Using the Performance Diagnostic Checklist‐Human Services to assess and increase teacher token delivery

Hoffmann et al. (2024) asked why some teachers hand out almost no tokens during class. They ran the Performance Diagnostic Checklist-Human Services with each teacher. The checklist is a 20-minute interview that sorts the problem into four buckets: training, resources, motivation, or cues. After the chat, the researchers picked one fix that matched the bucket. They then tracked token delivery across several classrooms using a multiple-baseline design.

Token rates stayed flat during baseline. The moment each teacher started the PDC-HS-indicated fix, their token delivery jumped. The change was immediate and clear for every participant. No other parts of the lesson plan were altered. The checklist alone pointed to the winning strategy.

Wilder et al. (2018) first showed that PDC-HS-indicated beats out non-indicated fixes in clinic settings. Hoffmann moves that same logic into classrooms. Guercio et al. (2023) used the tool to lift data-collection accuracy in group homes; Hoffmann now shows it works for token economies with teachers. Merritt et al. (2019) cut staff tardiness with a PDC-HS token package in an autism school. The new study keeps the token angle but targets active teaching behavior instead of arrival time. Together, these papers form a chain: wherever staff performance lags, a quick PDC-HS interview plus its chosen package can turn things around.

You no longer have to guess why a teacher’s reinforcement rate is low. Run the PDC-HS at your next consultation. In twenty minutes you will know if the fix is training, feedback, tokens for the teacher, or simple task clarification. Apply only that piece and watch token delivery climb. Less guesswork, faster results, happier kids.