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Autor/inn/enDavison, Michael; Elliffe, Douglas
TitelDivided Stimulus Control: A Replication and a Quantitative Model
QuelleIn: Journal of the Experimental Analysis of Behavior, 94 (2010) 1, S.13-23 (11 Seiten)
PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0022-5002
SchlagwörterAnimals; Stimuli; Color; Time; Perception; Cues; Reinforcement; Replication (Evaluation); Statistical Analysis; Attention
AbstractFour pigeons were trained on a conditional discrimination. The conditional stimuli were compounds of pairs of stimuli from two different dimensions, fast versus slow cycles of red or green stimuli, and short- versus long-duration presentations of these cycles. Across conditions, the probability of reinforcers for correctly responding to each dimension was varied from 0 to 1. Discriminability, measured by log "d," for stimuli on a dimension increased as the relative frequency of reinforcers for that dimension increased, replicating the results of Shahan and Podlesnik (2006). Two further conditions showed that discriminability between stimuli on each dimension was unaffected by whether the stimuli on the other dimension varied or were constant. Finally, maximal discriminability was unchanged in a redundant-relevant cues condition in which either of the stimuli comprising a compound signaled the same correct response. Davison and Nevin's (1999) model provided an excellent quantitative account of the effect of relative reinforcer frequency on discriminability, and thus of the way in which divided stimulus control is itself controlled by relative reinforcement. (Contains 3 tables, 4 figures, and 1 footnote.) (As Provided).
AnmerkungenSociety for the Experimental Analysis of Behavior. Available from: Indiana University Department of Psychology. Bloomington, IN 47405-1301. Tel: 812-334-0395; FAX: 812-855-4691; e-mail: jeab@indiana.edu; Web site: http://seab.envmed.rochester.edu/jeab/index.html
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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