"Golden oldies" in a laboratory course in the experimental analysis of behavior.
Old EAB articles still work as cheap, hands-on labs—pair them with today’s core texts.
01Research in Context
What this study did
The author built an undergrad lab course around 30 classic EAB papers from the 1930s-1960s.
Students copied the exact set-ups: lever presses, key pecks, and schedules of reinforcement.
The reading list came with step-by-step lab sheets so each week students relived a "golden oldie" experiment.
What they found
The course ran, but no data on grades or learning were reported.
The paper simply shares the book list and the author’s view that old studies are still easy to read and teach from.
How this fits with other research
Frieder et al. (2018) later asked 140 faculty what undergrads should read. They still liked Skinner, but they put the Cooper textbook at the top. The 2005 list is therefore a fun add-on, not the core.
Lattal (2022) keeps the same spirit—classic experiments—but wraps them in a six-theme history tour. You get the same articles, just with richer story-telling.
Saville et al. (2002) did a similar job three years earlier, yet for graduate students and with heavier philosophy. Together the three papers form a staircase: grad philosophy → undergrad lab → updated consensus.
Why it matters
If you teach a BACB course, steal the 30-paper set list and run one lab as a demo. Students see the data pattern, feel the procedure, and remember the principle. It takes one class period and costs almost nothing.
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02At a glance
03Original abstract
A common problem in teaching undergraduate courses in the experimental analysis of behavior (EAB) is that the contemporary research literature is largely not comprehensible to most undergraduates. A suggested solution is the use of research articles from the early days of EAB. These are not only easy to understand but provide additional educational benefits. A reading list and an organizational structure for an undergraduate laboratory course in EAB are suggested.
The Behavior analyst, 2005 · doi:10.1007/BF03392104