Roger T. Kelleher, behavior analyst.
Kelleher’s 1950s schedule work still powers every modern token economy—know the curves to thin smarter.
01Research in Context
What this study did
Branch (2006) wrote a short tribute to Roger Kelleher. It sums up his key papers from the 1950s and 1960s.
The piece does not test new clients. It simply walks readers through Kelleher’s findings on conditioned reinforcement and schedule effects.
What they found
Kelleher showed that a neutral stimulus can become reinforcing if it predicts future food. This is now called a conditioned reinforcer.
He also mapped how fixed-ratio, variable-ratio, and interval schedules change response rate and pausing. These curves still appear in every BCBA textbook.
How this fits with other research
Azrin et al. (1969) put Kelleher’s ratio schedules straight into a classroom. Students with intellectual disability followed group instructions when tokens were delivered on a fixed-ratio 5 schedule. The study shows the lab work translates to real kids at desks.
Regnier et al. (2022) extends the schedule idea by adding thinning plus social praise. They found that fading the token rate while adding teacher attention keeps gains after tokens end. This builds directly on Kelleher’s early thinning data.
Kaiser et al. (2022) meta-analyzed 24 elementary token-economy studies. Large effect sizes line up with Kelleher’s claim that well-scheduled tokens are powerful. The classroom papers simply widen the scope he started.
Why it matters
If you run token systems, you are using Kelleher’s rules whether you know it or not. Review his original curves when you set exchange rates and thinning steps. Pair tokens with social praise from day one so you can fade tokens later without losing behavior.
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02At a glance
03Original abstract
Roger T. Kelleher, rightly known as one of the foremost contributors to behavioral pharmacology, also made many important contributions to the experimental analysis of behavior. He participated significantly in the development of the discipline, through both his research and his editorial contributions to thisjournal. This article summarizes his contributions to the field of behavior analysis. His most significant empirical and conceptual contributions to behavior analysis came in two domains-conditioned reinforcement and the power of schedules of reinforcement. His accomplishments in these two domains still serve as principal foundations for modern research and theory.
Journal of the experimental analysis of behavior, 2006 · doi:10.1901/jeab.2006.25-06