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Hi Dr. Muthen,
Do you know of any good resources for understanding sample size requirements for FIML and proportion of missing data?
Thank you!
Hillary |
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You can check Chapter 10 of our new book:
http://www.statmodel.com/Mplus_Book.shtml
See also the missing data book by Craig Enders. |
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Hi Dr. Muthen,
Thank you very much for these resources! I took a look through them and they are very helpful. I am still a little confused about the proportion of data present that I need for FIML.
For example, I know that 50% of missing data is likely too much missing data for FIML to manage (and too much missing data to successfully impute). Is 1/3 (33%) missing data too much?
Thank you!
Hillary |
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| It really depends on how selective the missing data is. You should look at how sample statistics differ for variables without missing for those with 50% or 33% missing(on other variables) versus those without that missingness. 33% missing may still be too high. |
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Hi Dr. Muthen,
Thank you for your response. I am not sure I understand what you mean. I ran descriptives for the group with 33% missing data and those not missing that data. How can I tell how selective the missing data is?
Thank you!
Hillary |
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| Check if the means of the variables are different in these 2 groups. |
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| Means are 43 vs. 57. Highest possible score is 102. Is that too high? |
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| You should discuss this with a statistical consultant. |
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