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The Basics of CBM: What BCBAs Need to Know

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Abstract

Curriculum-based measurement (CBM) is an approach to measuring student academic growth and evaluating the effectiveness of instruction (Deno, Exceptional Children, 52, 219-232, 1985) that was developed, in part, based on characteristics of applied behavior analysis. Learning to administer and use CBM data is commonly part of teacher preparation programs, but less common in behavior analysis graduate programs (Schreck et al. Behavioral Interventions, 31, 355-376, 2016; Schreck & Mazur, Behavioral Interventions, 23, 201-212, 2008). This article describes a sequence of steps that educational teams can follow to use CBM within the multi-tiered system of support (MTSS) framework. These steps include (1) selecting a CBM publisher and gathering materials; (2) practicing administering and scoring CBM; (3) administering, scoring, and comparing student scores to grade-level benchmarks; (4) using CBM data to write ambitious and realistic IEP goals; and (5) using data-based individualization. Each step is described and includes a description of a case study that is based on our experiences working with pre-service teacher candidates, and special education and behavior analysis graduate students in K–12 and after-school instructional programs.

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References

  • Bailey, T. R., & Weingarten, Z. (2019). Strategies for setting high-quality academic individualized education program goals. Washington, DC: National Center on Intensive Intervention, Office of Special Education Programs, U.S. Department of Education.

  • Behavior Analyst Certification Board. (n.d.). BACB certificant data. Retrieved from https://www.bacb.com/BACB-certificant-data/

  • Deno, S. (1985). Curriculum-based measurement: The emerging Alternative. Exceptional Children, 52, 219–232. https://doi.org/10.1177/001440298505200303

    Article  PubMed  Google Scholar 

  • Deno, S. (2003). Curriculum-based measurements: Development and perspective. Assessment for Effective Intervention, 28(3–4), 3–12. https://doi.org/10.1177/073724770302800302

    Article  Google Scholar 

  • Deno, S. (2003). Developments in curriculum-based measurement. The Journal of Special Education, 37(3), 184–192. https://files.eric.ed.gov/fulltext/EJ785942.pdf

    Article  Google Scholar 

  • Deno, S., & Mirkin, P. K. (1977). Data-based program modification: A manual. Council for Exceptional Children.

    Google Scholar 

  • Goos, M., Watt, S., Park, Y., & Hosp, J. (2012). A guide to choosing web-based curriculum-based measurement for the classroom. Teaching Exceptional Children, 45(2), 34–40. https://doi.org/10.1177/004005991204500204

    Article  Google Scholar 

  • Heward, W. L. (2005). Twelve reasons why ABA is good for education and why those reasons have been insufficient. In W. L. Heward, T. E. Heron, N. A. Neef, S. M. Peterson, D. M. Sainato, G. Cartledge, R. Gardner, L. D. Peterson, S. B. Hersch, & J. C. Dardig (Eds.), Focus on behavior analysis in education: Achievements, challenges, and opportunities (pp. 239–251). Pearson.

    Google Scholar 

  • Hosp, M., Hosp, J., & Howell, K. (2016). The ABCs of CBM: A Practical Guide to curriculum-based measurement (2nd ed.). The Guilford Press.

    Google Scholar 

  • Horner, R. H., & Sugai, G. (2015). School-wide PBIS: An example of applied behavior analysis implemented at a scale of social importance. Behavior Analysis in Practice, 8(1), 80–85. https://doi.org/10.1007/s40617-015-0045-4

    Article  PubMed  PubMed Central  Google Scholar 

  • Individuals with Disabilities Education Act, 20 U.S.C. § 1400 (2004).

  • Kipfmiller, K. J., Brodhead, M. T., Wolfe, K., LaLonde, K., Sipila, E. S., Bak, M. Y., & Fisher, M. H. (2019). Training front-line employees to conduct visual analysis using a clinical decision-making model. Journal of Behavioral Education, 28, 301–322. https://doi.org/10.1007/s10864-018-09318-1

    Article  Google Scholar 

  • Layden, S. J. (2022). Creating a professional network: A statewide model to support school-based behavior analysts. Behavioral Analysis in Practice, 16, 51–64. https://doi.org/10.1007/s40617-022-00700-0

    Article  Google Scholar 

  • McLeskey, J., Barringer, M-D., Billingsley, B., Brownell, M., Jackson, D., Kennedy, M., Lewis, T., Maheady, L., Rodriguez, J., Scheeler, M. C., Winn, J., & Ziegler, D. (2017, January). High-leverage practices in special education. Arlington, VA: Council for Exceptional Children & CEEDAR Center. © 2017 CEC & CEEDAR.

  • National Center on Intensive Intervention. (2013). Data-based individualization: A framework for intensive intervention. Office of Special Education, U.S. Department of Education.

    Google Scholar 

  • Putnam, R., & F. & Kincaid, D. (2015). School-wide PBIS: Extending the impact of applied behavior analysis. Why is this important to behavior analysts? Behavior Analysis in Practice, 8(1), 88–91. https://doi.org/10.1007/s40617-015-0055-2

    Article  PubMed  PubMed Central  Google Scholar 

  • Schreck, K. A., & Mazur, K. (2008). Behavior analyst use of and beliefs in treatments for people with autism. Behavioral Interventions, 23, 201–212.

    Article  Google Scholar 

  • Schreck, K. A., Karunaratne, Y., Zane, T., & Wilford, H. (2016). Behavior analysts’ use of and beliefs in treatment for people with autism: A 5-year follow-up. Behavioral Interventions, 31(4), 355–376. https://doi.org/10.1002/bin.1461

    Article  Google Scholar 

  • Shepley, C., & Grisham-Brown, J. (2019). Applied behavior analysis in early childhood education: An overview of policies, research, blended practices, and the curriculum framework. Behavior Analysis in Practice, 12(1), 235–246. https://doi.org/10.1007/s40617-018-0236-x

    Article  PubMed  Google Scholar 

  • Stecker, P. M., Fuch, L., & Fuchs, D. (2005). Using curriculum-based measurement to improve student achievement: Review of research. Psychology in the Schools, 42(8), 795–819. https://doi.org/10.1002/pits.20113

    Article  Google Scholar 

  • The IRIS Center. (2015). Intensive intervention (part 2): Collecting and analyzing data for data-based individualization. Retrieved from https://iris.peabody.vanderbilt.edu/dbi2/

  • Vladescu, J. C., Breenman, S. L., Cox, D. J., & Drevon, D. D. (2022). What’s the big IDEA? A preliminary analysis of behavior analyst’s self-reported training in and knowledge of federal special education law. Behavior Analysis in Practice, 15, 867–880. https://doi.org/10.1007/s40617-021-00673-6

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  1. Department of Special Education & Literacy Studies, Western Michigan University, 4571 Sangren Hall (#4827), Kalamazoo, MI, 49008, USA

    Kate LaLonde, Rena VanDerwall & Meagan Walsh

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  1. Kate LaLonde
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  2. Rena VanDerwall
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  3. Meagan Walsh
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Correspondence to Kate LaLonde.

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LaLonde, K., VanDerwall, R. & Walsh, M. The Basics of CBM: What BCBAs Need to Know. Behav Analysis Practice 16, 1231–1240 (2023). https://doi.org/10.1007/s40617-023-00841-w

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