Application of Abductive Reasoning in Synthesized Contingency Assessments

Parthum et al. (2025) added abductive reasoning to a synthesized contingency analysis. They ran three blended test conditions instead of the usual one.

The team asked, 'Which single function best explains all the data?' for each participant. They wanted a faster way to pin down the real reinforcer.

Only one of three cases ended up with a clear, single function. The other two stayed muddy, just like a standard FA.

In short, the extra logic helped once and left two teams still guessing.

Jessel et al. (2016) got 80% clarity in 30 cases using an interview-informed SCA without any abductive parsing. Their quick, parent-told-you-so method worked most of the time.

Parthum’s 2025 tweak adds extra reasoning steps yet drops the interview. The lower hit rate looks like a step backward, but the methods differ. Jessel used parent input; Parthum used pure deduction across three test pockets.

McSweeney et al. (2000) showed that simply withholding the reinforcer across behaviors can also isolate one function. Their extinction sequence is another low-tech rival worth trying before adding abductive layers.

If you already run interview-informed SCAs, this paper says you can skip the extra abductive math for now. When time is short, start with caregiver questions and one synthesized test condition. Save the multi-layer reasoning for the tricky cases where the first pass fails.