Normal analysis of variance (One-Way and Two-way)
requires a sample that follows a normal distribution. However, for repeated measurement, normality of the sample cannot be satisfied, special ANOVA should be used.
Repeated measures AVOVA uses analysis of variance to test whether or not the means of two or more matched samples are equal.
Origin's ANOVA for repeated measures, both one-way and two-way, are powerful and user-friendly.
- Two kinds of input dataset modes, indexed and raw, are supported.
- There are eight different methods for customers to do means comparison. They are Tukey, Bonferroni, Dunn-Sidak, Fisher LSD, Scheffe, Dunnett, Holm-Bonferroni and Holm-Sidak.
- Mauchly's test for sphericity is performed, as well as three methods to adjust it: Greenhouse-Geisser Epsilon, Huynh-Feldt Epsilon and Lower-bound Epsilon.
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Furthermore, you can decide where to output Report Tables, fitted values, and other relevant statistics. Note that repeated measures ANOVA in Origin requires balanced data. Each level of the factor must have the same number of data points.
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The figure above illustrates how Two-Way repeated measures ANOVA can be used to analyze the effect of two different drugs as well as their three doses.
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