Abstract
Richman et al. (J Appl Behav Anal 48:131–152, 2015) completed a meta-analytic analysis of single-case experimental design data on noncontingent reinforcement (NCR) for the treatment of problem behavior exhibited by individuals with developmental disabilities. Results showed that (1) NCR produced very large effect sizes for reduction in problem behavior, (2) NCR implemented with the functional reinforcer resulted in a slightly larger effect size compared to NCR using nonfunctional reinforcers, and (3) schedule thinning for the delivery of reinforcers typically produced temporary and modest increases in levels of problem behavior. The purpose of the current study was to conduct follow-up analyses to determine whether treatment implementation setting, topography, or the function of problem behavior influenced the treatment effect size for problem behavior exhibited by individuals with developmental disabilities. Follow-up analyses showed that NCR effect sizes were very similar across inpatient and outpatient settings and across aggression and property destruction versus self-injurious behaviors. Results showed that NCR effect size for treatment of problem behavior maintained by a form of social reinforcement was slightly greater than problem behavior maintained by automatic reinforcement. Results are discussed in terms of applying NCR in school settings as an initial treatment for problem behaviors that can interfere with academic, adaptive, and vocational skill acquisition for students with developmental disabilities.
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Notes
(a) The study identified a socially significant human behavior for reduction, (b) the only manipulation between baseline and intervention phases was the addition of NCR, (c) data were displayed at the participant level, (d) a minimum of three data points were included in each phase, (e) consistent axis intervals were used, (f) baseline and treatment were compared using single-case designs, (g) the schedule of stimulus delivery or removal was independent and identified (i.e., the schedule was not tied to behavior in two or more conditions), and (h) the intervention consisted of response-independent time-based delivery of reinforcement.
References
Allen, M. B., Baker, J. C., Nuernberger, J. E., & Vargo, K. K. (2013). Precursor manic behavior in the assessment and treatment of episodic problem behavior for a women with dual diagnosis. Journal of Applied Behavior Analysis, 46, 685–688.
Asparouhov, T. (2004). Weighting for unequal probability of selection in multilevel modeling. Mplus Web Notes No. 8. Los Angeles, CA: Muthen & Muthen.
Austin, J. E., & Tiger, J. H. (2015). Providing alternative reinforcers to facilitate tolerance to delayed reinforcement following functional communication training. Journal of Applied Behavior Analysis, 48, 663–668.
Banda, D. R., & Sokolosky, S. (2012). Effectiveness of noncontingent attention to decrease attention-maintained disruptive behaviors in the general education classroom. Child & Family Behavior Therapy, 34, 130–140.
Biosoft. (2004). UnGraph for Windows (Version 5.0). Cambridge: Biosoft.
Bloom, S. E., Lambert, J. M., Dayton, E., & Samaha, A. L. (2013). Teacher-conducted trial-based functional analyses as the basis for intervention. Journal of Applied Behavior Analysis, 46, 208–218.
Burns, M. K. (2012). Meta-analysis of single-case design research: introduction to the special issue. Journal of Behavioral Education, 21, 175–184.
Burns, M. K., Zaslofsky, A. F., Kanive, R., & Parker, D. C. (2012). Meta-analysis of incremental rehearsal using phi coefficients to compare single-case and group designs. Journal of Behavioral Education, 21, 185–202.
Carr, J. E., Coriaty, S., Wilder, D. A., Gaunt, B. T., Dozier, C. L., Britton, L. N., et al. (2000). A review of “noncontingent” reinforcement as treatment for the aberrant behavior of individuals with developmental disabilities. Research in Developmental Disabilities, 21, 377–391.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
Cohen, J. (1992). Quantitative methods in psychology: A power primer. Psychological Bulletin, 112, 155–159.
Derby, K. M., Fisher, W. W., & Piazza, C. C. (1996). The effects of contingent and noncontingent attention on self-injury and self-restraint. Journal of Applied Behavior Analysis, 29, 107–110.
Dozier, C. L., Iwata, B. A., Wilson, D. M., Thomason-Sassi, J. L., & Roscoe, E. M. (2013). Does supplementary reinforcement of stereotypy facilitate extinction? Journal of Applied Behavior Analysis, 46, 242–255.
Falcomata, T. S., & Gainey, S. (2014). An evaluation of noncontingent reinforcement for the treatment of challenging behavior with multiple functions. Journal of Developmental Physical Disabilities, 26, 317–324.
Flay, B. R., Biglan, A., Boruch, R. F., Castro, F. G., Gottfredson, D., Kellam, S., et al. (2005). Standards of evidence: Criteria for efficacy, effectiveness and dissemination. Prevention Science, 6, 151–175.
Fritz, J. N., Iwata, B. A., Hammond, J. L., & Bloom, S. E. (2013). Experimental analysis of precursors to severe problem behavior. Journal of Applied Behavior Analysis, 46, 101–129.
Gallop, R. J., Dimidjian, S., Atkins, D. C., & Muggeo, V. (2011). Quantifying treatment effects when flexibly modeling individual change in a nonlinear mixed effects model. Journal of Data Science, 9, 221–241.
Ganz, J. B., Earles-Vollrath, T. L., Heath, A. K., Parker, R., Rispoli, M. J., & Duran, J. (2012). A meta-analysis of single case research studies on aided augmentative and alternative communication systems with individuals with autism spectrum disorders. Journal of Autism and Developmental Disorders, 42, 60–74.
Goh, H. L., Iwata, B. A., & DeLeon, I. G. (2000). Competition between noncontingent and contingent reinforcement schedules during response acquisition. Journal of Applied Behavior Analysis, 33, 195–205.
Goldstein, H., & Yang, M. (2000). Meta-analysis using multilevel models with an application to the study of class size effects. Applied Statistics, 49, 399–412.
Halle, J. W., & Holt, B. (1991). Assessing stimulus control in natural settings: An analysis of stimuli that acquire control during training. Journal of Applied Behavior Analysis, 24, 579–589.
Hanley, G. P., Iwata, B. A., & McCord, B. E. (2003). Functional analysis of problem behavior: A review. Journal of Applied Behavior Analysis, 36, 147–185.
Horner, R. H., Carr, E. G., Halle, J., McGee, G., Odom, S., & Wolery, M. (2005). The use of single-subject research to identify evidence-based practice in special education. Exceptional Children, 71, 165–179.
Horner, R. H., & Kratochwill, T. R. (2012). Synthesizing single-case research to identify evidence-based practices: some brief reflections. Journal of Behavioral Education, 21, 266–272.
Horner, R. H., Swaminathan, H., Sugai, G., & Smolkowski, K. (2012). Considerations for the systematic analysis and use of single-case research. Education and Treatment of Children, 35, 269–290.
Hox, J. J. (2002). Multilevel analysis techniques and applications. Mahwah: Lawrence Erlbaum Associates.
Individuals with Disabilities Education Improvement Act, H.R. 1350, 108th Congress (2004).
Kadey, H. J., & Roane, H. S. (2012). Effects of access to a stimulating object on infant behavior during tummy time. Journal of Applied Behavior Analysis, 45, 395–399.
Kahng, S., Iwata, B. A., & Lewin, A. B. (2002). Behavioral treatment of self-injury, 1964 to 2000. American Journal on Mental Retardation, 107, 212–221.
Kavale, K. A. (1984). Potential advantages of the meta-analysis technique for research in special education. Journal of Special Education, 18, 61–72.
Kavale, K. A. (1998). Some methods are more effective than others. Intervention in School and Clinic, 33, 195–200.
Kavale, K. A. (2001). Meta-analysis: A primer. Exceptionality, 9, 177–183.
Kratochwill, T. R., Hitchcock, J., Horner, R. H., Levin, J. R., Odom, S. L., Rindskopf, D. M., & Shadish, W. R. (2010). Single-case designs technical documentation. Retrieved from What Works Clearinghouse website: http://ies.ed.gov/ncee/wwc/pdf/wwc_scd.pdf.
Lanovaz, M. J., Rapp, J. T., & Ferguson, S. (2012). The utility of assessing musical preference before implementation of noncontingent music to reduce vocal stereotypy. Journal of Applied Behavior Analysis, 45, 845–851.
Lochman, J. E. (2003). Commentary: School contextual influences on the dissemination of interventions. School Psychology Review, 32, 174–177.
Maggin, D. M., Briesch, A. M., & Chafouleas, S. M. (2013). An application of the What Works Clearinghouse standards for evaluating single-subject research: Synthesis of the self-management literature base. Remedial and Special Education, 34, 44–58.
Marcus, B. A., & Vollmer, T. R. (1996). Combining noncontingent reinforcement and differential reinforcement schedules as treatment for aberrant behavior. Journal of Applied Behavior Analysis, 29, 43–51.
Methe, S. A., Kilgus, S. P., Neiman, C., & Riley-Tillman, T. C. (2012). Meta-analysis of interventions for basic mathematics computation in single-case research. Journal of Behavioral Education, 21, 230–253.
Mevers, J. E. L., Fisher, W. W., Kelley, M. E., & Fredrick, L. D. (2014). The effects of variable-time versus contingent reinforcement delivery on problem behavior maintained by escape. Journal of Applied Behavior Analysis, 47, 277–292.
Orwin, R. G. (1983). A fail-safe N for effect size in meta-analysis. Journal of educational statistics, 8, 157–159.
Parker, R. I., & Vannest, K. J. (2012). Bottom-up analysis of single-case research designs. Journal of Behavioral Education, 21, 254–265.
Perry, V., Albeg, L., & Tung, C. (2012). Meta-analysis of single-case design research on self-regulatory interventions for academic performance. Journal of Behavioral Education, 21, 217–229.
Persel, C. S., Persel, C. H., Ashley, M. J., & Krych, D. K. (1997). The use of noncontingent reinforcement and contingent restraint to reduce physical aggression and self-injurious behaviour in a traumatically brain injured adult. Brain Injury, 11, 751–760.
Raudenbush, S. W., Bryk, A. S., Cheong, Y. F., Congdon, R., & Du Toit, M. (2011). HLM statistical software: Version 7. Lincolnwood, IL: Scientific Software International Inc.
Richman, D. M., Barnard-Brak, L., Grubb, L., Bosch, A., & Abby, L. (2015). Meta-analysis of noncontingent reinforcement effects on problem behavior. Journal of Applied Behavior Analysis, 48, 131–152.
Rispoli, M., Ganz, J., Neely, L., & Goodwyn, F. (2013). The effect of noncontingent positive versus negative reinforcement on multiply controlled behavior during discrete trial training. Journal of Developmental and Physical Disabilities, 25, 135–148.
Roscoe, E. M., Iwata, B. A., & Goh, H. (1998). A comparison of noncontingent reinforcement and sensory extinction as treatments for self-injurious behavior. Journal of Applied Behavior Analysis, 31, 635–646.
Roscoe, E. M., Iwata, B. A., & Zhou, L. (2013). Assessment and treatment of chronic hand mouthing. Journal of Applied Behavior Analysis, 46, 181–198.
Shadish, W. R. (2014). Analysis and meta-analysis of single-case designs: an introduction. Journal of School Psychology, 52, 109–122.
Sprague, J., Holland, K., & Thomas, K. (1997). The effect of noncontingent sensory reinforcement, contingent sensory reinforcement, and response interruption on stereotypical and self-injurious behavior. Research in Developmental Disabilities, 18, 61–77.
Tomlin, M., & Reed, P. (2012). Effects of fixed-time reinforcement delivered by teachers for reducing problem behavior in special education classrooms. Journal of Behavioral Education, 21, 150–162.
Vollmer, T. R., Iwata, B. A., Zarcone, J. R., Smith, R. G., & Mazaleski, J. L. (1993). The role of attention in the treatment of attention-maintained self-injurious behavior: Noncontingent reinforcement and differential reinforcement of other behavior. Journal of Applied Behavior Analysis, 26, 9–21.
Vollmer, T. R., Marcus, B. A., & Ringdahl, J. E. (1995). Noncontingent escape as treatment for self-injurious behavior maintained by negative reinforcement. Journal of Applied Behavior Analysis, 28, 15–26.
Vollmer, T. R., Ringdahl, J. E., Roane, H. S., & Marcus, B. A. (1997). Negative side effects of noncontingent reinforcement. Journal of Applied Behavior Analysis, 30, 161–164.
Wallace, M. D., Iwata, B. A., Hanley, G. P., Thompson, R. H., & Roscoe, E. M. (2012). Noncontingent reinforcement: A further examination of schedule effects during treatment. Journal of Applied Behavior Analysis, 45, 709–719.
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.
Woods, K. E., Luiselli, J. K., & Tomassone, S. (2013). Functional analysis and intervention for chronic rumination. Journal of Applied Behavior Analysis, 46, 328–332.
Zawoyski, A. M., Bosch, A., Vollmer, T. R., & Walker, S. F. (2014). Evaluating the effects of matched and unmatched stimuli on nail biting in typically developing children. Behavior Modification, 38, 428–447.
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Ritter, W.A., Barnard-Brak, L., Richman, D.M. et al. The Influence of Function, Topography, and Setting on Noncontingent Reinforcement Effect Sizes for Reduction in Problem Behavior: A Meta-analysis of Single-Case Experimental Design Data. J Behav Educ 27, 1–22 (2018). https://doi.org/10.1007/s10864-017-9277-4
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DOI: https://doi.org/10.1007/s10864-017-9277-4