PSYC 2022 Chapter Notes - Chapter 11: Repeated Measures Design, Variance, Wilcoxon Signed-Rank Test
21 Mar 2018
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However, the more variables that are being used, the more difficult it is to find matching pairs. It is also know as related-sample or correlated-samples design. In a repeated-measure design, researchers are more interested in whether there is a systematic difference between the scores of the first and second treatment condition. Step 1: state the hypothesis and select alpha level. Step 3: calculate the t statistic: first, compute the sample variance. Then, use it to compute the estimated standard error. Step 4: make a decision: directional hypotheses and one-tailed tests. If one of the assumption is violated, another alternative analysis is known as the wilcoxon test. It requires original scores to be transformed into ranks. 11. 4 effect size and confidence intervals for repeated measures: whenever treatment effect is found to be significant, it is recommended to report measure of the absolute magnitude of the effect.
