Getting it right: a reply to baum.
Polish your scientific language or your matching law might be a mirage built of sloppy words.
01Research in Context
What this study did
van der Molen (2010) wrote a reply to Baum. The paper is theoretical. It questions the generalized matching law. It asks if the law truly shows cause and effect. It warns the law may come from sloppy scientific talk, not from nature.
What they found
The author argues the matching law might be a verbal artifact. That means our own scientific words could fool us. If the words are imprecise, the law looks real when it is not. The paper urges us to check our verbal behavior first.
How this fits with other research
Marr (1989) wanted more Newton-style equations for behavior. van der Molen (2010) now says those same equations can mislead if the words behind them are shaky. The two papers share a love of numbers, but the newer one adds a warning label.
Wilkie (1973) rebuilt the law of effect around correlations, not single events. van der Molen (2010) nods to such models, then asks whether any tidy equation is just a pretty sentence we have talked ourselves into believing.
Jones et al. (2010) compared two new law-of-effect models in the same year. They tweak variables to get better fit. van der Molen (2010) steps back and asks whether the whole game of model-tweaking rests on solid verbal ground. The papers do not fight; one builds models while the other inspects the foundation.
Why it matters
Before you graph another matching equation, audit the words you used to build it. Replace vague terms with clear, measurable ones. Ask a colleague to repeat your instructions back to you. If their words differ, your verbal behavior needs work. Clean talk first, clean data second.
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02At a glance
03Original abstract
In this reply to Baum, I emphasize that the failure to understand the processes associated with scientific verbal behavior may result in scientific statements like the generalized matching law that do not accurately reflect cause-and-effect relations.
The Behavior analyst, 2010 · doi:10.1007/BF03392224