Data Collection and Analysis Flashcards
7 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 7 Data Collection and Analysis flashcards as text
A therapist records how long a child engages in self-stimulatory behavior during each session. This is an example of:
Answer: Duration recording
Duration recording captures the total amount of time a behavior occurs, making it suitable for continuous behaviors like self-stimulation.
Which visual analysis criterion refers to the average level of data points within a phase?
Answer: Level
Level refers to the mean or median value of data within a condition, reflecting the overall magnitude of responding.
In a reversal (ABA) design, why is returning to baseline (the second A phase) important for data analysis?
Answer: It demonstrates experimental control by showing behavior reverts without the intervention
The second baseline phase demonstrates that behavior changes were caused by the intervention, not extraneous variables, establishing experimental control.
A behavior analyst divides a 10-minute session into 30-second intervals and records whether the target behavior occurred at least once per interval. This is:
Answer: Partial-interval recording
Partial-interval recording scores an interval as positive if the behavior occurs at any point during the interval, regardless of duration or frequency.
When comparing two phases in a graph, 'percentage of non-overlapping data' (PND) is used to:
Answer: Estimate the treatment effect size
PND quantifies treatment effectiveness by calculating the percentage of intervention data points that exceed the highest baseline data point.
Which of the following is a disadvantage of momentary time sampling?
Answer: It may miss brief behaviors that do not occur at the exact moment of observation
Momentary time sampling only records behavior at the instant the interval ends, so brief behaviors occurring between observation points will not be captured.
A graph shows high variability throughout both baseline and intervention phases with no clear trend. The analyst should:
Answer: Continue data collection to identify sources of variability before drawing conclusions
High variability obscures the effect of intervention; the analyst should investigate potential sources (e.g., setting, procedural drift) before making clinical decisions.