Strengthening the research–practice loop in applied animal behavior: Introduction to the special issue

Alligood and colleagues wrote an editorial for a special issue. They looked at how animal trainers use basic operant science. They asked why lab findings rarely get tested in real kennels, zoos, and homes.

The team did not run new experiments. Instead they mapped gaps between rat-lever studies and dog-behavior cases. They called for tighter feedback loops from field back to lab.

The authors found a broken loop. Lab discoveries stay in journals. Trainers invent fixes that never reach researchers. Both sides lose data that could help animals.

They showed that single-case designs, tiny N experiments, and daily data sheets could close the gap. No new numbers were reported; the paper is a roadmap.

Repp et al. (1987) warned the same thing for human health. They said pure operant work is too narrow for real disease. Alligood et al. (2022) echoes that call, now for dogs, cats, and birds.

Soto (2020) gave the tool kit. That paper urged single-case designs in brain labs. Alligood picks up the same SCED tool and hands it to animal trainers.

Perone (2023) argues that harsh punishment like shock collars may still be needed. Alligood’s 2022 stance quietly supersedes that view by pushing for broader, better-tested options first.

You can start closing the loop today. Run a quick reversal design with the next leash-pulling case. Graph the data and email it to the nearest university lab. One chart per week moves the whole field forward.