Graphing Within-Subjects Effects

Most graphs in psychology articles fail to show distributional information other than the mean. Although many articles have suggested solutions to this problem for between-subjects designs, there has been relatively little discussion on how to show distributional information for within-subjects desi...

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Bibliographic Details
Published inTutorials in quantitative methods for psychology Vol. 15; no. 3; pp. 174 - 187
Main Author Lane, David M.
Format Journal Article
LanguageEnglish
Published Université d'Ottawa 01.12.2019
Subjects
graphing data
jittered plots
plots of trends
sum-different plots; box plots
within-subject data
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Summary:Most graphs in psychology articles fail to show distributional information other than the mean. Although many articles have suggested solutions to this problem for between-subjects designs, there has been relatively little discussion on how to show distributional information for within-subjects designs. Graphs of within-subjects data should be constructed so that between-subjects variation does not appear as uncontrolled error. This article presents a variety of methods for graphing data from within-subjects designs including jittered dot plots of difference scores, sum-difference plots, box plots of difference scores, and plots of trend components. These graph types show descriptive distributional information while controlling for between-subjects variation.
ISSN:1913-4126
1913-4126
DOI:10.20982/tqmp.15.3.p174