in a repeated-measures analysis of variance, the magnitude of the mean differences from one treatment to another will contribute to

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19-12-2022
Physics

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in a repeated-measures analysis of variance, the magnitude of the mean differences from one treatment to another will contribute to

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abhinavjh321 abhinavjh321 · Answer 1 · 2022-12-24T16:30:55+01:00

In a repeated-measures analysis of variance, the numerator of the F-ratio is increased by the mean differences whose magnitude from one treatment to another will contribute to F-ratio.

When comparing three or more group averages where the individuals are the same in each group, an ANOVA with repeated measures is employed. Since the same individuals are employed in each treatment condition, the repeated-measures approach eliminates individual variations from the between-treatments variability. Individual differences must also be removed from the F-denominator ratio's in order for the calculations to be balanced. The likelihood of an experiment-wise Type I error increases when several t tests are used. The dependent t-test is extended by repeated measures ANOVA, which is the same as one-way ANOVA but for related rather than independent groups. Within-subjects ANOVA is another name for a repeated measures ANOVA.

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