ABA Fundamentals

Limited matching on concurrent-schedule reinforcement of academic behavior.

Mace et al. (1994) · Journal of applied behavior analysis 1994
★ The Verdict

Concurrent VI schedules in class produce rough, unstable matching unless you add change-over delays or demos.

✓ Read this if BCBAs running multiple work centers or token stations in schools.
✗ Skip if Clinicians who run only single-task DTT or discrete trials.

01Research in Context

01

What this study did

The team set up two math worksheets side by side. Each sheet paid nickels on its own timer.

Kids could switch sheets at any time. The timers kept running even when they left a sheet.

The goal was to see if students would split their time in the same ratio as the nickel pay rates.

02

What they found

Time followed money, but only roughly. Kids under-matched: they did not move enough to the richer sheet.

The link was shaky. Extra tricks like change-over delays or demo rounds were needed to steady it.

03

How this fits with other research

Wearden (1980) had already shown that under-matching is normal on these timers. The power-law math predicts the slippage seen here.

Duker et al. (1996) later kept the same two-sheet math set-up but swapped nickels for cheap trinkets. When the prize was weak, kids fled even the "better" sheet, proving reinforcer quality can override rate.

Marcucella et al. (1978) found that flashing a light when one timer paid almost emptied that option. Like here, small procedure tweaks—signals or delays—make or break the matching pattern.

04

Why it matters

If you run two centers or two task folders at once, do not assume kids will self-allocate to the richer one. Plan for under-matching. Add a brief delay before they can switch again, or post a clear count-down. These cheap props tighten the link between pay and time, saving you from nagging.

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Put a 5-second "hands in lap" rule before a student can switch between two token tasks.

02At a glance

Intervention
token economy
Design
single case other
Sample size
3
Population
mixed clinical
Finding
positive
Magnitude
medium

03Original abstract

Three adolescent students with special educational needs were given a choice between completing one of two available sets of math problems. Reinforcers (nickels) across these alternatives were arranged systematically in separate experimental phases according to three different concurrent variable-interval schedules (reinforcement ratios of 2:1, 6:1, and 12:1). Time allocated to the two stacks of math problems stood in linear relationship to the reinforcement rate obtained from each stack, although substantial undermatching and bias were observed for all subjects. However, changes in the schedules were not followed by changes in allocation patterns until adjunct procedures (e.g., changeover delays, limited holds, timers, and demonstrations) were introduced. The necessity of adjunct procedures in establishing matching in applied situations is discussed as a limitation to quantitative applications of the matching law in applied behavior analysis.

Journal of applied behavior analysis, 1994 · doi:10.1901/jaba.1994.27-585