Everything you need, all in one place.
X
CLINICAL
Clinical care delivery and outcomes, mastered.
Modern mobile app
Real-time data syncing
Automated graphing
Flexible programming
Advanced automation
Custom session notes
Extensive target types
Create custom prompts
Collect signatures on mobile
Auto-summarize session data
Adjustable graph annotations
Auto-record geolocations
Integrated session notes
Custom goal labels
Graphs by team member
Custom ABC data
Offline capables
Easy access to program instructions
Learn More
PRACTICE MANAGEMENT
Your practice, managed with ease.
Actionable scheduling workflows
Intuitive session matching
Integrated claim submission
Seamless payment tracking
Secure document storage
Reporting and analytics
Automated coding rules
Comprehensive fee schedules
Flexible modifier rules
Nationwide payer search
Authorization tracking
Various schedule displays
Availability tracking
Team timesheets
Supervision tools
Custom document permissions
Track team member certifications
Simple client intake
Learn More

Whole Interval Recording in ABA: Formula, Example & Limits

Published on
October 5, 2026

“Staying engaged” through a 20-minute work session is hard to judge. A learner can look busy most of the time and still drift off in ways nobody writes down.

Whole interval recording in Applied Behavior Analysis (ABA) puts a number on it. A “yes” gets recorded for every interval when the target behavior lasted the entire time. The final score reflects the minimum share of the session that the behavior held steady.

Here's how to set it up and score it, and when to choose this approach over the other interval methods.

What is whole interval recording in ABA?

Whole interval recording is a discontinuous measurement method that counts a behavior only if it happens for an entire, set interval.

You split a session into equal chunks, such as 1-minute or 3-minute intervals. The behavior technician marks each interval “yes” when the behavior is present from start to finish.

Whole interval recording sets a strict standard: one break in the behavior, even a brief pause, and the entire interval gets marked as a non-occurrence.

That strictness works in a clinic's favor: it gives clinical directors and Board Certified Behavior Analysts (BCBAs) a built-in lower bound on how much of the session was taken up by the behavior. This is useful for behaviors that should hold steady, like staying seated.

Clinics often pair whole interval recording with other interval data collection methods, always matching the method to the behavior being tracked.

How whole interval recording works

Whole interval recording follows the same essential steps in every setting:

  1. Define the target behavior clearly: Everyone collecting data needs the same working definition, to make sure that interobserver agreement (how closely two observers' data match) is high and reporting is reliable.
  2. Pick an interval length: Shorter intervals tend to produce more accurate data.
  3. Divide the session into equal intervals: Below, we’ll describe a 10-minute activity with 1-minute intervals.
  4. Observe throughout each interval: Score “yes” only if the behavior holds from the opening second to the closing one.
  5. Calculate the percentage: Divide the “yes” intervals by the total intervals, then multiply the result by 100.

Example: A Registered Behavior Technician (RBT) sets out to measure on-task behavior during a 10-minute math activity. The learner works steadily for eight full intervals but glances away during two. Those intervals get marked “no,” giving a final score of 80% on-task behavior.

Whole interval recording vs. partial interval recording and momentary time sampling

When a learner’s behavior can't be tracked continuously, ABA relies on time sampling: recording behavior in set windows. 

There are three main forms of this standard measurement method: whole interval recording, partial interval recording, and momentary time sampling.

Method Behavior is counted when It tends to
Whole interval recording It happens for the entire interval Underestimate occurrence
Partial interval recording It occurs at any point in the interval Overestimate occurrence
Momentary time sampling It's happening at the end of the interval Balance out over time

Partial interval recording flips whole interval recording's rule: if there’s any occurrence, even a split second, the whole interval gets counted. This makes it a better fit for challenging behaviors you want to decrease.

Momentary time sampling only checks in at one moment per interval, which makes it easier to run but less sensitive to short bursts of behavior.

Across sessions, these methods drift from the true rate of behavior. Whole interval recording tends to run low, partial interval recording runs high, and momentary time sampling is the most nearly accurate, when checked against continuous recording.

When to use whole interval recording

This method fits best for behaviors that should be continuous and that you're trying to increase. Examples include staying on task, playing appropriately with a toy, or attending to instruction.

It's not a good fit for brief behaviors or those that happen in bursts, like repetitive sounds (vocal stereotypy) or movements (hand flapping, for example).

Because whole interval recording can only register behaviors that last as long as an interval, quick behaviors get missed entirely, and your data collection can understate how often they're really happening.

On the other hand, when you're building up a behavior, whole interval recording keeps you from overstating progress. But if you're trying to reduce a behavior, partial interval recording usually tells you more.

Advantages and limitations of whole interval recording

A key advantage of whole interval recording is that scoring only needs a “yes” or “no” per interval, which requires less effort from RBTs than counting or timing every instance.

It also gives a clear, conservative estimate of sustained engagement. This is useful when you need to show progress on sustaining the behavior.

As for the limitations: whole interval recording consistently underreports the behavior, since a single, brief break discounts the entire interval.

Interval length makes a big difference, too: shorter intervals generally give more accurate interval data. Research on partial interval recording and momentary time sampling found the closest match to continuous recording at 3 minutes or less per interval, and the same logic applies here. The longer the interval, the more extended the gap in reporting.

Because of these discrepancies, it’s best to switch to continuous measurement when precision is critical, such as ahead of reauthorization.

Track whole interval recording with Passage Health

Whole interval data is only as good as your team’s timing. Lose a few seconds at an interval boundary, and the “no” you’ve recorded might have been a “yes.”

Passage Health combines clinical data collection, scheduling, and billing into one system, so your practice can document and analyze sessions without having to switch between multiple tools or re-enter data.

For a team running whole interval recording, that includes:

  • Mobile app data collection: Record each interval and add a note straight from a phone or tablet during the session, with all your data syncing in real time. Program timers to start timing intervals automatically when the session begins.
  • Customizable graphs and treatment reports: Interval percentages chart automatically for review, and that same data is ready for reauthorization documentation.
  • Electronic billing: Session notes convert into claims, with expired funding sources filtered out automatically.
  • Scheduling and intake: Our Client Intake feature organizes your leads right from the first inquiry, and our color-coded calendars make assignments and reassignments simple. See your team’s whole day at a glance, or filter by certification, billing code, or care team. 
  • Reporting and insights: Viewing utilization and performance data across your clinic's caseload makes it easier to spot where interval data collection is (and isn’t) running smoothly.

We keep the Passage Health interface simple and intuitive to learn, even as we add new features every quarter. Practices get 1:1 onboarding from a team that stays supportive, as well as built-in integration with Frontera AI for clinical AI tools.

Book a demo to see how Passage Health can make whole interval recording accurate and easy to review, from the first timer to the final report.

Frequently asked questions

What does whole interval recording mean in ABA?

Whole interval recording is an ABA measurement technique. The session is divided into equal intervals, and an interval is marked “yes” when the target behavior continues for the full length of that interval. A single pause, even a short one, means the interval doesn't count.

Does whole interval recording overestimate or underestimate behavior?

Whole interval recording tends to underestimate how often a behavior occurs, since it only counts behavior that’s completely continuous. If the behavior only happened for 90% of an interval, that interval gets discounted.

How long should intervals be for whole interval recording?

There's no hard rule, but 3 minutes or less is a sensible ceiling. Studies of other interval methods found the best results in that range, and a shorter window gives a brief lapse less chance to discount a whole interval. The trade-off is that shorter intervals demand more from the observer.

Is whole interval recording a type of continuous or discontinuous measurement?

Whole interval recording is a type of discontinuous measurement, since it samples specific windows of time instead of tracking behavior continuously. Continuous measurement counts or times every instance of a behavior, while whole interval recording turns each interval into a single “yes” or “no.”

References

King, S., Rodgers, D., & Enders, O. (2025). Partial-interval recording and estimates of duration in meta-analyses: Insights from self-monitoring research. Journal of Behavioral Education. https://doi.org/10.1007/s10864-025-09595-7 

LeBlanc, L. A., Lund, C., Kooken, C., et al. (2020). Procedures and accuracy of discontinuous measurement of problem behavior in common practice of applied behavior analysis. Behavior Analysis in Practice, 13(2), 411–420. https://doi.org/10.1007/s40617-019-00361-6 

Powell, J., Martindale, A., & Kulp, S. (1975). An evaluation of time-sample measures of behavior. Journal of Applied Behavior Analysis, 8(4), 463–469. https://doi.org/10.1901/jaba.1975.8-463 

Share this post
Copied to Clipboard