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Data Collection and Analysis Flashcards

6 cards from real ABAT practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 6 Data Collection and Analysis flashcards as text
  1. A BT records that a learner completed 18 of 20 trials correctly during a discrete trial session. The percent correct is:

    Answer: 90%

    (18 ÷ 20) × 100 = 90% correct.

  2. Trend analysis in ABA refers to the overall directional change in a data path over time. A therapeutic trend for behavior reduction shows:

    Answer: A decelerating (downward) trend showing fewer occurrences over time

    For a behavior being targeted for reduction, a therapeutic trend is a downward trend indicating the behavior is decreasing over time.

  3. A student's data over the last 5 sessions shows the following on-task percentages: 60, 62, 64, 66, 68. This data path displays:

    Answer: A stable, accelerating trend (consistently increasing by ~2% per session)

    The data increases by approximately 2% per session, showing a stable, consistent upward (accelerating) trend.

  4. When calculating point-by-point IOA, you compare:

    Answer: Each individual interval score from Observer 1 with the corresponding interval score from Observer 2, then average the agreements

    Point-by-point IOA compares each interval scored by Observer 1 to the corresponding interval scored by Observer 2, calculating the percentage of intervals where both agreed.

  5. Which statement about data-based decision making in ABA is most accurate?

    Answer: Data should be reviewed regularly and used to systematically modify programs when progress is insufficient

    ABA requires ongoing data collection and regular data review to make objective, evidence-based program modifications.

  6. Scatterplots are used in behavior analysis primarily to:

    Answer: Identify temporal patterns in problem behavior to determine time-based antecedents

    Scatterplots map behavior occurrence across different time blocks, revealing whether problem behavior clusters around particular times, settings, or activities.