Trial-Based Functional Analysis Informs Treatment for Vocal Scripting.
Run more FA cycles until alone peaks, then feed noncontingent attention to crush vocal scripting.
01Research in Context
What this study did
The team ran a trial-based functional analysis on three kids who talked in repeated movie lines.
Each session had four short trials: play, demand, attention, and alone.
They repeated the cycles until the data spoke clearly.
What they found
At first the graphs looked messy.
After more rounds the alone trials stayed high — a clean sign of automatic reinforcement.
Noncontingent attention then dropped the scripting to almost zero in every child.
How this fits with other research
Morris et al. (2021) model why alone highs point to automatic reinforcement; Mandy’s data match the model.
Cox et al. (2025) show AI can forecast the next response from the same moment-to-moment data Mandy collected by hand.
Chadwick et al. (2000) used speech-recognition to reinforce new vocal sounds; Mandy flips the idea — use attention to turn off unwanted vocals.
Why it matters
If your FA graphs look unclear, run extra trial cycles instead of quitting. Once alone wins, give free attention on a fixed clock. You can cut movie-line talk to near zero without punishment or complex DRO.
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02At a glance
03Original abstract
Research on trial-based functional analysis has primarily focused on socially maintained challenging behaviors. However, procedural modifications may be necessary to clarify ambiguous assessment results. The purposes of this study were to evaluate the utility of iterative modifications to trial-based functional analysis on the identification of putative reinforcement and subsequent treatment for vocal scripting. For all participants, modifications to the trial-based functional analysis identified a primary function of automatic reinforcement. The structure of the trial-based format led to identification of social attention as an abolishing operation for vocal scripting. A noncontingent attention treatment was evaluated using withdrawal designs for each participant. This noncontingent attention treatment resulted in near zero levels of vocal scripting for all participants. Implications for research and practice are presented.
Behavior modification, 2018 · doi:10.1177/0145445517742882