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| Class prob. 0.000 and 1.000 for binar... |
 
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Hello,
I'm running a 4-class model using 11 binary indicators. My sample is small, with only 240 cases with missing data. Everything looks fine, except that the class probabilities for some of the indicators were estimated as 1 and 0 (I have included below a portion of the output). Does this mean Mplus did not estimate these parameters and set them as fixed? if so, is this because the sample is too small? or could this be due to a different reason?
I would appreciate any advice.
Thanks!
RESULTS IN PROBABILITY SCALE
Latent Class 1
V42BR
Category 1 0.305 0.166 1.835 0.066
Category 2 0.695 0.166 4.190 0.000
V42CR
Category 1 0.302 0.185 1.635 0.102
Category 2 0.698 0.185 3.776 0.000
V42ER
Category 1 0.587 0.140 4.202 0.000
Category 2 0.413 0.140 2.958 0.003
V30AR
Category 1 1.000 0.000 0.000 1.000
Category 2 0.000 0.000 0.000 1.000
V30DR
Category 1 1.000 0.000 0.000 1.000
Category 2 0.000 0.000 0.000 1.000
V30ER
Category 1 0.758 0.144 5.268 0.000
Category 2 0.242 0.144 1.679 0.093 |
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| Having probabilities of 0 or 1 for some items is useful for the interpretation of the latent classes; these items are clear indicator of class membership. The 0/1 values are either from very large/small logits freely estimated or fixed because they were indeterminately large. This is not necessarily because the sample is small. |
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