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I have following data for the one-way repeated measures ANOVA test and I don't know how to deal with missing values.

The data looks something like this:

users  | type 1 | type 2 | type 3 | type 4 | type 5

user 1 |    x   |    x   |    -   |    -   |   x
user 2 |    x   |    x   |    x   |    -   |   -
user 3 |    x   |    x   |    x   |    x   |   -
user 4 |    x   |    x   |    -   |    x   |   x
... 

Can anyone help me out?

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  • 1
    $\begingroup$ It might help to get a little more information. Is your response variable continuous? Are the 'types' ordered in time? $\endgroup$ – gung Jul 22 '12 at 19:09
  • $\begingroup$ Oh, of course! The types are different tasks and the values are times. x = several time values (unfortunately different amount of values for each x) $\endgroup$ – Jonas Jul 22 '12 at 19:18
  • $\begingroup$ What are you measuring, exactly, and what is your research question (e.g., response time as a function of task type) and your operational hypothesis? $\endgroup$ – chl Jul 22 '12 at 21:53
  • $\begingroup$ Ok, I have several response times per user and per task. In the end I want to prove that users perform task 1 significantly quicker or slower than task 2. And the same for the other tasks. $\endgroup$ – Jonas Jul 22 '12 at 22:13

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