Applications of the Premack Principle: A Review of the Literature.

Howard et al. (2023) read every paper they could find on the Premack principle. They wanted to see how people use "first do this, then get that" in real programs.

The team pulled out each study’s methods and results. They looked for clear proof that high-probability actions really boost low-probability ones.

The review shows the Premack idea is popular, but hard evidence is thin. Many papers claim it works, yet few check response rates before they start.

Authors give tips: always measure which actions each learner does most. If you skip this step, your "high-prob" request might not be high at all.

White et al. (2021) also found skinny evidence. Their review of ten studies saw no fixed pattern of edibles beating tangibles. Both reviews warn that method choices, not magic rules, decide what works.

Hawley et al. (2004) reached the same sober end about rate-building: when you control practice and reinforcement, big benefits fade. Together these three papers tell us to test, not trust, classic procedures.

Cullinan et al. (2001) give a quick fix. Their ten-minute computer task maps which reinforcer dimensions control a student’s choice. Use it before you pick the "high-prob" side of a Premack pair.

Before you say "first write two sentences, then play with blocks," run a one-minute count of how often the learner writes versus plays. If writing happens more, the Premack direction flips. These quick checks save you from accidental punishment and keep your reinforcement honest.