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Hello Mplus experts:
Is it possible in Mplus to conduct moderation analysis with categorical variables across the spectrum.
Two moderator variables (e.g. gender, and ethnicity)
one dichotomous categorical independent variable (that the above two variables moderate to predict)
and one binary outcome.
Would you be so kind and share a script example and/or a paper where this type of moderation analysis was used?
thank you very much
Christos |
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| Yes. You use Define to create the interaction between gender and the IV and between ethnicity and the IV. You put the binary outcome on the Categorical list (only this outcome). |
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! Create interaction term
DEFINE:
XG = X*G;
XED1 = X*ED1;
XED2 = X*ED2;
XED3 = X*ED3;
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
BOOTSTRAP = 10000;
MODEL:
[Y$1] (b0);
Y ON X (b1);
Y ON G (b2);
Y ON ED1 (b3);
Y ON ED2 (b4);
Y ON ED3 (b5);
Y ON XG (b6);
Y ON XED1 (b7);
Y ON XED2 (b8);
Y ON XED3 (b9); |
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Does the above make sense?
Before that here is the setting:
! Predictor variable - X (Question: 1- 5 Likert Scale)
! Moderator variable(s) – G (Gender-dichotomous)
! Moderator variable(s) - E (Ethnicity - 4 categories, represented by dichotomous 0/1 dummy variables ED1, ED2, ED3 the fourth is the reference))
! Outcome variable - Y - a dichotomous outcome, coded 0/1
USEVARIABLES = X G ED1 ED2 Y XG XED1 XED2 XED3;
CATEGORICAL = Y; |
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and after the Y On ED3 (b9);
! Use model constraint subcommand to test simple slopes
! You need to insert your respective dummy variable values, 0 and 1, for each group of W
MODEL CONSTRAINT:
NEW(SIMP_W1 SIMP_W2 SIMP_W3);
! Now calc simple slopes for each group of W
SIMP_E1 = b1 + b7;
SIMP_E2 = b1 + b8;
SIMP_E3 = b1 + b9;
SIMP_E4 = b1;
! Use loop plot to plot model for values of E = 0, E = 1
! NOTE - values of 1,5 in LOOP() statement need to be replaced by
! logical min and max limits of predictor X used in analysis
PLOT(LINE_E1 LINE_E2 LINE_E3 LINE_E4);
LOOP(XVAL,1,5,0.1);
LINE_E1 = (b0 + b3) + (b1 + b7)*XVAL;
LINE_E2 = (b0 + b4) + (b1 + b8)*XVAL;
LINE_E3 = (b0 + b5) + (b1 + b9)*XVAL;
LINE_E4 = b0 + b1*XVAL;
PLOT:
TYPE = plot2;
OUTPUT:
STAND CINT(bcbootstrap); |
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Does the above code make sense to you?
Did I understand what you are suggesting?
Thank you Dr. Muthen for your reply
I can send demo dataset and the script into your support if you deem appropriate.
Christos |
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Corrections
where it says:
MODEL CONSTRAINT:
NEW(SIMP_W1 SIMP_W2 SIMP_W3);
it is
MODEL CONSTRAINT:
NEW(SIMP_E1 SIMP_E2 SIMP_E3); |
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| We ask that postings be limited to one window. For longer messages, send to Support along with your license number. |
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| Sure I am sorry for the inundation of messages. This was the only way to show you what I meant and also inform the community for additional questions. I will forward to support along with license as you advised |
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Good Afternoon:
I am trying to follow the process for moderation with a categorical moderator and binary (gender) IV with a continuous outcome. I don't think I'm starting out correctly with my variable names. relage is categorical with 4 categories. rad1-4 are each category with grad1-4 being the interaction term. inatt and hyper are both outcome variables which will be run separately.What am I missing??!! The error message says rad2 is not defined.
VARIABLE:
names = gen hyper inatt relage;
USEVARIABLES = gen inatt rad1 rad2 rad3 grad1 grad2 grad3;
! Create interaction term.
! Note that it has to be placed at end of USEVARIABLES
DEFINE:
IF(relage 1) then rad1=1 rad2=0 rad3=0;
IF(relage 2) then rad2=1 rad1=0 rad3=0;
IF(relage 3) then rad3=1 rad2=0 rad1=0;
IF(relage 4) then rad1=0 rad2=0 rad3=0;
grad1 = gen*rad1;
grad2 = gen*rad2;
grad3 = gen*rad3; |
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| We need to see your full output - send to Support@statmodel.com along with your license number. |
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