Literature DB >> 16795617

Inconsistent visual analyses of intrasubject data.

A Deprospero1, S Cohen.   

Abstract

Visual inspection has been the method of analysis most widely employed to evaluate the functional control demonstrated by any given set of intrasubject replication data. To identify the influence of certain graphic characteristics on these evaluative behaviors, 36 "ABAB reversal" figures were constructed. They were sent to 250 reviewers of behavioral journals. Their evaluation of each figure was expressed as a rating on a 100-point scale of "experimental control." Mean interrater agreement was 0.61. In addition to this rating, a verbal description of evaluation criteria was requested. It was also found that graphic characteristics determine evaluative judgments in concert rather than singly. For example, phase mean changes had to be a pattern consistent with the hypothesized effect of the experimental variables, while degrees of mean shift and variability were less important. A description of the following evaluative criteria was presented: (a) topographic characteristics, (b) format of data presentation, (c) intra-experimental, and (d) extra-experimental circumstances.

Year:  1979        PMID: 16795617      PMCID: PMC1311483          DOI: 10.1901/jaba.1979.12-573

Source DB:  PubMed          Journal:  J Appl Behav Anal        ISSN: 0021-8855


  2 in total

1.  "Perhaps it would be better not to know everything.".

Authors:  D M Baer
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2.  Effects of serial dependency on the agreement between visual and statistical inference.

Authors:  R R Jones; M R Weinrott; R S Vaught
Journal:  J Appl Behav Anal       Date:  1978
  2 in total
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7.  Effects of lines of progress and semilogarithmic charts on ratings of charted data.

Authors:  D B Bailey
Journal:  J Appl Behav Anal       Date:  1984

8.  Visual analysis of single-case time series: Effects of variability, serial dependence, and magnitude of intervention effects.

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9.  Applied behavior analysis at West Virginia University: A brief history.

Authors:  R P Hawkins; P N Chase; J R Scotti
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10.  Interrupted time-series analysis and its application to behavioral data.

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