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- https://stats.libretexts.org/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/02%3A_Mean_Differences/12%3A_RM_ANOVA/12.01%3A_Introduction_to_Repeated_Measures_ANOVA/12.1.01%3A_Things_Worth_Knowing_About_RM_ANOVAsThe main special property is that the error term used to for the F-value (the denominator of the calculated F ratio) will always be smaller than the error term (denominator) in a Between Groups AN...The main special property is that the error term used to for the F-value (the denominator of the calculated F ratio) will always be smaller than the error term (denominator) in a Between Groups ANOVA. This can have the consequence of generally making calculated F-values in Repeated Measures ANOVAS larger than calculated F-values in Between Groups ANOVAs because when the number in the bottom is smaller, it will make the resulting product a larger number.
- https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/12%3A_RM_ANOVA/12.01%3A_Introduction_to_Repeated_Measures_ANOVA/12.1.01%3A_Things_Worth_Knowing_About_RM_ANOVAsThe main special property is that the error term used to for the F-value (the denominator of the calculated F ratio) will always be smaller than the error term (denominator) in a Between Groups AN...The main special property is that the error term used to for the F-value (the denominator of the calculated F ratio) will always be smaller than the error term (denominator) in a Between Groups ANOVA. This can have the consequence of generally making calculated F-values in Repeated Measures ANOVAS larger than calculated F-values in Between Groups ANOVAs because when the number in the bottom is smaller, it will make the resulting product a larger number.
- https://stats.libretexts.org/Courses/Kansas_State_University/EDCEP_917%3A_Experimental_Design_(Yang)/05%3A_Within-Subjects_Design/5.04%3A_More_Notes_on_Repeated_Measures_ANOVAThe main special property is that the error term used to for the F-value (the MS in the denominator) will always be smaller than the error term used for the F-value the ANOVA for a between-sub...The main special property is that the error term used to for the F-value (the MS in the denominator) will always be smaller than the error term used for the F-value the ANOVA for a between-subjects design. Because big F values usually let us reject the idea that differences in our means are due to chance, the repeated-measures ANOVA becomes a more sensitive test of the differences (its F-values are usually larger).
