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| Current Issues in Education :: Volume 1, 1998 :: Number 5 |
This article has been retrieved times since November 18, 1998
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Citation Information Miller, J. A., Tansy, M., & Hughes, T. L. (1998, November 18). Functional behavioral assessment: The link between problem behavior and effective intervention in schools. Current Issues in Education [On-line], 1(5). Available: http://cie.ed.asu.edu/volume1/number5/
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Functional Behavioral Assessment: The Link Between Problem Behavior and Effective Intervention in Schools
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Jeffrey A. Miller
Duquesne University
Michael Tansy
Tammy L. Hughes
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The steps in conducting an FBA and developing subsequent interventions are similar to team problem-solving approaches described by others (Cosden & Semmel, 1992; Zins & Erchul, 1995). First, the team determines what data to collect. This determination is based on the team's consensus regarding those behaviors that are most disruptive to the learning environment. Next, the team describes the behavior based on assessment information. This description is free of judgment regarding the purpose or motive of the child. Rather, the disruptive behavior is described with a minimum of inference, noting the setting, frequency, intensity, and duration of the behavior. After describing the behavior, the team determines the functions of the behavior, systematically generating hypotheses about the multiple causes of the behavior. Then the team develops an intervention plan, selecting interventions with demonstrated treatment validity. After this, the plan is implemented correctly; that is, with treatment integrity. Finally, the entire intervention plan is critically evaluated and modified as needed. This process is facilitated using the forms included with this article. (Click HERE to view Figures 1 to 6. Viewing requires Acrobat Reader. Click HERE to download Acrobat Reader.) Determining what assessment data to collect is the first step. Figure 1 shows some of the types of data that can be collected including observation, student interview, teacher interview, parent interview, rating scales, and normative testing. Each type of data considered should be noted on the form. Not all assessment methods are necessary for all students. A case manager should be assigned to each child in which FBA is being conducted and that person should be responsible for determining what data to collect and who should collect it. This list of potential sources of data is somewhat different from those recommended in a strictly behavioral approach to data collection, which typically includes gathering information from people who know the child, collecting direct observation data, and conducting controlled manipulations of antecedents and consequences (Flannery et al., 1995). The present approach includes indirect assessment of proximal and distal causes through student interviewing and formal testing and de-emphasizes the role of experimental manipulation. Simplifying assessment has been addressed by Iwata (1994), indicating that "nonexperimental methodologies have sufficient reliability and validity to be valuable most of the time" (p. 415). With respect to formal observation, the people with first hand experience with the child may already have valuable direct observation information (Sarfan & Sarfan, 1996). In most cases it is indicated to augment teacher observation with more structured approaches. This, however, is not always absolutely necessary. As Iwata (1994) stated, "many of us have found that parents, teachers, and other caregivers sometimes can describe the functional characteristics of a client's behavior problem with uncanny accuracy" (p. 414). Figure 1 shows the first page of the FBA, entitled "Description." The data reported in this section are similar to most behavioral models of describing problem behavior. In addition to the typical topographical description of behavior, the team describes previous interventions and the educational impact of the problem behavior. Identifying previous interventions is important for several reasons. First, in most cases the team should not rush to conduct an FBA and develop intervention plans before less formal attempts to modify the behavior have been attempted unless, of course, an FBA is mandated by law. Second, one should not repeat failed interventions. At the least, one should significantly modify and correct whatever made previous interventions fail. Finally, if there is an intervention already implemented that is having some success it should be continued. Typically, interventions that are implemented prior to the FBA meeting are implemented by teachers on their own in the classroom (Sarfan & Sarfan, 1996). Educational impact is included on the form because P.L. 105-17 states that educators must consider FBA when a problem behavior impedes a child's learning or that of others; therefore, the educational impact must be determined. Typically, it is easy to link the disruptive behavior to decreased time on academic assignments simply by documenting the amount of administrator time spent managing the behavior and examination of the student's grades. In cases where there are multiple problem behaviors that appear functionally distinct from each other the team should conduct an FBA for each behavior. Team members should keep in mind that behaviors often cluster, and avoid the temptation to separate behaviors that serve the same function. It can be seen in this simple example that repeatedly walking to the pencil sharpener and asking to use the restroom are elements of off-task behavior, with a common function such as math avoidance. In cases of multiple distinct behaviors there still should only be one behavior intervention plan (BIP), because even though the behaviors are distinct there may be some interventions that affect the functions of more than one problem behavior. Figures 4, 5, and 6 present an example of the current approach to FBA and behavior intervention planning. Figure 4 exemplifies the outcome of the behavioral description phase for an FBA. At this point, the team must consider the functions of the behavior described. The team should refer to Haynes and O'Brien's (1990) definition of functional analysis provided above to activate the group process and focus on the salient aspects of potential causes. Figure 2 shows the second page of the FBA, entitled "Function." There are at least eight different categories of functions that the team should consider. This list obviously is not exhaustive, but represents a manageable set of potential functions from a variety of theoretical positions. With each function there are descriptors to help guide the team's thinking. The areas to consider are affective regulation/emotional reactivity, cognitive distortion, reinforcement, modeling, family issues, physiological/constitutional, communicate need, and curriculum/instruction. Fully understanding these areas will require team members to have different areas of expertise. It is expected that the school psychologist and counselor will have expertise in the more clinical functions; social workers and state agency representatives will have expertise regarding systemic functions; and teachers and administrators will have expertise in educational functions (Cosden & Semmel, 1992). As school teams become more cohesive and experienced, each team member will contribute more to all areas of potential function. Figure 5 exemplifies a completed examination of potential functions of the problem behavior described in Figure 4. It should be noted that hypotheses about function are probabilistic and may require modification after interventions have been tried (Cone, 1997; Haynes & O'Brien, 1990). Next, the team must determine a plan of action based on the FBA. Public Law 105-17 refers to this plan of action as a behavior intervention plan. Figure 3 depicts the behavior intervention plan form used in the current approach. The notable difference of this form from other treatment planning forms is the lack of horizontal lines keeping the intervention for a specific goal separate from all other goals and interventions. This is because the goals and interventions are related to each other in a parallel manner as described above. This concept continues in the outcome evaluation section of the form and will be described later. Based on the description of behavior and the description of functions (Figures 1 and 2) the expected outcomes and goals of the plan are itemized. Next, based on the description of the functions of behavior (Figure 2) the specific interventions are delineated. Finally, the person responsible for each intervention and the intervention review date are identified. Figure 6 shows an example of a BIP based on the problem described in Figure 4. Treatment validity is imperative for successful intervention. This means that a selected treatment is logically related to the functions of the behavior and results in achievement of expected outcomes (Reshley & Ysseldyke, 1995). The professional literature can be consulted to determine if treatments have demonstrated efficacy for the specific function. Dunlop and Childs (1996) conducted a comprehensive review of the literature on treatments selected for students with emotional disabilities based on functional analysis. It was concluded that skills training and consequence-based interventions were most frequently employed. Self-management and antecedent-based interventions were the second most commonly applied with peer mediation being the least frequently used. Results also indicated a downward trend in antecedent- and consequence-based interventions and an upward trend in skills training and self-management interventions from the periods 1980-1986 to 1987-1993. This is consistent with our recommendation that educators should transcend the purely behavioral model that has become synonymous with FBA. It should be pointed out that although Dunlop and Child's (1996) results are promising, frequency of intervention use does not necessarily provide evidence for treatment validity. Rather, research must show the actual efficacy of a treatment for a specific cause. Next, each team member responsible for a specific treatment must initiate his or her respective portion of the plan. Treatment integrity is a highly important consideration during this phase of the process (Watson, Sterling, & McDade, 1997). Treatment integrity is the degree to which an intervention is conducted correctly and consistently. To prevent treatment integrity problems team members should ask themselves if the prescribed intervention is reasonable to implement given the setting and situation. Treatment integrity also should be considered when examining the outcomes of interventions. That is, if an intervention failed, one should ask if it was implemented correctly and consistently. Treatment integrity can be increased in a number of ways. More experienced members of the team should offer support and training the first time a less experienced teacher attempts to implement a recommendation. Working side-by-side with the teacher can be helpful (Watson et al., 1997). It is important to treatment integrity to collect data other than teacher report while the intervention is being implemented. Independent data may reduce unintentional bias on the part of a teacher and it provides an excellent opportunity to conduct a brief structured behavioral observation in situ. The final phase is outcome evaluation and maintenance, discontinuance, or modification of the intervention plan. These decisions are based on data. There are several considerations about data collection in the current approach in an effort to strike a balance between reliability, validity, and practicality. First, child study teams should review only necessary and sufficient information to address the effectiveness of interventions. Experimental data collection methods with graphing in reversal designs are typically not reasonable in applied school settings. This is not to say time-series studies and reversal designs should not be applied in research to validate treatments. Rather, we assume that laborious data collection designs with time consuming record keeping tax the resources of the educators, decreasing their availability for what they see as their primary role--teaching. Second, child study teams should spend time on interventions rather than gather more assessment data than necessary. That is, if a treatment is working, it should continue. Third, review existing data such as permanent products, grade books, standardized testing, amount of work turned in, discipline reports, and teacher and parent reports before resorting to more time consuming data collection methods. Finally, conduct structured behavioral observations and student interviews as the first type of data collection when more convenient methods have proven fruitless. In the current model, when the child study team reconvenes and addresses outcomes, they do so in a holistic, rather than linear, fashion. Figure 3 depicts the place where outcome notes are taken and Figure 6 shows an example of outcomes based on the problem described in Figure 4. The plan can be considered as a whole or different goals can be examined individually. This method is necessary because of the parallel process used to link goals and interventions. For example, an intervention may be working for Goal 1 and not for Goal 2. If the intervention was linearly linked to Goal 2 and the intervention was discontinued because it did not work for that goal, the benefits to Goal 1 would be lost. Also, it is assumed that the team will take narrative notes in the outcome evaluation section to make the BIP more useful to readers who are not part of the team. Often the informal comments about an intervention clarify how and why the intervention is or is not working.
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Jeffrey A. Miller, Ph.D., is an assistant professor of school psychology with Duquesne University. His research interests include functional behavioral assessment and interactional factors that contribute to the development of internalizing emotional disorders in children. Dr. Miller can be reached via e-mail at millerjeff@duq.edu. Michael Tansy, Ph.D., is a practicing school psychologist and district consultant with the Gilbert School District, Gilbert, AZ. His research interests include functional behavioral assessment and the treatment of emotional problems in school-aged children. Dr. Tansy can be reached via e-mail at mtansy@aol.com. Tammy L. Hughes, M.A., is a doctoral candidate in school psychology with Arizona State University. Her research interests include prediction of violence in school-aged children and diagnosis of learning difficulties in preschool children. Ms. Hughes can be reached via e-mail at tammy.hughes@asu.edu.
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