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Hi I have a 2 level dataset (question nested within subj). My variables are: I am interested in a model is for the relations in level 1, i.e., I want to examine the withinsubjects relationships of the variables: Reward precits correct both directly and indirectly via time Curiosity precits recall both directly and indirectly via time I used the following code (see below). The code was able to run, but I have few questions: 1. The output specifies correct as a continous variable, but it is actually a dichotomous variable. How do I change it, and does it matter? (reward is dichotomous too, BTW). 2. Other than that, does my code look good? 3. How do I calculate the indirect effect of reward (or OF curios) on correct via time? I know I can multiply the two relevant parameter estimates (e.g. time ON reward and correct On time), but how do I know whether this indirect connection is significant? Many thanks!!! Vered ***** VARIABLE: NAMES ARE subj exp sex age version question reward curios interest correct time; USEVARIABLES ARE subj reward curios correct time; CLUSTER IS subj; WITHIN = reward curios correct time; MODEL: %WITHIN% correct ON reward curios time; time ON reward curios; ANALYSIS: TYPE IS TWOLEVEL; ESTIMATOR IS MLM; ITERATIONS = 1000; CONVERGENCE = 0.000001; 


See our Short Course Topic 11 video and handout as well as our book Regression And Mediation Analysis Using Mplus and its examples  all of this can be accessed via our website. There are special considerations for mediation with a binary outcome. 


Thank you! 

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