Wow, thank you all for the ellaborate and quick replies!
This is very helpful.
Best regards, Kine
Sendt fra min iPhone
Den 7. juni 2012 kl. 16:20 skrev "Poes, Matthew Joseph" <[hidden email]>:
> I think you may be a bit confused on how to interpret the coefficients. The 3rd category is in the model, it's just a redundant parameter. All the information for getting the time 3 coefficient is in the model. Let's look at it a bit more simply first. If you had a model that only had time and nothing else. Then time 3 would be the intercept value. Now let's add in a gender variable. If 1 is Boy, then the intercept is now the time 3 coefficient for girls. If you believe growth is different for boys and girls, you would include an interaction for gender by time. So how do you know the time 3 coefficient for boys. It's the intercept plus the different for gender, plus the time coefficient plus the difference for gender of that. Where is that coefficient, it's the interaction coefficient.
>
> I know a lot of people will calculate all the coefficients in something like excel to make this easier, and that is certainly something you could do.
>
> Matthew J Poes
> Research Data Specialist
> Center for Prevention Research and Development
> University of Illinois
> 510 Devonshire Dr.
> Champaign, IL 61820
> Phone: 217-265-4576
> email: [hidden email]
>
>
> -----Original Message-----
> From: SPSSX(r) Discussion [[hidden email]] On Behalf Of kine
> Sent: Thursday, June 07, 2012 9:00 AM
> To: [hidden email]
> Subject: Running MIXED with time as a factor
>
> 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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>
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