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I am a new Mplus user. I am trying to complete EFA for dichotomous data and receive the following messages.
1) WARNING: THE BIVARIATE TABLE OF A5 AND A3 HAS AN EMPTY CELL. I used 999 to denote missing data, and do not think I have any missing data if this is the problem here?
2) WARNING: THE SAMPLE CORRELATION OF A29 AND A1 IS 0.999. DUE TO ONE OR MORE ZERO CELLS IN THEIR BIVARIATE TABLE.
INFORMATION FROM THESE VARIABLES CAN BE USED TO CREATE ONE NEW VARIABLE.
I am just unclear of how I should act on this message. |
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| When a bivariate table between two binary variables has an empty cell, this implies a correlation of one. Both variables should not be used in the analysis because they are not statistically distinguishable. |
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| Aaron Batty posted on Thursday, November 22, 2012 - 8:13 pm
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I have the same issue, but it's reporting that 33 of the 48 items on this test (dichotomous) are involved in "empty cells." As a result, I don't get model fit indices, and can't compare a unidimensional to a multidimensional model (I'm getting similar warnings on both models).
I've never seen this before with other datasets, and I don't understand how I'm getting a correlation of 1 anyway. |
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| Please send the output and your license number to support@statmodel.com. |
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| Nicole D posted on Thursday, June 18, 2020 - 2:24 pm
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Hi there,
I am getting the same error message as above when running a factor analysis with binary variables (i.e., the sample correlation is 1 due to one or more zero cells). When I delete the item that is redundant, I get the same error messages for new variables, and so on until I get very few items and an uninterpretable solution. I'm not sure what to do here. Is it okay to leave the variables in?
Thanks! |
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| This says that the sample latent variable correlations used by WLSMV to fit the model are not well determined - there is not enough information in the data. You can try to avoid this by using ML or Bayes instead of WLSMV but other problems may arise. |
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