On the Complexity of Correlating a Graduate Program's Experiences with the Success of its Graduates: a Response to Dixon et al. (2015).
Stop judging ABA grad programs by faculty publication counts; demand evidence that students master skills and serve clients well.
01Research in Context
What this study did
Austin et al. (2015) wrote a reply to Dixon et al. They said counting faculty papers is a weak way to rank ABA grad programs.
The authors asked for broader yardsticks. They want metrics that track how well students learn and later serve clients.
What they found
The paper found no new data. It found a flaw: using only publication totals hides program strengths like good mentoring or strong fieldwork.
In short, faculty with few papers can still train great BCBAs.
How this fits with other research
Detrich (2015) published the same critique months later. Both papers reject the "more papers equals better program" rule.
Pitchford et al. (2019) widened the argument. They warn against any single metric in cross-field talks, not just grad school ranks.
Mammarella et al. (2022) give a concrete example. Their survey shows prior ID coursework boosts student confidence, proving that real training experiences matter more than faculty CV lines.
Why it matters
If you sit on a hiring or program review board, look past publication counts. Ask for data on student pass rates, supervisor ratings, and client outcomes. Push your own program to track these learner-centered metrics and share them publicly.
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02At a glance
03Original abstract
Dixon et al. Behavior Analysis in Practice 8:7-15, 2015 evaluated the scholarly productivity of instructors in graduate-level, behavior-analytic training environments as a potential quality metric related to practitioner training. In our reply, we discuss the authors' premise and methodology, suggest alternative conceptualizations, and recommend a more comprehensive and germane approach to the task.
Behavior analysis in practice, 2015 · doi:10.1037/0735-7028.15.3.417