How to Use SPSS: Little's Missing Completely at Random (MCAR) Test
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- Опубликовано: 22 авг 2024
- Test to determine if missing data is missing in a random or non-random pattern. Assists in deciding which technique may be most appropriate for replacing missing data.
Thanks for this demonstration. I performed this technique on my data but SPSS is not calculating the Little's test. This is what I get: "Little's MCAR test: Chi-Square = .000, DF = 0, Sig. = ." What could be the problem?
Hello. I noticed that the output did not include any results for the categorical variable "sex". Does this mean that the Little´s MCAR test doesn´t work for such type of variables? Thanks!
+Ka Pa, check to be sure your variables are categorized properly in the Variable View tab. The data Type should be labeled as Numeric.
Thank you for posting. When I run this, I got a little note that says "the em algorithm failed to converge in 25 iterations." Any insight as to what this means?
What can you eventually say about the randomness of the missing values on the categorical variable?
From the chi square test we have DF= 9, chi square = 6.225, sig= 0.717.
From the chi square table we have for DF= 9, 5.38
Your interpretation is correct.
Does Little's MCAR test only work for quantitative variables? When I select only categorical variables, Little's MCAR results are not included in the output.
+Afton J Yes, it is meant for numeric variables.
Thank you. What are the other tables in the output .. are they not required for this analysis?
Hey....I am currently Working on a Survey data.. i have few queries....
1) How to find the data is random or Non-random data?
I have done Little MCAR test - Chi Square - 592350 , DF - 590454, Sig =0.37
Is the data is random data or not ???
Siva Balaji Based upon your p value the data is not missing at random.
What about when Little's MCAR shows that the data is not missing completely at random, does the test give any info as to point out where the problem might be? Where to go after that?
When you perform an imputation technique there are more detailed diagnostic functions that will give you an idea which variables appear to be missing data in a non-random way.