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Wen-Hsu Lin posted on Monday, November 25, 2013 - 6:04 pm
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Hi, I have a modeling question want to ask. Thank you in advance. I have 2 latent variables (L1 and L2). 3 exogenous variables (x1 x2 x3) 1 mediating variable (m1)[nominal with 4 categories] 1 endogenous variable (o1) model (my thinking): I change m1 into three dummy variables m11 m12 m13 MODEL: o1 on x1 x2 x3 L1 L2 m11 m12 m13 L1 L2 on x1 x2 x3 m11 m12 m13 on L1 L2 x1 x2 x3 what is wrong with this? |
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The correct way to do this is described in the following paper which is available on the website: Muthén, B. (2011). Applications of causally defined direct and indirect effects in mediation analysis using SEM in Mplus. Your input using WLSMV is an approximate way to do this. |
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Wen-Hsu Lin posted on Tuesday, November 26, 2013 - 9:13 pm
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In the paper for nominal mediator.Does the threshold for a particular class indicate the relationship between that particular group and the outcome variable? |
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Wen-Hsu Lin posted on Wednesday, November 27, 2013 - 12:54 am
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Sorry, another related but simple question. My first post model, the correlation between m12 and m13 is very high in Mplus output. However, it is only moderate when I use SPSS to estimate this same correlation. Where did I do wrong? |
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I don't know what you mean by your first question. Regarding the m12, m13 correlation, note that there are two kinds of correlations for binary variables: Tetrachorics and Pearson. You may be looking at the former in Mplus and the latter in SPSS. |
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Wen-Hsu Lin posted on Wednesday, November 27, 2013 - 9:24 pm
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Is the threshold represents the impact of a particular known class on outcome variable? |
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Is your outcome categorical and therefore has threshold parameters? Latent class variables don't have threshold parameters. |
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