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rick gibbon posted on Wednesday, November 03, 2010 - 4:58 pm
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I am using mplus 3. In a regression analysis, my syntax is PC4HEPROB ON PC1ses; PC4HEPROB ON PC1age; PC4HEPROB ON PC3NLE; PC4HEPROB ON pc3finstr; PC4HEPROB ON pc3nghdv; where PC4HEPROB is the outcome and the other are five different covariates. These are 5 simple regressions without adjusting for any covariates in each regression. But the output gives me a multiple regression results PC4HEPRO ON PC1SES -0.059 0.035 -1.703 -0.090 -0.077 PC1AGE 0.015 0.004 3.973 0.022 0.172 PC3NLE 0.030 0.013 2.414 0.046 0.102 PC3FINSTR 0.128 0.038 3.361 0.196 0.154 PC3NGHDV 0.019 0.062 0.310 0.030 0.013 How can I get 5 simple regression results? Thanks a lot. |
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You would need to run 5 separate analyses each with one of the ON statements. |
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rick gibbon posted on Thursday, November 04, 2010 - 6:02 am
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What if I want to run several multiple regessions controlling for the same set of covariates? For example, suppose I am interested in the main effects of PC1ses, PC1age and PC3NLE on the outcome PC4HEPROB controlling for pc3finstr and pc3nghdv. So there are three multiple regressions PC4HEPROB = PC1ses+pc3finstr+pc3nghdv; PC4HEPROB = PC1age+pc3finstr+pc3nghdv; PC4HEPROB = PC3NLE+pc3finstr+pc3nghdv; How can I achieve this in mplus 3? Thanks. |
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You would need to run a separate analysis for each model. The MODEL command defines one model only. |
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rick gibbon posted on Thursday, November 04, 2010 - 11:58 am
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You meant the MODEL command defines one model only for one exogenous variable? Can I have several regressions with different exogenous variables under one Model command? |
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The MODEL command is not limited to one exogenous variable. Please see the examples chapters of the user's guide. |
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