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I'm trying to perform multiple imputation for a two level longitudinal analysis. I have missing on both DV and covariates.
Every subject is measured on 3 variables (SCORE1L1 SCORE2L1 SCORE3L1) at several timepoints (TIME) . I also have three level-2 covariates (AGE SEX SES).
My syntax is the following:
VARIABLE:
NAMES = SubjectID TIME AGE SEX SES SCORE1L1 SCORE2L1 SCORE3L1 GROUP1 GROUP2;
USEVARIABLES = TIME AGE SEX SES SCORE1L1 SCORE2L2 SCORE3L1;
cluster = SUBJECTID;
between = AGE SEX SES;
within = TIME;
auxiliary = GROUP1 GROUP2;
Missing = .;
DATA IMPUTATION:
IMPUTE = AGE SEX (c) SES (c);!only covariates, no DV
NDATASETS = 20;
SAVE = missimp*.dat;
1) is the syntax correct in order to handle the two level structure ?
2) should TIME be included on "within =" ? Or should I remove it from the USEVARIABLES and add it to Auxiliary ?
3) Is it correct that I don't have to worry about missing on the DV's since they will be handeled through FIML.
Thank you very much, Philippe |
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| You are now in the wide format with your data so multilevel modeling is not needed. You don't need the CLUSTER, BETWEEN, or WITHIN options. See Chapter 6 where the wide versus long format is discussed. See also Example 11.5 for imputation. |
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| Thank you very much for your answer. My data is in the long format. I wanted to stay in the two level framework (and not move into LGCA using the wide format). My concern is that the imputations of level-2 covariates will not vary within subjets. |
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| The wide format makes for more flexible modeling. I would suggest that given your concerns. |
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Thank you!
Philippe |
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Hi,
I am trying to create 10 imputed datasets for a twolevel model, however, I don't get any output file. When I run the input file, it seems to be working, creates a list file, but no datasets are created and the list file is empty.
My syntax reads:
VARIABLE:
NAMES ...;
USEVARIABLES ARE zGender AtHome InSchool NoArrest Language100 zRace zCaseProgressReview Txlengt zTherapistID cohort;
AUXILIARY = famav19 therexp teamyexp team1-team26;
CLUSTER = zTherapistID cohort;
CATEGORICAL = athome inschool noarrest;
MISSING ARE ALL (999);
DATA IMPUTATION:
IMPUTE = zgender(c) Language100(c);
NDATASETS = 10;
SAVE = TotalFile19.ftl*.dat
ANALYSIS:
TYPE = COMPLEX TWOLEVEL;
PROCESSORS = 2;
ESTIMATOR = BAYES;
OUTPUT: TECH8;
1) Would you have any idea what is going wrong?
2) Is this the correct way the specify a H1 model?
3)Is it true that the default is to estimate a variance covariance model? How would I need to specify a sequential regression model?
Thank you for your advice!
Aurelie |
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| You cannot impute using COMPLEX TWOLEVEL just TWOLEVEL. |
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