state. The public system in each state is made up of distinctive types of institutions that together provide higher education in different formats. Public institutions may largely be classified into three groups based on the level of education provided including community colleges, regional institutions, and research universities. While the institutions employed are largely the same in each state, the extent to which each is utilized and the support given reflect the individual characteristics of the state. This dissertation examines appropriations and enrollments by state and year in three classifications of universities: research universities, regional universities, and community colleges. The appropriations and enrollments in regional and community settings are measured relative to the same for research universities. The explanatory variables are political, economic, and demographic variables relevant in state finance to the allocation of state budgets. There are three empirical chapters. The first uses Granger causality concepts to examine whether appropriations and enrollment have strong predictive effects on each other in the following year. Enrollment has no such effect on appropriations, while there is a weak effect the other way. The second chapter studies relative appropriations, finding that the proportion of appropriations allocated to regional institutions has remained consistent, while states have proportionally shifted toward community colleges. The third chapter studies enrollment, which is very stable for regional universities and has shifted toward community colleges relative to research universities. Again, political and economic factors are somewhat different in these models. Examining year effects net of economics and politics, there are no such effects on appropriations; but for enrollment, regional universities grew somewhat relative to research universities in the earlier years (1986 to 1993), and community colleges grew throughout the period with pauses. The Great Recession is clearly visible in community college enrollments, growing as usual during an economic downturn.

Published
2018
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6. Community College Student Degree Completion Using Classification and Regression Tree Analysis.

Author

Davidson, J. Cody and Bush, Joshua L.

Subjects
COMMUNITY college students, CART algorithms, CREDIT control, COMMUNITY colleges, DECISION making
Abstract

Community college leaders often look to institutional researchers to provide information to better inform their decision-making process, which guides local policy making and practice. The purpose of this paper is to acquaint community college institutional researchers with a data visualization technique called classification and regression tree (CART) analysis and demonstrate how it may be used to communicate student degree completion findings to internal and external audiences. The CART analysis provides a data-driven pictorial representation of how successful community college students are at earning an associate degree based on demographic, financial and academic variables. Using a statewide dataset, this study found grade point average, being an underrepresented minority, KEES, earned credit ratio, age, enrollment intensity, Federal Pell Grant, and gender were statistically significant variables of associate degree completion. Implications of these findings and the application of this technique are discussed. [ABSTRACT FROM AUTHOR]

Published
2016

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