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Hi Timm, Just to clarify. Stata refers to the exponentiated regression coefficients from a multinomial logistic regression as "relative-risk ratios". This is the what the original post requested and Chris's proposed solution gives the user these ratios. http://www.stata.com/manuals14/rmlog...

Hi Vivian, While the one-sided p-values are displayed by default, if you instead specify the zratio option you will get "conventional" p-values based on assuming the parameters have normal sampling distributions. These p-values are associated with two-sided hypothesis testing. Best wishes ...

Hi Gerine,

If you haven't already done so, I recommend that you read the Multiple Membership module of our LEMMA online course for a good overview of what these models can and can't do.

Hope that helps

George

Hi Gerine, MlwiN like all standard software will listwise delete the data (drop rows where there are one or more missing values in the response or covariates) prior to fitting any specified model. So it depends on what you intend to do with your data. If you want to regress grade 8 score on grade 5,...

Hi Gerine, Its all about the level-1 observations. Each observation belongs to one child, one class and one school. The data are therefore cross-classified rather than multiple membership. So what you want to do is fit cross-classified models rather than multiple membership models. I hope that helps...

Hi Bernie, Thanks for providing the full runmlwin syntax. It looks correct for specifying a cross-classified model. Each response measurement belongs to only one interviewer so do not refer to the data structure or the above model as multiple membership as this implies that each response measurement...

Hi Vivian,

As far as I can see what you have done looks correct. I am guessing that the other 12 rows correspond to scenarios where two or more dummies are switched on simultaneously which of course do not make sense in your example. So yes ignore these 12 other rows.

Best wishes

George

Hi Bernie, The data sound cross-classified rather than multiple membership. Each response score belongs to one respondent and one interviewer rather than multiple individuals or multiple interviewers. In terms of your runmlwin syntax, I wasn't clear to what the xwaveid identifer referred to. You als...

Hi Gerine, There is a lot of information here. However, as far as I can see your scores are the level-1 units in cross-classified data structure rather than a multiple membership structure. You have a separate score for each child in each wave. So each score is associated with one child, one class a...

Hi Vivian, Yes. What you have done should work. Please can you send through more details about the MLwiN crash. Alternatively, the more "runmlwin" approach would be to calculate these predicted probabilities in Stata. See http://www.bristol.ac.uk/cmm/media/runmlwin/11_Fitting_an_Ordered_Ca...