top banner top banner

Search publications

Graphing Within-Subjects Effects

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.15.3.p174

Lane, David M.
Keywords: Graphing data , within-subject data , jittered plots , sum-different plots; box plots , plots of trends.
(data file)   (no appendix)

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.

Pages © TQMP;
Website last modified: 2019-12-03.
Template last modified: 2019-03-03>.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS