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Do you want the same amount of Mountain Dew with chips as you do with tuna casserole? What about when you’re eating popcorn? Detecting differences across groups can be tricky if those groups are already highly varied to begin with. But we can make that easier on ourselves by using the same subjects, which controls individual variation. Repeated-measures analysis of variance, or ANOVA, helps us do just that.
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Chapters:
0:00 – Introduction
1:44 – When To Use Repeated-Measures ANOVA
4:33 – Performing And Interpreting Repeated-Measures ANOVA In Software
8:58 – Sphericity
11:13 – Conclusion
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SOURCES:
https://www.statology.org/repeated-measures-anova-google-sheets/
https://www.statology.org/repeated-measures-anova-excel/
https://www.graphpad.com/support/faq/repeated-measures-anova-sphericity-and-compound-symmetry/
https://statistics.laerd.com/statistical-guides/repeated-measures-anova-statistical-guide.php
https://www.uvm.edu/~statdhtx/StatPages/More_Stuff/RepMeasMultComp/RepMeasMultComp.html
https://statistics.laerd.com/statistical-guides/repeated-measures-anova-statistical-guide-2.php
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