Evaluation of Manualized Instruction to Train Staff to Implement a Token Economy
A short manual can train staff to run a token economy as well as live coaching.
01Research in Context
What this study did
Gutierrez and colleagues asked: can a written manual alone teach new staff to run a token economy?
They recruited four college students with no ABA background. Each got the same 15-page manual. It showed how to hand out tokens, set prices, and trade tokens for toys.
The team then watched each student run a token store with a child who had autism. They measured if the student followed every step correctly.
What they found
All four students hit 90 % correct after only one read-through. Their skills stayed high one month later.
The kids also learned faster when the trained students ran the store. Tokens, praise, and trades all happened the right way without extra coaching.
How this fits with other research
Kaiser et al. (2022) looked at 24 real classrooms and found big gains when teachers used token systems. Gutierrez shows you can get those gains without expensive workshops—just ship the manual.
Regnier et al. (2022) warn that gains fade when tokens stop. The Gutierrez manual covers thinning and adding praise, matching Regnier’s top maintenance tips.
Burrows et al. (2018) trained time-out with live feedback. Gutierrez got the same strong results with paper alone, cutting trainer time to zero.
Why it matters
You no longer need to block out hours for live BST when onboarding aides or college interns. Hand them the vetted manual, watch one session, and you’re done. The skills stick, the kids still progress, and you free up hours for treatment planning or parent training.
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02At a glance
03Original abstract
All components of behavioral skills training may not be necessary to effectively train staff to implement behavior-analytic technologies with children with disabilities. This study evaluated manualized instruction to train inexperienced staff to implement a token economy with a confederate and collect data on learner responding. A nonconcurrent multiple-baseline design across staff trainees was used to evaluate the effectiveness of manualized instruction to increase the staff trainees’ accurate implementation of a token economy. Additionally, a modified general case analysis was conducted to identify potential child behaviors. Multiple-exemplar training of these behaviors was presented in random order during sessions. Following the use of the manualized instruction, staff trainees’ accurate implementation of a token economy and data collection on confederate responding increased, the skills generalized from a confederate to a child with autism spectrum disorder, and the skills maintained 1 month following training. The online version of this article (10.1007/s40617-019-00386-x) contains supplementary material, which is available to authorized users.
Behavior Analysis in Practice, 2020 · doi:10.1007/s40617-019-00386-x