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. 1984 Nov;42(3):421–434. doi: 10.1901/jeab.1984.42-421

Quantitative analysis

John A Nevin
PMCID: PMC1348113  PMID: 16812400

Abstract

Quantitative analysis permits the isolation of invariant relations in the study of behavior. The parameters of these relations can serve as higher-order dependent variables in more extensive analyses. These points are illustrated by reference to quantitative descriptions of performance maintained by concurrent schedules, multiple schedules, and signal-detection procedures. Such quantitative descriptions of empirical data may be derived from mathematical theories, which in turn can lead to novel empirical analyses so long as their terms refer to behavioral and environmental events. Thus, quantitative analysis is an integral aspect of the experimental analysis of behavior.

Keywords: concurrent schedules, multiple schedules, signal detection, generalized matching, sensitivity, bias, invariance, mathematical theory

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Selected References

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