Re: Running MIXED with time as a factor
Posted by
Ryan on
Jun 07, 2012; 10:16pm
URL: http://spssx-discussion.165.s1.nabble.com/Running-MIXED-with-time-as-a-factor-tp5713561p5713588.html
For some reason I never received the original post in my inbox. At any rate, I have concerns about both the complexity of the fixed effects component and type of the random effects covariance structure selected.
Since the OP has not provided any information regarding the actual study, variables, data, research questions, etc., it's not possible for me to provide any general advice about the model in question.
Finally, given the way the specific question was stated, it's likely the OP's understanding of the fixed effects coefficients is incorrect.
Ryan
MIXED has an EMMEANS sub-command. You can use it to generate fitted values
of Y at various combinations of the explanatory variables. Will that give
you what you're after? Here's an example for a much simpler model from the
fine manual.
MIXED Y BY A B WITH X
/FIXED A B X
/EMMEANS TABLES(A*B) WITH(X=0.23) COMPARE(A) ADJ(SIDAK)
/EMMEANS TABLES(A*B) WITH(X=MEAN) COMPARE(A) REFCAT(LAST) ADJ(LSD).
MIXED also has a TEST sub-command, which can be used for crafting any
comparisons you wish to make. See several posts to this list by Ryan for
nice examples of how to use it.
HTH.
kine wrote
>
> Dear subscribers,
>
> I would like to get the parameter estimation on ALL the categories (time
> 1, time 2, time 3) in my three-way interaction analysis. As of now, SPSS
> only estimates time 1 and 2 (as it often does with categorical data).
>
> How may I obtain this information? Please find present syntax below:
>
> mixed Exlog with OPce Posce pssce pcsce Gender Age Sector Respons Tenure
> Hour_w BY time
> /CRITERIA=MXITER (5000)
> /print=solution
> /method=reml
> /fixed = Gender Age Sector Respons Tenure Hour_w OPce time OPce*time
> OPce*POSce OPce*PsSce OPce*PcSce PoSce pssce pcsce pssce*time pcsce*time
> Posce*time POSce*OPce*time PsSce*OPce*time PcSce*OPce*time
> /random intercept time | subject(id) covtype(VC).
>
> Best regards,
> Kine
>
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