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Beyond inference by eye: Statistical and graphing practices in JEAB, 1992-2017
Elizabeth G E Kyonka1, Suzanne H Mitchell2, Lewis A Bizo1
1University of New England.
Journal of the Experimental Analysis of Behavior
|February 13, 2019
Summary
Statistical reporting in the Journal of the Experimental Analysis of Behavior (JEAB) has evolved over time, mirroring trends in psychology. However, changes in American Psychological Association (APA) guidelines did not directly influence JEAB practices.
Area of Science:
- Behavioral science
- Psychology
- Scientific publishing
Background:
- Debates on p-values and data analysis have led to new statistical inference guidelines by the American Psychological Association (APA).
- Changes in reporting results are evident in many scientific journals.
- The impact of these shifts on the Journal of the Experimental Analysis of Behavior (JEAB) remains unevaluated.
Purpose of the Study:
- To analyze statistical and graphing practices in JEAB empirical articles from 1992 to 2017.
- To determine if and how these practices changed over the evaluated period.
- To compare JEAB trends with those in mainstream psychology journals.
Main Methods:
- Content analysis of empirical articles published in JEAB between 1992 and 2017.
- Tracking the frequency of null hypothesis significance testing, confidence intervals, and error bars in figures.
- Assessing changes in graph features, specifically the proportion of single-subject data depictions.
Main Results:
- The likelihood of reporting null hypothesis significance tests, confidence intervals, and error bars in figures has increased over time in JEAB.
- Graph characteristics, such as the depiction of single-subject data, showed no systematic changes.
- JEAB's statistical and graphing trends largely paralleled those in other psychology journals.
Conclusions:
- JEAB's statistical and graphing practices have evolved, mirroring broader trends in scientific psychology.
- There is no direct evidence that American Psychological Association (APA) style changes impacted JEAB.
- Authors, reviewers, and editors must ensure continued evolution of statistical and graphing practices in JEAB while preserving its unique characteristics.
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