I run a genlinmixed in spss 26 (i added fixpack1, but this did not help) with ML structure,
GENLINMIXED /DATA_STRUCTURE SUBJECTS= id*weeks
/FIELDS TARGET= kcalkg 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, 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 me?
m
#SPSSStatistics#Support#SupportMigration