1986
DOI: 10.1901/jeab.1986.45-83
|View full text |Cite
|
Sign up to set email alerts
|

The Generalized Matching Law as a Description of Multiple‐schedule Responding

Abstract: The literature was examined to determine how well the generalized matching law (Baum, 1974) describes multiple-schedule responding. In general, it describes the data well, accounting for a median of 91% of the variance. The median size of the undermatching parameter was 0.46; the median bias parameter was 1.00. The size of the undermatching parameter, and the proportion of the variance accounted for by the equation, varied inversely with the number of schedules conducted, with the number of sessions conducted … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

4
29
2

Year Published

1986
1986
2022
2022

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 32 publications
(35 citation statements)
references
References 45 publications
4
29
2
Order By: Relevance
“…The exponent m of the power function given by Equation 1, relating ratios of responses (P1, P2) to the ratios of reinforcers obtained in the two components (R 1, R2) was used as a higher order measure of discrimination (White, 1985;White, Pipe, & McLean, 1983;White et al, 1984). The power function has proved useful in describing performance in successive discriminations because the sensitivity of response rates to changes in reinforcer ratios (m) can be determined separately from any constant bias (q) that may exist between the components (Lander & Irwin, 1968;McSweeney, Farmer, Dougan, & Whipple, 1986;Williams, 1983). The power function is P1/P2 = q(Rl/R2)m.…”
mentioning
confidence: 99%
“…The exponent m of the power function given by Equation 1, relating ratios of responses (P1, P2) to the ratios of reinforcers obtained in the two components (R 1, R2) was used as a higher order measure of discrimination (White, 1985;White, Pipe, & McLean, 1983;White et al, 1984). The power function has proved useful in describing performance in successive discriminations because the sensitivity of response rates to changes in reinforcer ratios (m) can be determined separately from any constant bias (q) that may exist between the components (Lander & Irwin, 1968;McSweeney, Farmer, Dougan, & Whipple, 1986;Williams, 1983). The power function is P1/P2 = q(Rl/R2)m.…”
mentioning
confidence: 99%
“…Early evidence (Shimp & Wheatley, 1971;Todorov, 1972) showed larger interactions with shorter components. Fits of Equation 1 by McSweeney, Farmer, Dougan, and Whipple (1986) to the subjects of Shimp and Wheatley (1971) yielded median values of a that ranged from .86 to .52 as component duration varied from 2 to 180 sec. Thus, a strong effect of component duration occurred, and values ofa with the shortest components were comparable to those typically obtained with concurrent schedules.…”
mentioning
confidence: 99%
“…Such effects are also important because they impinge strongly on the issue of how performance on different types of schedules should be conceptualized. As has been noted by McSweeney et al (1986), a concurrent schedule might be regarded as a multiple schedule with very short components. Accordingly, the fact that concurrent schedules typically produce larger interactions than multiple schedules do would be ascribed to the effects of component duration, with the implication that robust effects of component duration should be obtained when they are studied in multiple schedules directly.…”
mentioning
confidence: 99%
“…It is well established that the relation between component response rates and component reinforcer rates in multiple schedules may be described by the generalized matching law (Charman & Davison, 1982;Lobb & Davison, 1977;McSweeney, Farmer, Dougan, & Whipple, 1986 log (B) = a log(R ) + log c. (1) The parameter a in the above equations is known as sensitivity to reinforcement (Lobb & Davison, 1975) and it measures the rate of change of the log behavior ratio with respect to changes in the log reinforcer ratio. (Baum & Rachlin, 1969) of responding on two, unequal, multipleschedule components were the same, then as access time was decreased, the relation between log response-allocation ratios and log reinforcer-rate ratios would become similar to the relation between log time-allocation ratios and log component reinforcer-rate ratios.…”
mentioning
confidence: 99%