Hello:
I am trying to run REALCOM-IMPUTE but I keep getting an error message "The program can't start because mclmcrrt710.dll is missing from your computer. I assume that this is because I installed the wrong version of MATLAB runtime. I installed the R2012b Windows 32-bit version MATLAB runtime as ...
Search found 11 matches
- Sun Oct 16, 2016 11:54 pm
- Forum: Realcom user forum
- Topic: Installing REALCOM-IMPUTE
- Replies: 1
- Views: 61619
- Tue Apr 29, 2014 5:20 pm
- Forum: MLwiN user forum
- Topic: multivariate multiple membership models
- Replies: 5
- Views: 7901
Re: multivariate multiple membership models
That is what I had done originally. It does give reasonable results. The only problem is that when I set up the multiple membership model in the classification window and click done, I get a pop-up window that says "multiple membership column wrong length(XCLA)". If I click OK for that pop-up and ...
- Wed Apr 16, 2014 5:15 pm
- Forum: MLwiN user forum
- Topic: multivariate multiple membership models
- Replies: 5
- Views: 7901
Re: multivariate multiple membership models
I tried this but the results don't look right. When I fit a univariate multiple membership model for reading I get a 3rd level variance component of 10.436.
When I fit a multivariate multiple membership model for reading and math I get a 3rd level variance component of 5.676. In both cases I have a ...
When I fit a multivariate multiple membership model for reading and math I get a 3rd level variance component of 5.676. In both cases I have a ...
- Thu Apr 10, 2014 10:39 pm
- Forum: MLwiN user forum
- Topic: multivariate multiple membership models
- Replies: 5
- Views: 7901
multivariate multiple membership models
Hello:
I am attempting to fit a multivariate multiple membership models. I am following the same procedures as for a univariate multiple membership model with weights and higher level id's in consecutive columns. The weights are weight1, weight2 and the ids are picx1 picx2 where the picx's indicate ...
I am attempting to fit a multivariate multiple membership models. I am following the same procedures as for a univariate multiple membership model with weights and higher level id's in consecutive columns. The weights are weight1, weight2 and the ids are picx1 picx2 where the picx's indicate ...
- Wed Oct 30, 2013 7:13 pm
- Forum: MLwiN user forum
- Topic: constraints for multilevel ordinal response model
- Replies: 8
- Views: 10642
Re: constraints for multilevel ordinal response model
Thanks so much!
That worked!
That worked!
- Wed Oct 30, 2013 5:58 pm
- Forum: MLwiN user forum
- Topic: constraints for multilevel ordinal response model
- Replies: 8
- Views: 10642
Re: constraints for multilevel ordinal response model
Then the issue is where I can join my constraints to the already existing constraints?
Here's where I think the relevant code is from BVAR.MC
case 1:
note ordered multinomial
switch b9
case :
note 1st iter constrain (p=mvar)
count c1096 b201
switch b201
case 0:
put 1 0.1 c1096
set b201 1 ...
Here's where I think the relevant code is from BVAR.MC
case 1:
note ordered multinomial
switch b9
case :
note 1st iter constrain (p=mvar)
count c1096 b201
switch b201
case 0:
put 1 0.1 c1096
set b201 1 ...
- Wed Oct 30, 2013 3:09 pm
- Forum: MLwiN user forum
- Topic: constraints for multilevel ordinal response model
- Replies: 8
- Views: 10642
Re: constraints for multilevel ordinal response model
I think that you are exactly right. When I do SETT I get
RCONstraints in c1488 .
However when I look at the macro bvar.mc, I don't see how it sets that column for the constraints.
I do see b4 and cb4. Does cb4 refer to b4? Is b4 actually c1488?
Any thoughts?
Steve
RCONstraints in c1488 .
However when I look at the macro bvar.mc, I don't see how it sets that column for the constraints.
I do see b4 and cb4. Does cb4 refer to b4? Is b4 actually c1488?
Any thoughts?
Steve
- Wed Oct 30, 2013 4:41 am
- Forum: MLwiN user forum
- Topic: constraints for multilevel ordinal response model
- Replies: 8
- Views: 10642
Re: constraints for multilevel ordinal response model
I tried the following
JOIN 1 0 0 1 C118
RCON C118
but the constraints were not applied. The estimated variance component was 0.153, not 1.0.
JOIN 1 0 0 1 C118
RCON C118
but the constraints were not applied. The estimated variance component was 0.153, not 1.0.
- Mon Oct 28, 2013 5:46 pm
- Forum: MLwiN user forum
- Topic: constraints for multilevel ordinal response model
- Replies: 8
- Views: 10642
constraints for multilevel ordinal response model
The question I am trying to ask on the user forum concerns setting constraints on variance parameters. I have a 3 level random effects model where the response varialbe is ordered multinomial. The 3 levels are teacher, time and item. Teacher and time are defined as simple random effects. I wish to ...
- Wed Sep 11, 2013 5:34 pm
- Forum: MLwiN user forum
- Topic: Worksheet Size
- Replies: 0
- Views: 9858
Worksheet Size
I used to be able to change the worksheet size by choosing options and changing the (k cells) in the worksheet tab of settings. However, lately when I do this I notice the that entry always returns to a value of 100000 whether I increase or decrease the size. That is, when I choose worksheet again ...