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  3. Intro to Statistics with R: Repeated measures ANOVA
  • 1

    Introduction to repeated measures ANOVA

    Free

    In this chapter, Professor Conway will review the pros and cons of a repeated measures design. There are many benefits to conducting experiments in this way, but there are also some issues that you need to take into consideration. For example, the lower cost and increased statistical power of a repeated measures design are great, but you need to take into account things like order effects, counterbalancing and missing data. This chapter will show you how!

  • 2

    More repeated measures ANOVA

    This chapter is very hands-on. You will walk through a full example of a repeated measures ANOVA experiment starting with systematic and unsystematic variances, followed by the F-ratio and p-value, conducting post-hoc tests, and concluding with some final thoughts.

Initializing

Exercise

Paired t-test

Assume that you do not know how to perform an analysis of variance (ANOVA), you may do a number of paired t-tests instead.

Have a look at just one paired t-test and take, for example, the comparison between 12 days and 17 days.

Instructions

100 XP
  • Do a paired t-test to compare 12 days of training to 17 days of training. Define two variables cond_12days and cond_17days containing the IQ scores for the two condition groups.
  • Use the t.test() function. The first argument should contain the set of IQ values for 12 days of training, the second argument the IQ values for 17 days of training with the third argument paired set equal to TRUE.