

Regions of Significance with respect ... 

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I was wondering whether the following is possible in Mplus: I have an effect of X on Y with a dichotomous moderator Z. I would like to define regions of significance: specific values of X at which the regression of Y on X is different between the two values of Z. In other words, I would like to examine the values of X for which the moderator Z and outcome variable Y are significantly related. Thank you very much! 


See the loop plot of Example 3.18. 

Tess Tagge posted on Monday, November 13, 2017  7:29 pm



I am trying to probe latent categorical interactions using the JohnsonNeyman technique. I used the loop plot from example 3.18, but I am unsure where to find the specific values and 95% CIs. My syntax is attached if that is helpful: USEVARIABLES ARE GEN AGE DAS1 DAS2 AG CO EX NE OP PSC1PSC19; CLUSTER IS CPL; CATEGORICAL ARE PSC1PSC19; ANALYSIS: ESTIMATOR IS MLR; TYPE IS RANDOM COMPLEX; MODEL: COMM BY *PSC1PSC19; COMM@1; [COMM@0]; CGEN  COMM XWITH GEN; CEX  COMM XWITH EX; CAG  COMM XWITH AG; CCO  COMM XWITH CO; CNE  COMM XWITH NE; COP  COMM XWITH OP; DAS2 ON COMM (b1) AG (b2) CAG (b3) OP (b4) COP (b5) CCO CEX CNE CGEN CO EX NE GEN AGE DAS1; MODEL CONSTRAINT: PLOT (lowAG highAG lowOP highOP); LOOP(PSC, 3, 3, 0.1); lowAG = (b1+b3*(1))*PSC+b2*(1); highAG = (b1+b3*(+1))*PSC+b2*(+1); lowOP = (b1+b5*(1))*PSC+b4*(1); highOP = (b1+b5*(+1))*PSC+b4*(+1); PLOT: TYPE = PLOT2; OUTPUT: TECH1 TECH8 STAND SAMPSTAT CINT; 


Send the output file and the gh5 file so we can look at the plots. 

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