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Do you need to do multiple imputation in Amos?
AMOS doesn’t do multiple imputation, but you don’t need it to. It does maximum likelihood. You might find this helpful, though it’s not exactly what you’re doing: How to Use Full Information Maximum Likelihood in AMOS to Analyze Regression Models with Missing Data
Which is the default item in Amos estimates?
The default item for the Estimates/Bootstrap Contents table is Estimates. Some AMOS users prefer to have the entire output displayed in the window and just scroll down to the section that they want. Also, you can easily print the entire output in one print request.
Where do I find CIS and p-values in Amos?
The CIs and p-values are included in the text output for AMOS. You can get the significance levels for bootstrap estimates of each parameter. If you are viewing the output in the default mode, with only the tables highlighted in the contents tree appearing in the output panel, it can take a little searching to find the tables you want.
Can you run multiple linear regression in Amos?
AMOS is a structural equation modeling package, but it can run multiple linear regression models. AMOS is easy to use and is now integrated into SPSS, but it will not produce residual plots, influence statistics, and other typical output from regression packages.
How are multiple imputations used for missing data?
Multiple Imputation for Missing Data: A Cautionary Tale, Sociological Methods and Research, 28, 301-309. Learn the different methods for dealing with missing data and how they work in different missing data situations. Take Me to The Video!
Why does Amos say model appears to be unidentified?
AMOS output included the message: “The model appears to be unidentified. Imputation cannot be performed”. Is the model unidentified because such a large proportion of the data has missing values? If this so, is there any way to impute for the missing values in my data set using Amos?
How to impute data when model is unidentified?
I tried to impute the missing values using regression imputation based on Maximum likelihood estimation in Amos. AMOS output included the message: “The model appears to be unidentified. Imputation cannot be performed”. Is the model unidentified because such a large proportion of the data has missing values?