# Question

One of the primary advantages of a repeated-measures design, compared to an independent-measures design, is that it reduces the overall variability by removing variance caused by individual differences. The following data are from a research study comparing three treatment conditions.

a. Assume that the data are from an independentmeasures study using three separate samples, each with n = 6 participants. Ignore the column of P totals and use an independent-measures ANOVA with a = .05 to test the significance of the mean differences.

b. Now assume that the data are from a repeatedmeasures study using the same sample of n = 6 participants in all three treatment conditions. Use a repeated-measures ANOVA with a = .05 to test the significance of the mean differences.

c. Explain why the two analyses lead to different conclusions.

a. Assume that the data are from an independentmeasures study using three separate samples, each with n = 6 participants. Ignore the column of P totals and use an independent-measures ANOVA with a = .05 to test the significance of the mean differences.

b. Now assume that the data are from a repeatedmeasures study using the same sample of n = 6 participants in all three treatment conditions. Use a repeated-measures ANOVA with a = .05 to test the significance of the mean differences.

c. Explain why the two analyses lead to different conclusions.

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