If you are talking about the ratio of the parameter estimate to the standard error of the parameter estimate in column three of the results, this is a univariate z-test.
ben kübler posted on Wednesday, May 07, 2008 - 10:23 am
Yes, i mean the tird column of the Results from the Structural Model "SEM" with the command "Factor on Factor" which shows the significance for the Path. In LISREL its used a T-Test so we thought in M+ its used the same Test?
I am interested in conducting a simple paired t-test (comparing time1 to time2 on the same variable) while using FIML to handle the missing data. However, I have not been able to find documentation on how to achieve this in Mplus. Is this possible in Mplus? Thank you.
Thank you very much. I just ran the data as you described. Can you provide some guidance on the values in the output that I should be using to determine whether the pairs are significantly different? Thanks again.
In the results where fit statistics are given, you will find the results under Wald Test of Parameter Constraints. The null hypothesis is that the parameters are equal. If your p-value is greater than .05, you cannot reject this hypothesis.
Jonathan posted on Thursday, November 07, 2013 - 6:44 pm
I know that I can use MODEL TEST to run a Wald test, which is an omnibus test to see if coefficients are different than each other. So I could run--
MODEL TEST: 0 = a1-a2; 0 = a2-a3; 0 = a3-4;
To see if any of the relationships I specified are different (please correct me on this if I am wrong).
I would like to test to see if *each* relationship is different from each other. So I would like to run something similar to this, but to get separate output for each contrast that I specify. So on the output, I would hopefully have one test statistic for the a1-a2 contrast; another for a2-a3 contrast; etc.
Is this possible in MPlus? Thank you for your time.
The test you shows above tests all effects together. You would need to run them one at a time if you want separate tests. Alternatively, you could create new parameters in MODEL CONSTRAINT for each difference and you will get a z-test for each one.