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. 1977 Spring;10(1):151-66.
doi: 10.1901/jaba.1977.10-151.

Time-series analysis in operant research

R R Jones  1 , R S Vaught, M Weinrott
Affiliations

Time-series analysis in operant research

R R Jones et al. J Appl Behav Anal. 1977 Spring.

Abstract

A time-series method is presented, nontechnically, for analysis of data generated in individual-subject operant studies, and is recommended as a supplement to visual analysis of behavior change in reversal or multiple-baseline experiments. The method can be used to identify three kinds of statistically significant behavior change: (a) changes in score levels from one experimental phase to another, (b) reliable upward or downward trends in scores, and (c) changes in trends between phases. The detection of, and reliance on, serial dependency (autocorrelation among temporally adjacent scores) in individual-subject behavioral scores is emphasized. Examples of published data from the operant literature are used to illustrate the time-series method.

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References

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