08-30-2016
emiliefranck
Calcite | Level 5
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04-20-2016
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Latest posts by emiliefranck
Subject Views Posted 1461 08-18-2016 04:22 PM 1507 08-13-2016 03:42 AM 2046 05-12-2016 04:23 AM 2051 05-12-2016 04:15 AM 2047 05-12-2016 04:14 AM -
Activity Feed for emiliefranck
- Posted Re: Interpretation Best Fitting model - Proc Glimmix on SAS Procedures. 08-18-2016 04:22 PM
- Posted Interpretation Best Fitting model - Proc Glimmix on SAS Procedures. 08-13-2016 03:42 AM
- Posted Re: interaction term on Statistical Procedures. 05-12-2016 04:23 AM
- Posted interaction term on Statistical Procedures. 05-12-2016 04:15 AM
- Posted interaction terms on Statistical Procedures. 05-12-2016 04:14 AM
08-18-2016
04:22 PM
Hi there! Thanks for the quick answer! I Used the -2LL of each model and also the parameters! Thanks for the tip, I didn't consider that but will defenitly look at it. However, my models are ready and finished. Now, I have an other question that I would like to ask. Maybe you know the answer to this, but it seems to be a difficult subject. If you estimate two models (both multilevel logistic regressions) to look at the association of the socioeconomic status and alcoholconsumtion. My model contains (1) moderate drinkers, (2) hazardous problematic drinkers and (3) harmful problematic drinkers. The last two groups are also used as one group 'problematic drinkers'. In the first regression I want to look at the odds of being a problematic drinkers (in comparison to moderate drinkers). In the second regression I want to have a closer look at the 'problematic drinkers' and therefore look at the odds of being a harmful problematic drinkers (in comparison to hazardous problematic drinkers). Suppose that the log odds of women in the first regression is -0.45, and in the second regression -1.24. Could I say - with caution - that women seems to have a negative log odds of being a problematic drinker and that the logodds strengthen when the problematic drinking is becoming more dangerous (e.g. harmful drinking). In other words, could I make ane comparisons between the two models, If I do so with some caution? Thanks in advance! Emilie
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08-13-2016
03:42 AM
Dear SAS-users 🙂 I'm doing a Multilevel logistic regression with the proc glimmix statement. For interpretation purposes, I build my model in the following steps (E.G these results are shown in a table) (1) random intercept + level 1 variables (2) random intercept + level 1 variables + interaction terms with gender (I want to look at the possible genderdifferences) (3) random intercept + level 1 variables + level 2 variables (4) random intercept + level 1 variables + level 2 variables + cross level interaction terms. Now it appears that the third step is the best fitting model. However, I want to say something about the second step where I made the interaction terms (step 2 is better fitting than step 1). Can I do this if I mentioned: 'Although step 3 is the best fitting model, It could be interesting to look at model 2 where genderdifferences are exposed. Thanks a lot! Emilie
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05-12-2016
04:23 AM
sorry, I didn't know in wich platform I needed to post this 🙂 First time, so I thought to do so in different platforms because not everybody would see it! My apoligies for this!
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05-12-2016
04:15 AM
Hello! I'm doing a structural equation model with in this case one latent variabele 'SES' and a lot of independent manifest variables and my dependent variable 'alcohol' is also manifest. So I want to make an interaction term between my latent variabele 'SES' and alcohol consumption so that I can see if for example variabele 15 has an effect at this interactionterm (what is the effect of variabele 15 on alcoholconsumption (dependent manifest var) and how does this effect differs between the different SES groups). Now I'm using a proc calis statement with the LINEQS statement: PROC CALIS DATA = ..: LINEQS F1 = ... F2 = .... But how can I define a interaction term between for example F1 (SES in this case) and the manifest variable 'alcohol'? Thank you very much for the help!! Kind regards, Emilie Franck
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05-12-2016
04:14 AM
Hello! I'm doing a structural equation model with in this case one latent variabele 'SES' and a lot of independent manifest variables and my dependent variable 'alcohol' is also manifest. So I want to make an interaction term between my latent variabele 'SES' and alcohol consumption so that I can see if for example variabele 15 has an effect at this interactionterm (what is the effect of variabele 15 on alcoholconsumption (dependent manifest var) and how does this effect differs between the different SES groups). Now I'm using a proc calis statement with the LINEQS statement: PROC CALIS DATA = ..: LINEQS F1 = ... F2 = .... But how can I define a interaction term between for example F1 (SES in this case) and the manifest variable 'alcohol'? Thank you very much for the help!! Kind regards, Emilie Franck
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