Post Hoc Tests for GLM repeated measures

[luciano basso]

Hi Bozena and Team,

I have the same difficulty of Matheus, but for data pre and post. An
experiment with 3 groups x 2 times (pre and post).

I used GLM, but only observe the post-hoc main effects. There how to
calculate the post hoc interaction. This solution appears to Matheus
by Bozena, SPSS adjusts the error of type 1, as the bonferroni - main
effects?

I tried to adapt the commands that you had to Matheus, but unsuccessfully.

thanks,

Luciano Basso

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[Zdaniuk, Bozena-3]

Luciano, below is a syntax I used for within subject variable I called
"time" with "pretest" meaning pretest score and "posttest" meaning
posttest score. "grouping" is my group variable with 3 categories. It
should give you all possible comparisons. Let me know if you still have
problems. The ADJ keyword is supposed to adjust for multiple comparisons
but it did not work until version 15 (last time I checked). Does anyone
know if this has been fixed in recent versions?
Bozena

GLM
     Pretest posttest BY GROUPING
  /WSFACTOR = time 2 Polynomial
  /MEASURE = test
  /METHOD = SSTYPE(3)
  /PLOT = PROFILE( time*GROUPING )
  /EMMEANS = TABLES(OVERALL)
  /EMMEANS = TABLES(GROUPING) COMPARE ADJ(LSD)
  /EMMEANS = TABLES(time) COMPARE ADJ(LSD)
  /EMMEANS = TABLES(GROUPING*time) COMPARE (time) ADJ(LSD)
  /EMMEANS = TABLES(GROUPING*time) COMPARE (GROUPING) ADJ(LSD)
  /PRINT = DESCRIPTIVE ETASQ HOMOGENEITY
  /CRITERIA = ALPHA(.05)
  /WSDESIGN = time
  /DESIGN = GROUPING .

Bozena Zdaniuk, Ph.D.
Human Early Learning Partnership (HELP)
College for Interdisciplinary Studies
UBC - UVic - SFU - UNBC - TRU - UBCO
440 - 2206 East Mall, Vancouver BC  V6T 1Z3
Tel: [phone] / Fax: [phone]
www.earlylearning.ubc.ca


-----Original Message-----
From: luciano basso [mailto:[hidden email]]
Sent: Thursday, December 17, 2009 5:22 AM
To: [hidden email]
Subject: Post Hoc Tests for GLM repeated measures

Hi Bozena and Team,

I have the same difficulty of Matheus, but for data pre and post. An
experiment with 3 groups x 2 times (pre and post).

I used GLM, but only observe the post-hoc main effects. There how to
calculate the post hoc interaction. This solution appears to Matheus
by Bozena, SPSS adjusts the error of type 1, as the bonferroni - main
effects?

I tried to adapt the commands that you had to Matheus, but unsuccessfully.

thanks,

Luciano Basso

=====================
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command. To leave the list, send the command
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=====================
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