8.6 Summary

In this chapter you were introduced to the repeated-measures ANOVA. This analysis is appropriate for within-subjects or repeated measures designs. The main difference between the independent factor ANOVA and the repeated measures ANOVA, is the ability to partial out variance due to the individual subject means. This can often result in the repeated-measures ANOVA being more sensitive to true effects than the between-subjects ANOVA.

• Behmer, Lawrence P, and Matthew JC Crump. 2017. “Spatial Knowledge During Skilled Action Sequencing: Hierarchical Versus Nonhierarchical Representations.” Attention, Perception, & Psychophysics 79 (8): 2435–48. https://doi.org/10.3758/s13414-017-1389-3.

Adapted from Answering Questions with Data: Introductory Statistics for Psychology Students, by Matthew J. C. Crump (Brooklyn College of CUNY), crumplab.com/statistics, licensed under CC BY-SA 4.0. Portions adapt Danielle Navarro's Learning Statistics with R (CC BY-SA). Changes were made; this adaptation is distributed under the same license. License: CC-BY-SA-4.0.