We reviewed studies utilizing task sequencing to improve academic outcomes for children with emotional and/or behavioral disorders (EBD) in educational settings. Task sequencing interventions included high-probability, high-preference, and task interspersal interventions. Although task sequencing is commonly used in research, a synthesis of recent applications in educational settings for students with EBD is absent. Systematic searches of electronic databases and ancestral references identified 11 studies meeting inclusion criteria. These 11 studies were reviewed and analyzed for (a) participant characteristics, (b) experimental design, (c) type of academic outcome as the dependent variable, (d) intervention description, (e) certainty of evidence and research quality, and (f) reported student academic outcomes. Implications for continued applied practice and future research are discussed.
AnhaltK.MorrisT. L. (2007). Parenting characteristics associated with anxiety and depression: A multivariate approach. Journal of Early and Intensive Behavior Intervention, 5, 122-137.
2.
*AxelrodM. I.ZankA. J. (2012). Increasing classroom compliance: Using a high-probability command sequence with noncompliant students. Journal of Behavioral Education, 21, 119-133.
3.
BakerS.GerstenR.DiminoJ.GriffithsR. (2004). The sustained use of research-based instructional practice: A case study of peer-assisted learning strategies in mathematics. Remedial and Special Education, 25, 5-24.
4.
BandaD.MatusznyR.TherrienW. (2009). Enhancing motivation to complete math tasks using the high-preference strategy. Intervention in School and Clinic, 44, 146-150.
5.
BradleyR.DoolittleJ.BartolottaR. (2008). Building on the data and adding to the discussion: The experiences and outcomes of students with emotional disturbance. Journal of Behavioral Education, 17, 4-23.
6.
BelfioreP. J.BasileS. P.LeeD. L. (2008). Using a high probability command sequence to increase classroom compliance: The role of behavioral momentum. Journal of Behavioral Education, 17, 160-171.
7.
*BelfioreP.LeeD.ScheelerM.KleinD. (2002). Implications of behavioral momentum and academic achievement for students with behavior disorders: Theory, application, and practice. Psychology in the Schools, 39, 171-179.
8.
*BelfioreP.LeeD.VargasA.SkinnerC. (1997). Effects of high-preference single-digit mathematics problem completion on multiple digit mathematics problem performance. Journal of Applied Behavior Analysis, 30, 327-330.
9.
BenavidesC.PoulsonC. (2009). Task interspersal and performance of matching tasks by preschoolers with autism. Research in Autism Spectrum Disorders, 3, 619-629.
10.
BurnsM. K. (2005). Using incremental rehearsal to increase fluency of single-digit multiplication facts with children identified as learning disabled in mathematics computation. Education & Treatment of Children, 28(3), 237-249.
11.
CatesG. L. (2005). A review of the effects of interspersing procedures on the stages of academic skill development. Journal of Behavioral Education, 14, 305-325.
12.
CatesG. L.SkinnerC. H.WatsonT. S.MeadowsT. J.WeaverA.JacB. (2003). Instructional effectiveness and instructional efficiency as considerations for data-based decision making: An evaluation of interpersing procedures. School Psychology Review, 32, 601-616.
13.
CullinanD.OsborneS.EpsteinM. (2004). Characteristics of emotional disturbance among female students. Remedial and Special Education, 25, 276-290.
14.
DavisC.BradyM.WilliamsR.HamiltonR. (1992). Effects of high-probability requests on the acquisition and generalization of responses to requests in young children with behavior disorders. Journal of Applied Behavior Analysis, 25, 905-916.
15.
DavisC. A.BradyM. P.HamiltonR.McEvoyM. A.WilliamsR. E. (1994). Effects of high-probability requests on the social interactions of young children with severe disabilities. Journal of Applied Behavior Analysis, 27, 619-637.
16.
*DavisC.ReichleJ. (1996). Variant and invariant high-probability requests: Increasing appropriate behaviors in children with emotional-behavioral disorders. Journal of Applied Behavior Analysis, 29, 471-482.
17.
*DavisC.ReichleJ.SouthardK. (2000). High-probability requests and a preferred item as a distractor: Increasing successful transitions in children with behavior problems. Education & Treatment of Children, 23, 423-440.
18.
DucharmeJ.WorlingD. (1994). Behavioral momentum and stimulus fading in the acquisition and maintenance of child compliance in the home. Journal of Applied Behavior Analysis, 27, 639-647.
19.
EvansJ.HardenA.ThomasJ. (2004). What are effective strategies to support pupils with emotional and behavioural difficulties (EBD) in mainstream primary schools? Findings from a systematic review of research. Journal of Research in Special Educational Needs, 4, 2-16.
20.
FlowerA.McDanielS.JolivetteK. (2011). A literature review of research quality and effective practices in alternative education settings. Education & Treatment of Children, 34, 489-510.
21.
GagnonJ.LeoneP. (2005). Elementary day and residential schools for children with emotional and behavioral disorders characteristics and entrance and exit policies. Remedial and Special Education, 26, 141-150.
22.
GastD. L.LedfordJ. (Eds.). (2010). Single-subject research methodology in behavioral sciences. New York, NY: Routledge.
23.
GeorgeM.GeorgeN.KernL.FogtJ. (2013). Three-tiered support for students with E/BD: Highlights of the universal tier. Education & Treatment of Children, 36(3), 47-62.
24.
GerstenR.FuchsL. S.ComptonD.CoyneM.GreenwoodC.InnocentiM. S. (2005). Quality indicators for group experimental and quasi-experimental research in special education. Exceptional Children, 71(2), 149-164.
25.
HarchikA. E.PutzierV. S. (1990). The use of high-probability requests to increase compliance with instructions to take medication. Journal of the Association for Persons With Severe Handicaps, 12, 287-291.
26.
HawkinsR.AxelrodM. (2008). Increasing the on-task homework behavior of youth with behavior disorders using functional behavioral assessment. Behavior Modification, 32, 840-859.
27.
HawkinsJ.SkinnerC. H.OliverR. (2005). The effects of task demands and additive interspersal ratios on fifth-grade students’ mathematics accuracy. School Psychology Review, 34, 543-555.
28.
HearstE.BesleyS.FarthingG. W. (1970). Inhibition and the stimulus control of operant behaivor1. Journal of the Experimental Analysis of Behavior, 14, 373-409.
29.
HeinickeM. R.CarrJ. E. (2014). Applied behavior analysis in acquired brain injury rehabilitation: A meta-analysis of single-case design intervention research. Behavioral Interventions, 29, 77-105.
30.
HillJ.CoufalK. (2005). Emotional/behavioral disorders: A retrospective examination of social skills, linguistics, and student outcomes. Communication Disorders Quarterly, 27, 33-46.
31.
HornerR.CarrE.HalleJ.McGeeG.OdomS.WoleryM. (2005). The use of single-subject research to identify evidence-based practice in special education. Exceptional Children, 71, 165-179.
32.
HornerR.DayH.SpragueJ.O’BrienM.HeathfieldL. (1991). Interspersed requests: A nonaversive procedure for reducing aggression and self-injury during instruction. Journal of Applied Behavior Analysis, 24, 265-278.
33.
HoulihanD.JacobsonL.BrandonP. K. (1994). Replication of a high-probability request sequence with varied interprompt times in a preschool setting. Journal of Applied Behavior Analysis, 27, 737-738.
34.
IwataB. A.DorseyM. F.SliferK. J.BaumanK. E.RichmanG. S. (1994). Toward a functional analysis of self-injury. Journal of Applied Behavior Analysis, 27, 197-209.
35.
IwataB. A.DorseyM. F.SliferK. J.BaumanK. E.RichmanG. S. (1982). Toward a functional analysis of self-injury. Analysis and Intervention in Developmental Disabilities, 2, 3-20.
36.
JohnsonK.StreetE. (2012). From the laboratory to the field and back again: Morningside Academy’s 32 years of improving students’ academic performance. The Behavior Analyst Today, 13(1), 20-40.
37.
JosephL. M.NistL. M. (2006). Comparing the effects of unknown-known ratios on word reading learning versus learning rates. Journal of Behavioral Education, 15, 69-79.
38.
KennedyC.ItkonenT.LindquistK. (1995). Comparing interspersed requests and social comments as antecedents for increasing student compliance. Journal of Applied Behavior Analysis, 28, 97-98.
KratochwillT. R.HitchcockJ.HornerR. H.LevinJ. R.OdomS. L.RindskopfD. M.ShadishW. R. (2010). Single case designs technical documentation. In What Works Clearinghouse: Procedures and standards handbook (version 3.0). Retrieved from http://ies.ed.gov/ncee/wwc/pdf/wwc_procedures_v2_standards_handbook.pdf
41.
KernL.DelaneyB.ClarkeS.DunlapG.ChildsK. (2001). Improving the classroom behavior of students with emotional and behavioral disorders using individualized curricular modifications. Journal of Emotional and Behavioral Disorders, 9, 239-247.
42.
LanW.LanthierR. (2003). Changes in students’ academic performance and perceptions of school and self before dropping out of schools. Journal of Education for Students Placed at Risk, 8, 309-332.
43.
LaneK. L. (2007). Identifying and supporting students at risk for emotional and behavioral disorders within multi-level models: Data driven approaches to conducting secondary interventions with an academic emphasis. Education & Treatment of Children, 30(4), 135-164.
44.
LaneK. L.Barton-ArwoodS.NelsonJ.WehbyJ. (2008). Academic performance of students with emotional and behavioral disorders served in a self-contained setting. Journal of Behavioral Education, 17, 43-62.
45.
LaneK. L.CarterE. W.PiersonM. R.GlaeserB. C. (2006). Academic, social, and behavioral characteristics of high school students with emotional disturbances or learning disabilities. Journal of Emotional and Behavioral Disorders, 14, 108-117.
46.
LaneK.WehbyJ.LittleM.CooleyC. (2005). Academic, social, and behavioral profiles of students with emotional and behavioral disorders educated in self-contained classrooms and self-contained schools: Part I—Are they more alike than different?Behavioral Disorders, 30(4), 349.
47.
LeeD. (2006). Facilitating transitions between and within academic tasks: An application of behavioral momentum. Remedial and Special Education, 27, 312-317.
48.
LeeD.BelfioreP.BudinS. (2008). Riding the wave: Creating a momentum of school success. Teaching Exceptional Children, 40(3), 65-70.
49.
*LeeD.LaspeA. (2003). Using high-probability request sequences to increase journal writing. Journal of Behavioral Education, 12, 261-273.
50.
*LeeD. L.BelfioreP. J.ScheelerM. C.HuaY.SmithR. (2004). Behavioral momentum in academics: Using embedded high-p sequences to increase academic productivity. Psychology in the Schools, 41, 789-801.
51.
*LeeD.LyloB.VostalB.HuaY. (2012). The effects of high-preference problems on the completion of nonpreferred mathematics. Journal of Applied Behavior Analysis, 45, 223-228.
52.
MaceF.BelfioreP. (1990). Behavioral momentum in the treatment of escape-motivated stereotypy. Journal of Applied Behavior Analysis, 23, 507-514.
53.
MaceF.HockM.LalliJ.WestB.BelfioreP.PinterE.BrownD. (1988). Behavioral momentum in the treatment of noncompliance. Journal of Applied Behavior Analysis, 21, 123-141.
54.
MaceF. C.LalliJ. S.SheaM. C.LalliE. P.WestB. J.RobertsM.NevinJ. A. (1990). The momentum of human behavior in a natural setting. Journal of the Experimental Analysis of Behavior, 54, 163-172.
55.
MartinJ. J.SkinnerC. H.NeddenriepC. E. (2001). Extending research on the interspersal procedure to perceptions of continuous reading assignments: Applied and theoretical implications of a failure to replicate. Psychology in the Schools, 38, 391-400.
56.
MasonL. H.KubinaR. M.HooverT. (2011). Effects of quick writing instruction for high school students with emotional disturbances. Journal of Emotional and Behavioral Disorders, 21, 163-175.
57.
MathurS.NelsonC. (2013). PBIS as prevention for high-risk youth in restrictive settings: Where do we go from here?Education & Treatment of Children, 36(3), 175-181.
58.
McDonaldE.ArdoinS. P. (2007). Interspersing easy math problems among challenging problems: Detection of interspersal effects in whole-class applications. Journal of Behavioral Education, 16, 342-354.
59.
McIntoshK.FilterK.BennettJ.RyanC.SugaiG. (2010). Principles of sustainable prevention: Designing scale-up of school-wide positive behavior support to promote durable systems. Psychology in the Schools, 47, 5-21.
60.
MichaelJ. (1982). Distinguishing between discriminative and motivational functions of stimuli. Journal of the Experimental Analysis of Behavior, 37, 149-155.
61.
MontarelloS.MartensB. K. (2005). Effects of interspersed brief problems on students’ endurance at completing math work. Journal of Behavioral Education, 14, 249-266.
62.
NevinJ. A. (1979). Reinforcement schedules and response strength. In ZeilerM. D.HarzemP. (Eds.), Advances in analysis of behaviour: Vol. 1. Reinforcement and the organization of behaviour (pp. 117-158). Chichester, England: Wiley.
63.
NevinJ. A.MandellC.AtakJ. R. (1983). The analysis of behavioral momentum. Journal of the Experimental Analysis of Behavior, 39, 49-59.
64.
NevinJ. A.TotaM. E.TorquatoR. D.ShullR. L. (1990). Alternative reinforcement increases resistance to change: Pavlovian or operant contingencies?Journal of the Experimental Analysis of Behavior, 53, 359-379.
65.
OliverR.SkinnerC. (2002). Applying behavioral momentum theory to increase compliance. Journal of Applied School Psychology, 19(1), 75-94.
66.
OlympiaD.SheridanS.JensonW.AndrewsD. (1994). Using student-managed interventions to increase homework completion and accuracy. Journal of Applied Behavior Analysis, 27, 85-99.
67.
O’ReillyM. F.SigafoosJ.EdrisinhaC.LancioniG.CannellaH.ChoiH. Y.BarrettoA. (2006). A preliminary examination of the evocative effects of the establishing operation. Journal of Applied Behavior Analysis, 39, 239-242.
68.
ReidR.GonzalesJ.NordnessP.TroutA.EpsteinM. (2004). A meta-analysis of the academic status of students with emotional/behavioral disturbance. The Journal of Special Education, 38, 130-143.
69.
RyanJ.PierceC.MooneyP. (2008). Evidence-based teaching strategies for students with EBD. Beyond Behavior, 17(3), 22-29.
70.
ScottT.Shearer-LingoA. (2002). The effects of reading fluency instruction on the academic and behavioral success of middle school students in a self-contained EBD classroom. Preventing School Failure: Alternative Education for Children and Youth, 46, 167-173.
71.
MorganP. L.SideridisG. D. (2013). Academic and behavioral difficulties at school: Introduction to the special issue. Behavioral Disorders, 38(4), 193-200.
72.
SimpsonR.PetersonR.SmithC. (2011). Critical educational program components for students with emotional and behavioral disorders: Science, policy, and practice. Remedial and Special Education, 32, 230-242.
73.
SingerG.SingerJ.HornerR. H. (1987). Using pretask requests to increase the probability of compliance for students with severe disabilities. Journal of the Association for Persons With Severe Handicaps, 12, 287-291.
74.
*SkinnerC.HurstK.TeepleD.MeadowsS. (2002). Increasing on-task behavior during mathematics independent seat-work in students with emotional disturbance by interspersing additional brief problems. Psychology in the Schools, 39, 647-659.
75.
StahrB.CushingD.LaneK.FoxJ. (2006). Efficacy of a function-based intervention in decreasing off-task behavior exhibited by a student with ADHD. Journal of Positive Behavior Interventions, 8, 201-211.
76.
StrandS. (2000). A modern behavioral perspective on child conduct disorder: Integrating behavioral momentum and matching theory. Clinical Psychology Review, 20, 593-615.
77.
SutherlandK.WehbyJ. (2001). The effect of self-evaluation on teaching behavior in classrooms for students with emotional and behavioral disorders. The Journal of Special Education, 35, 161-171.
78.
*TeepleD.SkinnerC. (2004). Enhancing grammar assignment perceptions by increasing assignment demands extending additive interspersal research to students with emotional and behavioral disorders. Journal of Emotional and Behavioral Disorders, 12, 120-127.
79.
TempletonT. N.NeelR. S.BloodE. (2008). Meta-analysis of math interventions for students with emotional and behavioral disorders. Journal of Emotional and Behavioral Disorders, 16, 226-239.
80.
TouchetteP. E. (1971). Transfer of stimulus control: Measuring the moment of transfer1. Journal of the Experimental Analysis of Behavior, 15, 347-354.
81.
TroutA.NordnessP.PierceC.EpsteinM. (2003). Research on the academic status of children with emotional and behavioral disorders: A review of the literature from 1961 to 2000. Journal of Emotional and Behavioral Disorders, 11, 198-210.
82.
UmbreitJ.LaneK. L.DejudC. (2004). Improving classroom behavior by modifying task difficulty effects of increasing the difficulty of too-easy tasks. Journal of Positive Behavior Interventions, 6, 13-20.
83.
VolkertV.LermanD.TrosclairN.AddisonL.KodakT. (2008). An exploratory analysis of task-interspersal procedures while teaching object labels to children with autism. Journal of Applied Behavior Analysis, 41, 335-350.
84.
*VostalB.LeeD. (2011). Behavioral momentum during a continuous reading task: An exploratory study. Journal of Behavioral Education, 20, 163-181.
85.
WoodS. J.CroninM. E. (1999). Students with emotional/behavioral disorders and transition planning: What the follow-up studies tell us. Psychology in the Schools, 36, 327-345.
