ABA Fundamentals

Producing a change from competition to sharing: effects of large and adjusting response requirements.

Olvera et al. (1976) · Journal of the experimental analysis of behavior 1976
★ The Verdict

Making the competitive path harder pushes students to share turns faster.

✓ Read this if BCBAs running token economies or group work in middle- or high-school classrooms.
✗ Skip if Clinicians focused on vocal mand training or discrete-trial repertoires with no peer component.

01Research in Context

01

What this study did

Kohlenberg et al. (1976) asked high-school students to play a matching-to-sample game for points. Two students sat side-by-side and could either race to answer first or take turns.

The researchers quietly raised the number of correct matches needed to earn points. Sometimes the ratio stayed large and fixed. Other times it grew each time a student grabbed the answer first.

The team timed how long it took the pair to stop racing and start sharing turns.

02

What they found

When the ratio was big, students switched from competing to sharing faster. The larger the fixed ratio, the quicker the shift.

An adjusting ratio also helped, but the fixed large ratio worked best. Effort, not just feedback, drove the change.

03

How this fits with other research

García‐Leal et al. (2019) and Fortes et al. (2015) show the same effort lever in pigeons. García‐Leal found higher peck requirements lowered reinforcer value, while Inês saw the opposite—more pecks made birds wait longer for bigger rewards. The bird data seem to clash, but the tasks differ: one measured value drop, the other self-control.

Kohlenberg et al. (1976) joins these studies by showing that effort also changes social strategy. High effort nudged students away from costly competition, just as it nudged pigeons toward different choice patterns.

Paul (1983) used the same matching-to-sample layout and confirmed that ratio size itself can act like a cue, giving further reason to treat effort as a variable you program, not ignore.

04

Why it matters

You can turn down competition in your classroom by raising the work required to win solo. Set a high but reachable response count—like 15 math facts before a token—then let students discover that taking turns is easier. Watch the same principle when shaping delay tolerance: if the delay task feels heavy, the reinforcer may lose value, so balance effort and payoff.

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→ Action — try this Monday

Raise the response requirement for solo answers to 15-20 trials before a point, then praise the first shared turn you see.

02At a glance

Intervention
token economy
Design
quasi experimental
Population
neurotypical
Finding
positive
Magnitude
medium

03Original abstract

Pairs of high-school students matched-to-sample for money. On each trial, the first pair member to complete a fixed ratio of knob-pulling responses could work the matching problem on that trial. Competition occurred when both pair members responded for the problem. Sharing occurred when only one pair member responded on each trial, and the subjects alternated trials. Hence, sharing requires less responding and still allows a moderate number of reinforcers for each subject. Recent research has shown that increasing the response requirement to the point that it may have aversive properties will produce a change from competition to sharing. A related variable is an adjusting schedule that adjusts the subjects' response requirements so that their abilities to take reinforcers are equal. In this way, subjects might learn that competition requires more responding but produces no more reinforcers. However, recent research also suggests that competition decreases over sessions without experimental manipulations. Because of this possibility of a time-related variable, ratio size and an adjusting schedule were studied in a group design. Competition did decrease for all groups over sessions, but the large-ratio groups switched from competition to sharing sooner than the low-ratio groups. The adjusting schedule had a similar but smaller effect.

Journal of the experimental analysis of behavior, 1976 · doi:10.1901/jeab.1976.26-321