I run a genlinmixed in spss 26 (i added fixpack1, but this did not help) with weeks nested in ID:
GENLINMIXED /DATA_STRUCTURE SUBJECTS= id*weeks
/FIELDS TARGET= my_DV TRIALS=NONE OFFSET=NONE
/TARGET_OPTIONS DISTRIBUTION=NORMAL LINK=IDENTITY
/FIXED EFFECTS= my_covariate
USE_INTERCEPT=TRUE
/RANDOM EFFECTS= my_covariate
USE_INTERCEPT=TRUE SUBJECTS=id COVARIANCE_TYPE=VARIANCE_COMPONENTS
of around 460 subjects (ID). Around 400 are fine (predicted and observed do fit), but some are ugly (e.g. observed incline, but predicted decline and vice versa).
Is that a general = known problem? can someone help?
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Micha
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#SPSSStatistics