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re: st: determining between subject basic unit in repeated measures


From   David Airey <david.airey@vanderbilt.edu>
To   statalist@hsphsun2.harvard.edu
Subject   re: st: determining between subject basic unit in repeated measures
Date   Mon, 19 Sep 2005 15:34:29 -0500

.

You are missing a factor for subject. Try the following commands:

sort group block
egen person = seq(), from(1) to(36) block(2)
order group person block
list
table person block, by(group) concise c(n anticipation mean anticipation)
anova anticipation group / person|group block group*block, repeated (block)

which produce:

Number of obs = 72 R-squared = 0.7516
Root MSE = 7.48311 Adj R-squared = 0.4655

Source | Partial SS df MS F Prob > F
------------- +----------------------------------------------------
Model | 5590.36839 38 147.114958 2.63 0.0029
|
group | 602.019231 2 301.009616 2.45 0.1020
person|group | 4058.0229 33 122.970391
------------- +----------------------------------------------------
block | 57.2271728 1 57.2271728 1.02 0.3194
group*block | 873.099089 2 436.549544 7.80 0.0017
|
Residual | 1847.89994 33 55.996968
------------- +----------------------------------------------------
Total | 7438.26833 71 104.764343


Between-subjects error term: person|group
Levels: 36 (33 df)
Lowest b.s.e. variable: person
Covariance pooled over: group (for repeated variable)

Repeated variable: block
Huynh-Feldt epsilon = 1.0625
*Huynh-Feldt epsilon reset to 1.0000
Greenhouse-Geisser epsilon = 1.0000
Box's conservative epsilon = 1.0000

------------ Prob > F ------------
Source | df F Regular H-F G- G Box
------------- +----------------------------------------------------
block | 1 1.02 0.3194 0.3194 0.3194 0.3194
group*block | 2 7.80 0.0017 0.0017 0.0017 0.0017
Residual | 33
------------- +----------------------------------------------------


see the FAQ at

http://www.stata.com/support/faqs/stat/anova2.html

specifically:

http://www.stata.com/support/faqs/stat/anova2.html#wsanova2

-Dave
*
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