Perspectives on the Initial Adoption of Multitiered Systems of Support for Behavior

Abstract

Although the number of U.S. schools implementing multitiered systems of support for behavior (MTSS-B) continues to grow, most schools have still not adopted these evidence-based frameworks. We examined the views of educators (N = 561) at the outset of adopting MTSS-B in their schools or districts. Our survey addressed the (a) reasons schools and districts decided to adopt MTSS-B, (b) challenges they anticipated with respect to implementation, and (c) expected outcomes of MTSS-B. We also compared views across three groups of stakeholders: local school team members, building administrators, and district representatives. Although most participants reported multiple motivations for adopting MTSS-B, concerns about student behavior and the need for staff support in this area were among the primary reasons. Anticipated challenges varied by group, with district representatives affirming those challenges most strongly. Responses also suggest these stakeholders have high expectations regarding the impact of MTSS-B in their school or district. We discuss implications for technical assistance providers related to supporting a more widespread adoption of MTSS-B.

Keywords

positive behavior support schoolwide intervention systems change staff perspectives

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References

Algozzine

Barrett

Eber

George

Horner

Lewis

Putnam

Swain-Bradway

McIntosh

Sugai

(2019). School-wide PBIS Tiered Fidelity Inventory. OSEP Technical Assistance Center on Positive Behavioral Interventions and Supports. www.pbis.org

Andreou

T. E.

McIntosh

Ross

S. W.

Kahn

J. D.

(2015). Critical incidents in sustaining school-wide positive behavioral interventions and supports. The Journal of Special Education, 49(3), 157–167. https://doi.org/10.1177/0022466914554298

Baker

P. H.

(2005). Managing student behavior: How ready are teachers to meet the challenge. American Secondary Education, 33(3), 51–64. https://www.jstor.org/stable/41064554

Bambara

L. M.

Goh

Kern

Caskie

(2012). Perceived barriers and enablers to implementing individualized positive behavior interventions and supports in school settings. Journal of Positive Behavior Interventions, 14(4), 228–240. https://doi.org/f78r

Bradshaw

C. P.

Waasdorp

T. E.

Leaf

P. J.

(2012). Effects of school-wide positive behavioral interventions and supports on child behavior problems. Pediatrics, 130(5), e1136–e1145. https://doi.org/10.1542/peds.2012-0243

Debnam

K. J.

(2013). Factors influencing staff perceptions of administrator support for Tier 2 and 3 interventions: A multilevel perspective. Journal of Emotional and Behavioral Disorders, 21(2), 116–126. https://doi.org/10.1177/1063426611410571

Feuerborn

L. L.

Tyre

A. D.

Beaudoin

(2018). Classified staff perceptions of behavior and discipline: Implications for schoolwide positive behavior supports. Journal of Positive Behavior Interventions, 20(2), 101–112. http://doi.org/gdfgh8

Fixen

Blase

Metz

Van Dyke

(2013). Statewide implementation of evidence-based programs. Exceptional Children, 79(2), 213–230. http://doi.org/f4j969

George

H. P.

Cox

E. K.

Minch

Sandomierski

(2018). District practices associated with successful SWPBIS implementation. Behavioral Disorders, 43(3), 393–406. https://doi.org/10.1177/0198742917753612

10.

Goodman-Scott

Hays

D. G.

Cholewa

B. E.

(2017). “It takes a village”: A case study of PBIS implementation in an exemplary urban middle school. The Urban Review, 50, 97–122. https://doi.org/10.1007/s11256-017-0431-z

11.

Griffith

Tyner

(2019). Discipline reform through the eyes of teachers. Thomas B. Fordham Institute.

12.

Harrell

F. E.

(2019). rms: Regression modeling strategies. R package version 5.1–4. https://CRAN.R-project.org/package=rms

13.

Harris

Taylor

Thielke

Payne

Gonzalez

Conde

(2009). Research Electronic Data Capture (REDCap): A metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 42(2), 377–381. https://doi.org/10.1016/j.jbi.2008.08.010

14.

Horner

R. H.

Kincaid

Sugai

Lewis

Eber

Barrett

Dickey

C. R.

Richter

Sullivan

Boezio

Algozzine

Reynolds

Johnson

(2014). Scaling up school-wide positive behavioral interventions and supports: Experiences of seven states with documented success. Journal of Positive Behavior Interventions, 16(4), 197–208. https://doi.org/10.1177/1098300713503685

15.

Horner

R. H.

Sugai

(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

16.

Horner

R. H.

Ward

C. S.

Fixen

D. L.

Sugai

McIntosh

Putnam

Little

H. D.

(2019). Resource leveraging to achieve large-scale implementation of effective educational practices. Journal of Positive Behavioral Interventions, 21(2), 67–76. https://doi.org/10.1177/1098300718783754

17.

Kincaid

Childs

Blasé

K. A.

Wallace

(2007). Identifying barriers and facilitators in implementing schoolwide positive behavior support. Journal of Positive Behavior Interventions, 9(3), 174–184. https://doi.org/10.1177/10983007070090030501

18.

Lohrmann

Forman

Marting

Palmieri

(2008). Understanding school personnel’s resistance to adopting schoolwide positive behavior support at a universal level of intervention. Journal of Positive Behavior Interventions, 10(4), 256–269. https://doi.org/dnjbhq

19.

Malloy

J. M.

Bohanon

Francoeur

(2018). Positive behavioral interventions and supports in high schools: A case study from New Hampshire. Journal of Educational and Psychological Consultation, 28(2), 219–247. http://doi.org/dvhx

20.

McCullagh

(1980). Regression models for ordinal data. Journal of the Royal Statistical Society Series B(methodological), 42(2), 109–142. https://www.jstor.org/stable/2984952

21.

McIntosh

Kelm

J. L.

Delabra

A. C.

(2016). In search of how principals change: A qualitative study of events that help and hinder administrator support for school-wide PBIS. Journal of Positive Behavior Interventions, 18(2), 100–110. https://doi.org/f8c6m6

22.

McIntosh

Kim

Mercer

S. H.

Strickland-Cohen

M. K.

Horner

R. H.

(2015). Variables associated with enhanced sustainability of school-wide positive behavioral interventions and supports. Assessment for Effective Intervention, 40(3), 184–191. https://doi.org/10.1177/1534508414556503

23.

McIntosh

MacKay

L. D.

Hume

A. E.

Doolittle

Vincent

C. G.

Horner

R. H.

Ervin

R. A.

(2011). Development and initial validation of a measure to assess factors related to sustainability of school-wide positive behavior support. Journal of Positive Behavior Interventions, 13(4), 208–218. https://doi.org/10.1177/1098300710385348

24.

McIntosh

Mercer

S. H.

Nese

R. N. T.

Strickland-Cohen

M. K.

Kittelman

Hoselton

Horner

R. H.

(2018). Factors predicting sustained implementation of a universal behavior support framework. Educational Researcher, 47(5), 307–316. https://doi.org/gcck

25.

McIntosh

Nese

Strickland-Cohen

Kittelman

(2020, February 5). Starting, stopping, or sustaining? New empirical research on implementation of SWPBIS [Paper presentation]. The Council for Exceptional Children Annual Conference, Portland, OR. https://shorturl.at/nzJK9

26.

Menzies

H. M.

Oakes

W. P.

Lane

K. L.

Royer

D. J.

Cantwell

E. D.

Common

E. A.

Buckman

(2020). Elementary teachers’ perceptions of a comprehensive, integrated, three-tiered model of prevention. Remedial and Special Education. Advance online publication. https://doi.org/10.1177/0741932519896860

27.

Mercer

S. H.

McIntosh

Strickland-Cohen

M. K.

Horner

R. H.

(2014). Measurement invariance of an instrument assessing sustainability of school-based universal behavior practices. School Psychology Quarterly, 29(2), 125–137. https://doi.org/10.1037/spq0000054

28.

Netzel

D. M.

Eber

(2003). Shifting from reactive to proactive discipline in an urban school district: A change of focus through PBIS implementation. Journal of Positive Behavior Interventions, 5(2), 71–79. https://doi.org/10.1177/10983007030050020201

29.

Office of Special Education Programs Technical Assistance Center on Positive Behavioral Interventions and Supports. (2015). Positive behavioral interventions and supports (PBIS) implementation blueprint and self-assessment. University of Oregon.

30.

Pinkelman

S. E.

McIntosh

Rasplica

C. K.

Berg

Strickland-Cohen

M. K.

(2015). Perceived enablers and barriers related to sustainability of school-wide positive behavioral interventions and supports. Behavioral Disorders, 40(3), 171–183. https://doi.org/10.17988/0198-7429-40.3.171

31.

Radley

K. C.

Dart

E. H.

(Eds.). (2019). Handbook of behavioral interventions in schools: Multi-tiered systems of support. Oxford University Press.

32.

R Core Team. (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/

33.

Rothman

K. J.

(1990). No adjustments are needed for multiple comparisons. Epidemiology, 1(1), 43–46. https://doi.org/10.1097/00001648-19900100Q-00010

34.

RTI²-B Taskforce. (2016). Response to instruction and intervention for behavior (RTI2-B) framework. Tennessee Department of Education. https://www.tn.gov/content/dam/tn/education/special-education/rti/rti2b_framework.pdf

35.

Saville

D. J.

(1990). Multiple comparison procedures: The practical solution. The American Statistician, 44(2), 174–180. https://doi.org/10.1080/00031305.1990.10475712

36.

Shuster

B. C.

Gustafson

J. R.

Jenkins

A. B.

Lloyd

B. P.

Carter

E. W.

Bernstein

C. F.

(2017). Including students with disabilities in positive behavior intervention and -supports: Experiences and perspectives of special educators. Journal of Positive Behavioral Interventions, 19(3), 143–157. https://doi.org/10.1177/1098300716675734

37.

Simonsen

Sugai

Negron

(2008). Schoolwide positive behavior supports: Primary systems and practices. Teaching Exceptional Children, 40(6), 32–40. https://doi.org/gccm

38.

Sugai

Horner

R. H.

(2009). Defining and describing school-wide positive behavior support. In Sailor

Dunlap

Sugai

Horner

(Eds.), Handbook of positive behavior support (pp. 307–326). Springer.

39.

Sugai

Horner

R. H.

Lewis-Palmer

Rossetto Dickey

(2014). Team implementation checklist, Version 3.1. Educational and Community Supports, University of Oregon.

40.

Turri

M. G.

Mercer

S. H.

McIntosh

Nese

R. N. T.

Strickland-Cohen

M. K.

Hoselton

(2016). Examining barriers to sustained implementation of school-wide prevention practices. Assessment for Effective Intervention, 42(1), 6–17. https://doi.org/fn3j

41.

Tyre

A. D.

Feuerborn

L. L.

Woods

(2018). Staff concerns in schools planning for and implementing school-wide positive behavior interventions and supports. Contemporary School Psychology, 22(1), 77–89. https://doi.org/10.1007/s40688-017-0130-5