Abstract
The translation of evidence-based practices (EBPs) to improve students’ social, emotional, behavioral, and academic outcomes into authentic school settings has posed significant challenges for both researchers and practitioners. Among the many barriers to the adoption and use of EBPs are their associated costs. This study presents a framework for integrating the diffusion of innovation theory into an economic evaluation utilizing a societal perspective, which affords the capturing of costs of all phases from adoption through implementation of EBPs for all stakeholders. We leverage cost data from one evidence-based math intervention to serve as a model for incorporating diffusion of innovation theory into cost estimation. We exemplify how costs are distributed across personnel and organizational structures over time and across different stages of diffusion. Results suggest that the distribution of costs changes across stages of the innovation decision-making process, and lack of attention to the pre-adoption costs may partly explain challenges in EBP adoption in schools. Implications for the translation of social, emotional, behavioral, and academic interventions in schools and suggestions for future research are discussed.
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References
Ashcraft, M. H. (2002). Math anxiety: Personal, educational, and cognitive consequences. Current Directions in Psychological Science, 11(5), 181–185. https://doi.org/10.1111/1467-8721.00196.
Backer, T. E. (2000). The failure of success: Challenges of disseminating effective substance abuse prevention programs. Journal of Community Psychology, 28, 363–373. https://doi.org/10.1002/(SICI)1520-6629(200005)28:3%3c363:AID-JCOP10%3e3.0.CO;2-T.
Belfield, C., Bowden, B., Klapp, A., Levin, H., Shand, R., & Zander, S. (2015). The economic value of social and emotional learning. New York, NY: Columbia University.
Blackburn, M. L. (2004). The role of test scores in explaining race and gender differences in wages. Economics of Education Review, 23, 555–576. https://doi.org/10.1016/j.econedurev.2004.04.005.
Blonigen, B. A., Harbaugh, W. T., Singell, L. D., Horner, R. H., Irvin, L. K., & Smolkowski, K. S. (2008). Application of economic analysis to school-wide positive behavior support (SWPBS) programs. Journal of Positive Behavior Interventions, 10, 5–19. https://doi.org/10.1177/1098300707311366.
Bozick, R., & Lauff, E. (2007). Education longitudinal study of 2002 (ELS:2002): A first look at the initial postsecondary experiences of the sophomore class of 2002 (NCES 2008-308). Washington, DC: National Center for Education Statistics, Institute of Education Sciences, US Department of Education.
Browder, D., Jimenez, B., & Trela, K. (2012). Grade-aligned math instruction for secondary students with moderate intellectual disability. Education and Training in Autism and Developmental Disabilities, 47(3), 373–388. Retrieved from http://www.jstor.org.proxy1.cl.msu.edu/stable/23879972.
Desimone, L. M., & Garet, M. S. (2015). Best practices in teachers’ professional development in the United States. Psychology, Society, and Education, 7, 252–263.
Ervin, R. A., Schaughency, E., Goodman, S. D., McGlinchey, M. T., & Matthews, A. (2006). Merging research and practice agendas to address reading and behavior school-wide. School Psychology Review, 35(2), 198–223. https://doi.org/10.1080/02796015.2006.12087987.
ESSA. (2015). Every Student Succeeds Act of 2015, Pub. L. No. 114-95§ 114 Stat. 1177 (2015–2016).
Fixsen, D. L., Naoom, S. F., Blasé, K. A., Friedman, R. M., & Wallace, F. (2005). Implementation research: A synthesis of the literature. Tampa, FL: University of South Florida, Louis de la Parte Florida Mental Health Institute, The National Implementation Research Network (FMHI Publication #231).
Gersten, R., Beckmann, S., Clarke, B., Foegen, A., Marsh, L., Star, J. R., & Witzel, B. (2009). Assisting students struggling with mathematics: Response to Intervention (RtI) for elementary and middle schools (NCEE 2009-4060). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, US Department of Education. Retrieved from http://ies.ed.gov/ncee/wwc/publications/practiceguides/.
Greenhalgh, T., Robert, G., MacFarlane, F., Bate, P., & Kyriakidou, O. (2004). Diffusion of innovations in service organizations: Systematic review and recommendations. The Milbank Quarterly: A Multidisciplinary Journal of Population Health and Heath Policy, 82, 581–629. https://doi.org/10.1111/j.0887-378X.2004.00325.x.
Hall, G. E., & Hord, S. M. (1987). Change in schools: Facilitating the process. New York: State University of New York Press.
Hicks, T. B., Shahidullah, J. D., Carlson, J. S., & Palejwala, M. H. (2014). Nationally Certified School Psychologists’ use and reported barriers to using evidence-based interventions in schools: The influence of graduate program training and education. School Psychology Quarterly, 29, 469–487. https://doi.org/10.1037/spq0000059.
Hollands, F. M., Hanisch-Cerda, B., Menon, A., Levin, H. M., & Belfield, C. R. (2015). User Manual for CostOut—The CBCSE Cost Tool Kit. Center for Benefit-Cost Studies of Education, Teachers College, Columbia University. Retrieved from: www.cbcsecosttoolkit.org.
Hollands, F., Pan, Y., & Escueta, M. (2019). What is the potential for applying cost-utility analysis to facilitate evidence-based decision making in schools? Educational Researcher, 48(5), 287–295. https://doi.org/10.3102/0013189X19852101.
Hummel-Rossi, B., & Ashdown, J. (2002). The state of cost–benefit and cost-effectiveness analyses in education. Review of Educational Research, 72, 1–30. https://doi.org/10.3102/00346543072001001.
Jimerson, S. R., Burns, M. K., & VanDerHeyden, A. M. (2016). Handbook of response to intervention: The science and practice of multi-tiered systems of support (2nd ed.). New York, NY: Springer.
Levin, H. M., & Belfield, C. R. (2009). Some economic consequences of improving mathematics performance. Menlo Park, CA: SRI International.
Levin, H. M., McEwan, P. J., Belfield, C., Bowden, A. B., & Shand, R. (2018). Economic evaluation in education: Cost-effectiveness analysis and benefit–cost analysis (3rd ed.). Thousand Oaks, CA: Sage.
McCamish, C., Reynolds, H., Algozzine, B., & Cusumano, D. (2015). An investigation of characteristics, practices, and leadership styles of PBIS coaches. Journal of Applied Educational and Policy Research, 1, 15–34. Retrieved from https://fpg.unc.edu/node/8911.
McIntyre, L. L., Gresham, F. M., DiGennaro, F. D., & Reed, D. D. (2007). Treatment integrity of school-based interventions with children in the Journal of Applied Behavior Analysis 1991–2005. Journal of Applied Behavior Analysis, 40, 659–672. https://doi.org/10.1901/jaba.2007.659-672.
Pas, E., Lindstrom Johnson, S., Alfonso, N., & Bradshaw, C. (2020). Tracking time and resources associated with systems change and the adoption of evidence-based programs: The “hidden costs” of school-based coaching. Administration and Policy in Mental Health and Mental Health Services Research. https://doi.org/10.1007/s10488-020-01039-w
Reinke, W. M., Stormont, M., Herman, K. C., Puri, R., & Goel, N. (2011). Supporting children’s mental health in schools: Teacher perceptions of needs, roles, and barriers. School Psychology Quarterly, 26, 1–13. https://doi.org/10.1037/a0022714.
Rhodes, C., Nevill, A., & Allan, J. (2004). Valuing and supporting teachers: A survey of teacher satisfaction, dissatisfaction, morale and retention in an English local education authority. Research in Education, 71, 67–80. https://doi.org/10.7227/RIE.71.7.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.
Rose, H., & Betts, J. R. (2004). The effect of high school courses on earnings. Review of Economics and Statistics, 86, 497–513. https://doi.org/10.1162/003465304323031076.
Rychetnik, L., Frommer, M., Hawe, P., & Shiell, A. (2002). Criteria for evaluating evidence on public health interventions. Journal of Epidemiology and Community Health, 56(2), 119–127. https://doi.org/10.1136/jech.56.2.119.
Schoenfeld, A. H. (2004). The math wars. Educational Poicy, 18, 253–286.
Stormont, M., Reinke, W., & Herman, K. (2011). Teachers’ knowledge of evidence-based interventions and available school resources for children with emotional and behavioral problems. Journal of Behavioral Education, 20, 138–147. https://doi.org/10.1007/s10864-011-9122-0.
US Department of Education. (2012). Prevalence and implementation fidelity of research-based prevention programs in public schools: Final report. Washington, DC: US Department of Education. Retrieved from http://www2.ed.gov/rschstat/eval/other/research-based-prevention.pdf.
Wandersman, A., Duffy, J., Flaspohler, P., Noonan, R., Lubell, K., Stillman, L., et al. (2008). Bridging the gap between prevention research and practice: The interactive systems framework for dissemination and implementation. American Journal of Community Psychology, 41, 171–181. https://doi.org/10.1007/s10464-008-9174-z.
Wei, R. C., Darling-Hammond, L., & Adamson, F. (2010). Professional development in the United States: Trends and challenges. Dallas, TX: National Staff Development Council.
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Barrett, C.A., Pas, E.T. & Lindstrom Johnson, S. A Cost Analysis of the Innovation–Decision Process of an Evidence-Based Practice in Schools. School Mental Health 12, 638–649 (2020). https://doi.org/10.1007/s12310-020-09372-z
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DOI: https://doi.org/10.1007/s12310-020-09372-z