ABA Fundamentals

A collateral effect of reward predicted by matching theory.

Mace et al. (1990) · Journal of applied behavior analysis 1990
★ The Verdict

Kids move their time to whichever task pays tokens faster — keep reinforcement rates equal or you will lose the low-pay skill.

✓ Read this if BCBAs running token economies or classroom centers.
✗ Skip if Clinicians who only do 1:1 discrete trial at a single table.

01Research in Context

01

What this study did

Two students worked on two reading tasks at the same time. One task paid more tokens than the other.

The teacher switched which task paid more every few minutes. The study watched where the kids put their time.

02

What they found

Kids spent more minutes on the task that gave tokens faster. When the rich task flipped, they flipped too.

Their time matched the payoff almost perfectly — matching theory worked in a real classroom.

03

How this fits with other research

Clarke (1998) later saw the same thing with college students. Proportional pay-offs kept everyone working; fixed or winner-take-all pay-offs killed the weaker student’s effort.

Rilling et al. (1969) first showed the pattern with pigeons. Birds’ time on two keys tracked grain rates the same way these kids’ time tracked token rates.

Kirkpatrick-Steger et al. (1996) warns that choice can drift within a session. If you run a long center rotation, check late-time allocation — early data may overstate the match.

04

Why it matters

Your token boards, point charts, or iPad minutes are concurrent schedules. If math pays more than writing, kids will migrate to math. Balance the pay-offs or you will accidentally starve the “lean” skill. Rotate rich and lean tasks across kids so everyone gets a turn on the good schedule.

Free CEUs

Want CEUs on This Topic?

The ABA Clubhouse has 60+ free CEUs — live every Wednesday. Ethics, supervision & clinical topics.

Join Free →
→ Action — try this Monday

Count how many tokens each center handed out last week; rebalance so every center pays the same per minute.

02At a glance

Intervention
token economy
Design
alternating treatments
Sample size
2
Population
not specified
Finding
positive
Magnitude
medium

03Original abstract

Matching theory describes a process by which organisms distribute their behavior between two or more concurrent schedules of reinforcement (Herrnstein, 1961). In an attempt to determine the generality of matching theory to applied settings, 2 students receiving special education were provided with academic response alternatives. Using a combined simultaneous treatments design and reversal design, unequal ratio schedules of reinforcement were varied across two academic responses. Findings indicated that both subjects allocated higher rates of responses to the richer schedule of reinforcement, although only one responded exclusively to the richer schedule. The present results lend support to a postulation that positive reinforcement may have undesirable collateral effects that are predicted by matching theory (Balsam & Bondy, 1983).

Journal of applied behavior analysis, 1990 · doi:10.1901/jaba.1990.23-197