Neural network simulation of visual inspection of graphs of single-subject interventions

Perceptual and Motor Skills
A R Gilpin

Abstract

Judgments of the effectiveness of single-subject behavioral interventions are often based on visual examination of graphs of response data, but previous research indicates that such judgments are often unreliable and flawed. Here it is proposed that artificial neural networks could be developed to simulate the judgments of expert judges. A prototype of such a network was designed and trained in the present study, and its use in novel experiments matched the estimates of the expert whose judgments were simulated significantly better than did a prediction equation developed using a multiple regression approach.

References

Jan 1, 1986·Annals of the New York Academy of Sciences·D F Parsons
Jul 1, 1986·The American Journal of Occupational Therapy : Official Publication of the American Occupational Therapy Association·K J Ottenbacher
Jul 1, 1978·Journal of Applied Behavior Analysis·R R JonesR S Vaught
Jan 1, 1979·Journal of Applied Behavior Analysis·A Deprospero, S Cohen
Oct 1, 1982·Journal of Applied Behavior Analysis·M J Furlong, B E Wampold

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Citations

Oct 16, 2013·Journal of the International Neuropsychological Society : JINS·Nevena SimicJoanne Rovet
Nov 11, 1999·Evaluation & the Health Professions·P R YarnoldG J Martin

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