· David Cruz · ABA Best Practices  · 7 min read

Partial vs Whole Interval Recording - When to Use Each Method

Learn when to use partial interval for behavior reduction vs whole interval for behavior increase. Practical examples and decision framework.

Learn when to use partial interval for behavior reduction vs whole interval for behavior increase. Practical examples and decision framework.

Key Takeaways

Partial interval and whole interval recording are both time-sampling methods, but they serve opposite clinical purposes. Use partial interval recording for behaviors you want to decrease because it overestimates occurrence. Use whole interval recording for behaviors you want to increase because it underestimates occurrence. This conservative approach ensures you can trust your data when making clinical decisions.


Interval recording is one of the most practical tools in a behavior analyst’s toolkit. When behaviors occur too rapidly to count or when sustained engagement matters more than frequency, interval recording gives you clinically meaningful data without overwhelming your data collectors.

But choosing the wrong interval type can undermine your entire treatment program. This guide explains when and why to use partial versus whole interval recording, with examples aligned to Cooper, Heron & Heward’s Applied Behavior Analysis framework.

If you need a refresher on when interval recording makes sense compared to frequency, duration, or latency, see our complete guide to choosing ABA recording methods.


When to Use Interval Recording

Before diving into partial versus whole, let’s establish when interval recording makes sense at all.

Use interval recording when:

  • The behavior occurs at such a high rate that counting individual instances becomes impractical (scripting, stereotypy)
  • You need to measure sustained occurrence over time rather than discrete instances
  • Multiple observers need a standardized, efficient method
  • You want to capture a representative sample rather than exhaustive data

Consider alternatives when:

  • Behaviors have clear starts and ends and occur at countable rates - use frequency
  • The exact duration matters clinically - use duration recording
  • Response time to instructions matters - use latency recording
  • You’re conducting structured teaching trials - use percent correct

Interval recording trades precision for practicality. You sacrifice knowing exactly how many times or how long behavior occurred, but you gain a reliable estimate that multiple observers can collect consistently.


Partial Interval Recording

How It Works

Divide your observation period into equal intervals. For each interval, mark “yes” if the behavior occurred at any point during that interval, even briefly. Mark “no” only if the behavior never occurred.

Example with 15-second intervals:

You observe a student for 5 minutes (20 intervals) during independent work. In interval 3, the student engages in vocal stereotypy for 2 seconds. You mark that interval as “yes” because the behavior occurred at some point during those 15 seconds.

At the end of your observation, you might have 14 of 20 intervals marked “yes,” giving you 70% of intervals with stereotypy.

The Critical Characteristic: Overestimation

Partial interval recording overestimates the actual occurrence of behavior.

Consider: A 2-second occurrence in a 15-second interval scores the same “yes” as 15 full seconds of behavior. If a student scripted for just 2 seconds in each of 14 intervals, partial interval would report 70% - even though the actual behavior occupied less than 10% of the observation period.

This overestimation is a feature, not a bug, when used correctly.

When to Use Partial Interval

Use partial interval for behaviors you want to decrease:

  • Vocal stereotypy and scripting
  • Off-task behavior
  • Inappropriate vocalizations
  • High-rate self-injurious behavior (SIB)
  • Disruptive classroom behavior

Why it works for reduction goals:

When you’re trying to decrease a behavior, you want to be conservative about claiming success. If partial interval shows a decrease from 80% to 40%, you can be confident that actual behavior decreased - probably by more than your data suggests.

This prevents the clinical error of weakening an effective intervention based on artificially inflated improvement.


Whole Interval Recording

How It Works

Divide your observation period into equal intervals. For each interval, mark “yes” only if the behavior occurred continuously throughout the entire interval. Any interruption, even briefly, scores a “no.”

Example with 15-second intervals:

You observe a student for 5 minutes (20 intervals) during independent work, measuring on-task behavior. In interval 3, the student works independently for 14 seconds, then looks around the room for 1 second. You mark that interval as “no” because the behavior did not occur for the entire duration.

At the end of your observation, you might have 12 of 20 intervals marked “yes,” giving you 60% of intervals with sustained on-task behavior.

The Critical Characteristic: Underestimation

Whole interval recording underestimates the actual occurrence of behavior.

Consider: A student on-task for 14.9 of 15 seconds scores “no” for that interval. If the student was genuinely engaged for 95% of the observation but had brief attention lapses, whole interval might report only 60% - significantly lower than reality.

Like partial interval’s overestimation, this underestimation becomes valuable when matched to the right clinical goal.

When to Use Whole Interval

Use whole interval for behaviors you want to increase:

  • On-task behavior during instruction
  • Sustained engagement with materials
  • Appropriate play skills
  • Seated behavior during group activities
  • Attending to instructor

Why it works for increase goals:

When you’re building a skill or increasing desirable behavior, you want to be conservative about claiming success. If whole interval shows an increase from 30% to 70%, you can be confident the student is genuinely sustaining the behavior longer - likely even more than your data suggests.

This prevents the clinical error of fading support too quickly based on artificially inflated progress.

For implementation details, see our complete whole interval guide.


Decision Framework: Which to Choose

The choice between partial and whole interval comes down to one question: What is your treatment goal?

Behavior Reduction = Partial Interval

ScenarioWhy Partial Works
Reducing stereotypyOverestimation means you won’t prematurely celebrate reduction
Decreasing off-task behaviorConservative estimate protects against weakening effective interventions
Targeting disruptive vocalizationsIf data shows decrease, you know behavior truly decreased

Behavior Increase = Whole Interval

ScenarioWhy Whole Works
Building on-task behaviorUnderestimation means improvement reflects genuine sustained engagement
Increasing independent playConservative estimate prevents premature fading of supports
Developing attending skillsIf data shows increase, you know student truly maintained behavior

The Conservative Principle

Cooper, Heron & Heward emphasize that good measurement is conservative about claiming treatment effects. Both interval types achieve this - but only when matched to the correct goal.

The mistake to avoid: Using whole interval for behavior reduction (makes decreases look more dramatic than reality) or partial interval for behavior increase (makes increases look more dramatic than reality).


Practical Implementation Tips

Choosing Interval Length

Start with 15-second intervals for most applications. Adjust based on behavior characteristics:

  • Shorter intervals (10-15 seconds): Higher precision, more sensitive to brief behaviors, but more cognitively demanding
  • Longer intervals (30-60 seconds): Less demanding on observers, but less sensitive to change

Training Your Team

  1. Operationally define the target behavior before starting. Everyone must agree on what counts as “occurring.”
  2. Practice with video samples until observers achieve at least 80% inter-observer agreement (IOA).
  3. Conduct regular IOA checks during treatment to ensure measurement integrity.

Common Errors to Avoid

  • Switching methods mid-program: You cannot compare partial interval data to whole interval data. Choose one and maintain consistency.
  • Using the wrong type for your goal: Review the decision framework above before setting up your data system.
  • Intervals too long for high-rate behaviors: If behavior occurs multiple times per interval, you lose sensitivity to change.

How TallyFlex Automates Interval Recording

Traditional interval recording requires juggling multiple tasks: watching the student, managing a timer, remembering which interval you’re on, and marking results. This cognitive load can interfere with teaching and interaction.

TallyFlex simplifies this with an inverse approach:

For whole interval: Tap once to start tracking. The app automatically marks each interval as sustained unless you tap to indicate behavior stopped. You focus on the student, not the timer.

For partial interval: Tap when behavior occurs. The app handles interval timing and counting automatically.

Both methods support configurable interval lengths, automatic timestamping, and real-time percentage calculations. Your team collects consistent data while staying engaged in the session.

See our interval recording documentation for implementation details.


Summary

Partial and whole interval recording answer different clinical questions:

  • Partial interval tells you whether behavior occurred at all during intervals - use it for behaviors you want to decrease.
  • Whole interval tells you whether behavior was sustained throughout intervals - use it for behaviors you want to increase.

Both methods sacrifice precision for practicality, but when matched to the correct treatment goal, they provide the conservative estimates that support sound clinical decisions.

The key is matching the method to the goal: decrease behaviors with partial interval, increase behaviors with whole interval. Get this right, and you can trust your data when it matters most.


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