Fundamental Skill Sheet
High-Probability Requests
What Is It?
High-probability (high-p) requests are a sequence of requests to which a student is highly likely to respond. High-p requests are made before the teacher provides a low-probability (low-p) request—one with which a student infrequently or never responds—to promote student compliance for a target behavior.
What Do We Know About This Skill/Practice?
- High-probability requests can be used in both general and special education settings.
- This strategy operates on the assumption that students are more likely to comply with teacher directives if they are already engaged in compliant classroom behavior.
- High-p requests can be used to proactively reduce the likelihood that problem behavior will occur.
- High-p requests can be used to increase compliance with low-probability requests for a range of students, including those with developmental disabilities, autism, or emotional or behavioral disorder (EBD).
- Teachers can implement this strategy to address a range of situations and behaviors, including:
- Completion of academic work
- Initiation of appropriate social interaction
- Compliance with teacher instructions
- Challenging behavior during transitions
Procedures
- Identify a frequent problem behavior. Consider instructional or behavioral requests with which a student infrequently (i.e., less than 40% of the time) or never complies.
- Create a list of high-p requests. Identify three to five high-probability requests—those with which students comply 80% to 100% of the time—that relate to the context of the low-p request (i.e., problem behavior).
- Deliver a request sequence. To encourage a student to comply with a low-p request:
- Give three to five high-probability requests in quick succession (i.e., with five seconds or less between each request and the student’s compliance).
- Provide brief, verbal praise after the completion of each high-p request.
- Give a low-p request and immediately praise the student when he complies.
Tips for Implementation
- Provide each high-p request within five seconds of the completion of the prior request and the low-p request within five seconds of the last high-p request.
- Make sure each high-p request in the sequence relates directly to the low-p request. For example, a high-p request like “Touch your nose” might be appropriate to help a student start the momentum necessary to put on his coat (low-p request). However, this same high-p request might not be appropriate to encourage a student to complete multiplication problems (low-p request).
- When developing a sequence of high-p requests, consider the student’s age and developmental level.
- Create a pool of high-p requests to avoid repeating the same high-p sequence.
Things to Keep in Mind
- High-p requests are particularly beneficial for students who engage in problem behaviors to escape from or avoid a task or activity.
- High-p requests should be appropriate for the student’s age, developmental level, and skill sets.
- All requests, whether high-p or low-p, must be requests that students are capable of completing independently. Because of this, the lists of high-p and low-p requests that teachers create will vary from student to student.
- For some students, verbal praise in response to compliance with high-p requests may not be sufficient. Instead, these students may need to be given a tangible reinforcer (e.g., a sticker, preferred item, token) following compliance, which should be faded over time.
- Once a student has begun to comply with a low-p request at an acceptable rate, the teacher should begin to reduce the ratio of high-p to low-p requests (i.e., fade over time). For example, if the teacher starts by issuing four high-p requests before each low-p request, she should reduce that over time until no high-p request is required to achieve compliance.
Implementation Examples
The table below provides examples of high-p request sequences that teachers could use to encourage students to comply with the target behaviors. Note how the high-p requests in each example relate directly to the low-p request.
| Problem/Target Behavior | Request Sequence |
|
Problem behavior: Emily refuses to put on her coat before going out for recess. Target behavior: Putting on coat |
High-p requests
Low-p request
|
|
Problem behavior: Josiah typically refuses to come to the carpet during group instruction when asked. Target behavior: Sit on carpet for group instruction |
High-p requests
Low-p request
|
|
Problem behavior: Raheim has great difficulty beginning math instruction after lunch. Target behavior: Open digital textbook |
High-p requests
Low-p request
|
Elementary Video Example

High School Video Example
In the video below, Mrs. Ward wants to use high-p requests to encourage Virginia to begin her independent writing assignment. Note the procedures Mrs. Ward uses to implement high-p requests in the example and where her delivery falls short in the non-example.
Transcript: High-Probability Requests (High School Example and Non-example)
Narrator: High-probability requests, high school example and non-example. During English class, Virginia often engages in off-task behavior and refuses to comply with instructional requests. In this example, Mrs. Ward effectively delivers a series of high-probability, or high-p, requests followed by a low-probability, or low-p, request to increase Virginia’s compliance.
Mrs. Ward: Take your paper out. Items on the table, and you’re going to see a picture of a shoe. Your assignment is to think about who the owner of that shoe might be and what might be happening in their life based on the shoe. Go ahead and start writing down your first impressions that you see.
Hey, Virginia, can you take out your materials, your writing materials, and get them organized? That would be your notebook, your paper, and your shoe picture.
Great! Wonderful! Can you put your name at the top of the paper? Thank you so much. You got that done so quickly. Can you pull three words that you think of when you see that picture?
Yeah, absolutely. Sloppy. So now you are ready to go. Go ahead and start writing. Who do you think the owner of the shoe is, and what do you think is happening in that perspective? Okay, good job.
Narrator: To review, the teacher correctly implemented high-p requests. She delivered a series of three high-p requests in quick succession, offered brief verbal praise after the completion of each high-p request, and immediately praised the student after she complied with the low-p request.
High school non-example
Narrator: In this non-example, pay attention to how Mrs. Ward only gives one high-p request to Virginia before delivering a low-p request. Note how this affects Virginia’s compliance.
Mrs. Ward: Take your paper out. Items on the table, and you’re going to see a picture of a shoe. Your assignment is to think about who the owner of that shoe might be and what might be happening in their life based on the shoe. Go ahead and start writing down your first impressions that you see.
Hey, Virginia, can you get your materials organized for writing? You’ll need your journal, your pencil, and your paper.
Great job. Thanks so much. You’re ready to go, I think. Go ahead and start on the assignment.
Narrator: To review, the teacher attempted to implement high-p requests but was unsuccessful because she delivered only one high-p request instead of three to five and moved on to another task before making sure the student complied with the low-p request.
Axelrod, M. I., & Zank, A. J. (2012). Increasing classroom compliance: Using a high-probability command sequence with noncompliant students. Journal of Behavioral Education, 21, 119–133.
Banda, D. R., & Kubina Jr., R. M. (2006). The effects of a high-probability request sequencing technique in enhancing transition behaviors. Education and Treatment of Children, 29, 507–516.
Banda, D. R., & Kubina Jr., R. M. (2009). Increasing academic compliance with mathematics tasks using the high-preference strategy with a student with autism. Preventing School Failure: Alternative Education for Children and Youth, 54, 81–85.
Belfiore, P. J., Basile, S. P., & Lee, D. L. (2008). Using a high probability command sequence to increase classroom compliance: The role of behavioral momentum. Journal of Behavioral Education, 17, 160–171.
Cowan, R. J., Abel, L., & Candel, L. (2017). A meta-analysis of single-subject research on behavioral momentum to enhance success in students with autism. Journal of Autism and Developmental Disorders, 47, 1464–1477.
Davis, C. A., Brady, M. P., Hamilton, R., McEvoy, M. A., & Williams, R. 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.
Davis, C. A., Reichle, J. E., & Southard, K. L. (2000). High-probability requests and a preferred item as a distractor: Increasing successful transitions in children with behavior problems. Education and Treatment of Children, 23, 423–440.
Mace, F. C., Hock, M. L., Lalli, J. S., West, B. J., Belfiore, P., Pinter, E., & Brown, D. K. (1988). Behavioral momentum in the treatment of noncompliance. Journal of Applied Behavior Analysis, 21, 123–141.
Nevin, J. A., Mandell, C., & Atak, J. R. (1983). The analysis of behavioral momentum. Journal of the Experimental Analysis of Behavior, 39, 49–59.
Nevin, J. A., & Shahan, T. A. (2011). Behavioral momentum theory: Equations and applications. Journal of Applied Behavior Analysis, 44, 877–895.
Zuluaga, C. A., & Normand, M. P. (2008). An evaluation of the high-probability instruction sequence with and without programmed reinforcement for compliance with high-probability instructions. Journal of Applied Behavior Analysis, 41, 453–457.
About the Author
Caitlyn Majeika is a former special education resource teacher for students in elementary and middle school. Currently, Caitlyn is a PhD student in the Special Education Department of Peabody College, Vanderbilt University. Her research focuses on using principles of data-based decision making to enhance the implementation of behavior interventions for students who display challenging behavior in the classroom.