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st: Repeated Measures ANOVA and Missing Values
From
"John L. Woodard, Ph.D." <[email protected]>
To
[email protected]
Subject
st: Repeated Measures ANOVA and Missing Values
Date
Sun, 16 Oct 2011 16:15:29 -0400
I'm trying to run a oneway repeated measures ANOVA (the variable is =
session, with three levels). I have organized my data in long format, =
with one column for subject ID, one column for session number and one =
column for the dependent variable. Here is a listing of part of my data =
file:
ID session DV
211. | 245 1 139 |
212. | 245 2 141 |
213. | 245 3 . |
214. | 247 1 137 |
215. | 247 2 . |
|------------------------|
216. | 247 3 . |
217. | 249 1 138 |
218. | 249 2 141 |
219. | 249 3 144 |
220. | 250 1 141 |
|------------------------|
221. | 250 2 135 |
222. | 250 3 . |
223. | 251 1 142 |
224. | 251 2 139 |
225. | 251 3 143 |
There are obviously several cases that are missing observations at =
session 2 or session 3. Does wsanova or Stata's anova command =
automatically drop cases with missing values at any of the three =
sessions? My first pass with the analysis seems to suggest it does not.
What is the best way to deal with these missing values (either deleting =
cases with missing values or telling wsanova or anova to ignore them in =
the analysis)? Many thanks in advance!
John
John L. Woodard, Ph.D.
Associate Professor of Psychology
Wayne State University
5057 Woodward Ave., 7th Floor
Detroit, MI 48202
(313) 577-5838 (voice)
(313) 577-7636 (fax)
john.woodard@@wayne.edu
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