Posted by
Oliver on
Mar 24, 2021; 1:48pm
URL: http://spssx-discussion.165.s1.nabble.com/Interpretation-of-interaction-with-time-varying-predictor-Growth-model-tp5740294p5740345.html
Hi everyone,
I thought about something related to my previous question related to the
inclusion of a time-varying moderator (i.e., dep; 0-10) in a model that
examines the effect of time (IV; categorical) on the outcome (pain; 0-10).
The Level 1 (Time * dep) interaction is significant, but I want to interpret
this effect. Results suggest that the degree of within-person changes in
pain across time points varies as a function of concurrent/within-person
changes in the moderator across time points,
For data interpretation/data vizualization, perhaps it could be reasonable
to determine values that correspond to +/- 1SD based on the
cluster/within-person centered scores on the moderator ? These values (i.e.,
+/- 1SD) would be derived based on the grand-mean of centered scores (only
way, I guess), but perhaps this could still be a useful approach ? The
EMMEANS line could look like this:
MIXED Pain BY Time WITH c_Dep
/METHOD = REML
/PRINT = SOLUTION TESTCOV
/FIXED = Time c_Dep Time * c_Dep | SSTYP(3)
/RANDOM = INTERCEPT | SUBJECT(ID) COVTYPE(UN)
/REPEATED = Wave | SUBJECT(ID) COVTYPE(AR1)
/EMMEANS TABLES(TimeC) WITH(c_dep = -0.91) COMPARE(TimeC) ADJ(SIDAK)
/EMMEANS TABLES(TimeC) WITH(c_dep = 0) COMPARE(TimeC) ADJ(SIDAK)
/EMMEANS TABLES(TimeC) WITH(c_dep = 0.91) COMPARE(TimeC) ADJ(SIDAK).
Thanks in advance for your input!
O.
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