The pitfalls of interval data recording and percent correct

The pitfalls of interval data recording and percent monitoring

Behavior analysts and performance engineers have a clear choice when it comes to measuring behavior. | taught by Rick Kubina
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Course description

Behavior analysts and performance engineers have a clear choice when it comes to measuring behavior. One the one hand, a full array of dimensional measures exist which capture different properties of behaviors (e.g., frequency, duration, latency). On the hand, dimensionless measures (e.g., percent) obscure critically important features of behavior and have the potential to mislead. For many years the research has demonstrated that interval recording will always overestimate or underestimate the true occurrence of behavior. The upcoming webinar will discuss the difference between measures that reflect the fundamental properties of behavior and those that do not. Also, webinar participants will engage in recording activities where they will see the significant drawbacks of interval recording and percent monitoring.



  1. Learn how to avoid leaving information on the table.
  2. Critically examine measurement practices and witness the stark contrast between frequency monitoring and percent monitoring.
  3. See how informed decision making rests on the most accurate measures available of behavior.
  4. Understand how the phrase "Better measurement leads to better outcomes" directly pertains to your practice of behavior analysis.
Rick Kubina
Rick Kubina
Ph.D, BCBA-D

Rick Kubina, Ph.D., BCBA-D, is Director of Research at CentralReach, cofounder of Chartlytics, Professor of Special Education at Penn State University, and author of The Precision Teaching Book

Rick taught special education in a private schools specializing in post acute brain trauma rehabilitation for three years. During his doctoral program, Rick worked as a graduate teaching assistant for the Great Lakes Regional Resource Center. He was the editor of the Journal of Precision Teaching and Celeration and is the author of many publications.

Course Curriculum

The pitfalls of interval data recording and percent monitoring
68:31
Webinar - The pitfalls of interval data recording and percent monitoring
Audio version of the webinar
Why most research findings are false
Earn BACB Type 2 CEU
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Reviews (2)

The pitfalls of interval data recording

by Camille Ferond
the interactive examples were great! It would be nice to have more on creative alternatives to discontinuous measures in real settings like a busy classroom & case examples probing participants for alternatives to discontinuous measures.

Another great webinar

by Monica Peters
As usual, Rick is so passionate about what he talks about. I always knew discontinuous measurements were inaccurate, I just didn't always remember the specific reasons why. This course specifically talks about the disadvantages in an easy to understand way. As Rick said, it is a huge ethical issue. We need to be able to precisely measure the target behaviors. ABA is a science. Precise measurement is what we should be advocating for! Go Chartlytics go :)

The pitfalls of interval data recording

by Camille Ferond
the interactive examples were great! It would be nice to have more on creative alternatives to discontinuous measures in real settings like a busy classroom & case examples probing participants for alternatives to discontinuous measures.

Another great webinar

by Monica Peters
As usual, Rick is so passionate about what he talks about. I always knew discontinuous measurements were inaccurate, I just didn't always remember the specific reasons why. This course specifically talks about the disadvantages in an easy to understand way. As Rick said, it is a huge ethical issue. We need to be able to precisely measure the target behaviors. ABA is a science. Precise measurement is what we should be advocating for! Go Chartlytics go :)