Dear Eduard,

Firstly, the syntax doesn't provide variable names. Maybe that is something to include in future versions if I have the time. However, the F-values are displayed in the same order as the order in which they are displayed in the output of the (non-pooled) Mixed models analysis (additionally, you can also see it in the number of model degrees of freedom). To give a little bit more explanation, the COMBINED OVERALL TEST is the F-test which tests whether there are any significant differences, the COMBINED RESULTS provide the F-values of the separate effects (with the F-test for the intercept on top), and the Estimate, SE, t, df, and p are the results of the pooled regression coefficients of the model. In ANOVA you normally don't interpret these coefficients.

As for the correction for the violation of Sphericity assumption: In Mixed models there is an option for a Huyn-Feldt correction (under Random.., Covariance Type). If you select that option and you combine the results using my syntax, it will probably this correction into account in the pooling as well. I don't see any Greenhouse-Geisser correction option so that it probably not possible.

Best,

Joost

-----Original Message-----

From: SPSSX(r) Discussion [mailto:

[hidden email]] On Behalf Of EduardNash

Sent: Wednesday, January 09, 2019 9:40 AM

To:

[hidden email]
Subject: Re: Mixed Design ANOVA after multiple imputation

Dear Lisa and Joost,

Thank you for your question and answer. I am dealing with a similar issue: I

want to know if blood pressure over time is significantly different between

patients receiving treatment A and patients receiving treatment B. I also

performed a Mixed Design ANOVA and used the Sphericity assumption and the

Greenhouse-Geisser correction to get the p-value for significance. However,

I also needed to impute my data.

I struggled with similar issues as Lisa and tried the approach Joost wrote

down. But the output I get is strange:

Run MATRIX procedure:

COMBINED OVERALL TEST

F-Value df1 df2 p

69.5618 11.0000 716.7493 .0000

COMBINED RESULTS

F-Value df1 df2 p

10448.4401 1.0000 156.9713 .0000

3.8572 1.0000 156.5526 .0513

106.4352 5.0000 754.7524 .0000

2.2857 5.0000 727.0853 .0446

Estimate SE t df p

.6997 .0068 102.2176 156.9713 .0000

-.0135 .0069 -1.9640 156.5526 .0513

.1752 .0088 19.9457 573.5050 .0000

.0341 .0089 3.8328 461.3061 .0001

-.1061 .0086 -12.3504 779.2266 .0000

-.0737 .0087 -8.4362 625.9757 .0000

-.0276 .0088 -3.1324 536.4563 .0018

.0235 .0089 2.6547 490.5419 .0082

.0099 .0093 1.0676 238.6150 .2868

-.0078 .0086 -.9081 785.6911 .3641

-.0181 .0087 -2.0703 634.4185 .0388

-.0056 .0088 -.6349 511.7262 .5258

------ END MATRIX -----

In the combined results, I only see the F-statistic and not the variable

name. Besides that, I do not get a p-value for the Sphericity assumption

and/or Greenhous Geisser correction. And those two are the ones I am

interested in. So my question is: is there a way to get to those two

p-values?

I would very appreciate the help.

Best wishes,

Eduard Nash

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