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| Click [http://ssc.utexas.edu/software/faqs/spss#SPSS_35 here] | Click [[http://ssc.utexas.edu/software/faqs/spss#SPSS_35|here]] |
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| to find out how to use EMMEANS in GLM to test simple main effects. You can additionally also add ADJ(BONFERRONI) or ADJ(SIDAK) to the /EMMEANS subcommand line to correct for multiple t-tests and use /EMMEANS for designs involving only between subjects factors (see some examples [http://www.ats.ucla.edu/stat/spss/seminars/Repeated_Measures/default.htm here].) | to find out how to use EMMEANS in GLM to test simple main effects. You can additionally also add ADJ(BONFERRONI) or ADJ(SIDAK) to the /EMMEANS subcommand line to correct for multiple t-tests and use /EMMEANS for designs involving only between subjects factors (see some examples [[http://www.ats.ucla.edu/stat/spss/seminars/Repeated_Measures/default.htm|here]].) |
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| Simple effects involving between subject factors can also be specified in SPSS using the [attachment:lmatrix.pdf /LMATRIX subcommand] and the /MMATRIX subcommand for within subjects factors or [http://listserv.uga.edu/cgi-bin/wa?A2=ind0107&L=spssx-l&P=13210 combinations of the two]. [http://www.nicholasgibson.com/lmatrix.html See also.] |
Simple effects involving between subject factors can also be specified in SPSS using the [[attachment:lmatrix.pdf|/LMATRIX subcommand]] and the /MMATRIX subcommand for within subjects factors or [[http://listserv.uga.edu/cgi-bin/wa?A2=ind0107&L=spssx-l&P=13210|combinations of the two]]. [[http://www.nicholasgibson.com/lmatrix.html|See also.]] |
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| MANOVA can also be used to compare pairs of within subjects factor levels in each group separately using the overall Mean Square Error which was used for testing the original interaction which was computed using ''all'' the groups. For example to decompose the Time x A interaction separately into the differences in times in groups 1 and 2 we can use the below. Further details are available [http://support.spss.com/ProductsExt/SPSS/Documentation/Statistics/articles/simple.htm here.] | MANOVA can also be used to compare pairs of within subjects factor levels in each group separately using the overall Mean Square Error which was used for testing the original interaction which was computed using ''all'' the groups. For example to decompose the Time x A interaction separately into the differences in times in groups 1 and 2 we can use the below. Further details are available [[http://support.spss.com/ProductsExt/SPSS/Documentation/Statistics/articles/simple.htm|here.]] |
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| See David Nichols's illustrations using the above SPSS syntax for explaining all types of interactions [attachment:simple.txt here.] There are also illustrations of simple effects in the [http://imaging.mrc-cbu.cam.ac.uk/statswiki/StatsCourse2006 ANOVA Grad talk] and [attachment:lmat.sps some SPSS syntax here for two-way interactions.] | See David Nichols's illustrations using the above SPSS syntax for explaining all types of interactions [[attachment:simple.txt|here.]] There are also illustrations of simple effects in the [[http://imaging.mrc-cbu.cam.ac.uk/statswiki/StatsCourse2006|ANOVA Grad talk]] and [[attachment:lmat.sps|some SPSS syntax here for two-way interactions.]] |
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| [wiki:FAQ Return to Statistics FAQ page] | [[FAQ|Return to Statistics FAQ page]] |
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| [wiki:CbuStatistics Return to Statistics main page] | [[CbuStatistics|Return to Statistics main page]] |
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| [http://www.mrc-cbu.cam.ac.uk/ Return to CBU main page] | [[http://www.mrc-cbu.cam.ac.uk/|Return to CBU main page]] |
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| These pages are maintained by [mailto:ian.nimmo-smith@mrc-cbu.cam.ac.uk Ian Nimmo-Smith] and [mailto:peter.watson@mrc-cbu.cam.ac.uk Peter Watson] | These pages are maintained by [[mailto:ian.nimmo-smith@mrc-cbu.cam.ac.uk|Ian Nimmo-Smith]] and [[mailto:peter.watson@mrc-cbu.cam.ac.uk|Peter Watson]] |
SIMPLE MAIN EFFECTS
Click here
to find out how to use EMMEANS in GLM to test simple main effects. You can additionally also add ADJ(BONFERRONI) or ADJ(SIDAK) to the /EMMEANS subcommand line to correct for multiple t-tests and use /EMMEANS for designs involving only between subjects factors (see some examples here.)
Simple effects involving between subject factors can also be specified in SPSS using the /LMATRIX subcommand and the /MMATRIX subcommand for within subjects factors or combinations of the two. See also.
MANOVA can also be used to compare pairs of within subjects factor levels in each group separately using the overall Mean Square Error which was used for testing the original interaction which was computed using all the groups. For example to decompose the Time x A interaction separately into the differences in times in groups 1 and 2 we can use the below. Further details are available here.
MANOVA V1 V2 BY GROUP(1,2) /WSFACTORS=TIME(2) /DESIGN=MWITHIN GROUP(1), MWITHIN GROUP(2).
See David Nichols's illustrations using the above SPSS syntax for explaining all types of interactions here. There are also illustrations of simple effects in the ANOVA Grad talk and some SPSS syntax here for two-way interactions.
Return to Statistics main page
These pages are maintained by Ian Nimmo-Smith and Peter Watson
[Last updated on 14 April, 2004]