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Karen Chan posted on Sunday, September 26, 2010 - 8:17 pm
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hi all, i'm wondering if i could study the relationship between some variables with sem. Here are the variables: Independent variable - X1 (categorical, 2 levels, experimentally manipulated, within-subject), X2 (categorical, between-subject, moderator variable), X3/Y1 (continuous, within-subject, also a dependent variable) Dependent variable - Y1/X3 (continuous, within-subject, also an independent variable), Y2 (continuous, within-subject) The paths that i want to include are the following: X1->Y1 X3->Y2 X2 has a moderating effect on X1->Y1 How can I do that using Mplus and how might the input file look like? I'm using the .dat file. |
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WITHIN = x1 x3 y1 y3; BETWEEN = x2; MODEL: %WITHIN% s | y1 ON x1; y2 ON x3; %BETWEEN% s ON x2; |
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Amy Walzer posted on Saturday, February 22, 2014 - 8:42 pm
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Hello all, I am having some difficulty determining the syntax for the model I need to test. I believe it is a moderated mediation. Here are my variables: - Gender - IV, Experimentally manipulated, categorical (2-levels), between subjects - Comp - Mediator between Gender and Comp, continuous - Goal Diff - DV, continuous - Sexism - Moderator of Comp on Gender, continuous, between subjects - Goal Type - Moderator of Goal Diff on Comp, experimentally manipulated, categorical (2 levels; learning goal vs. performance goal), within subjects I want to know: - Does Comp mediate the relationship between Gender and Goal Diff? - Does Sexism moderate the relationship between Gender and Comp? - Does Goal Type (within-subjects) moderate the relationship between Comp and Goal Diff? What would the input look like for this model? Given that Goal Type is a within-subjects variable, do I need to have two lines of data per participant, one for each Goal Type (learning goal and performance goal)? What analysis type would this be? I know this is a lot to ask so any help people could provide would be greatly appreciated! Warm regards, Amy |
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Example 3.18 is moderated mediation. See if that helps you. |
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Amy Walzer posted on Saturday, April 19, 2014 - 11:20 am
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Hello, Looking at the example was very helpful to me. Thank you! I am still having difficulty figuring out how to deal with my within subjects manipulated variable (X2). I want to see if it moderates the relationship between a latent continuous variable (X1) and an observed dependent variable (Y). Specifically, I assume I need two lines of data per participant (one for each level of X1). Is this correct? Also, what might this input look like? Thank you for your help, Amy |
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You can create an interaction between a latent variable and an observed variable using the XWITH option. |
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Amy Walzer posted on Tuesday, May 06, 2014 - 4:59 pm
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I have figured that part out but I am now wondering if my data is set up correctly. I have a within subjects variable that was experimentally manipulated (2 levels). Does this mean I need two lines of data per person? |
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No. Your X2 variable has 2 values. Some subjects (lines in your data) have one of the 2 levels some have the other. |
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Amy Walzer posted on Tuesday, May 06, 2014 - 7:38 pm
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So I may have been a little unclear in my previous post. I am interested in whether X1 (a continuous, latent variable) is related to X2/Y1 (a within-subjects, 2-level, manipulated variable, also a dependent variable). I also want to know if X2 moderates the relationship between X1 and Y1. Given that all of my participants completed the measures for both levels of the X2/Y1. I'm not sure I understand how I would not need two lines of data per person. I really appreciate all of your help with this! |
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It sounds like you would need one column for each condition. If each person completed each condition, I think they would have a value for each condition and therefore each condition would represent a variable. |
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Amy Walzer posted on Wednesday, May 07, 2014 - 8:03 pm
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That makes sense but with the within-subjects variable represented in two columns I'm not sure how I would test the within-subjects variable (X2/Y1) as a moderator between X1 (continuous, latent) and Y1. Can you provide any insight on this? |
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See Example 3.18. This shows moderated mediation. |
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