15-02-2008 08:22

Thank for this email, Chris. 
 
Winsteps would implement CMLE (and I will probably include it in a future upgrade to Winsteps), but the problems with CMLE are: 
a) long test length (loss of computational precision) 
b) missing data (only a few, well defined, missing data patterns allowed) 
The more complex the concurrent equating situation, the more difficult to implement with CMLE. 
 
MMLE for concurrent equating has the problem that sample distributions have to be specified in advance when often that is a finding, not an assumption. This is noticeable in educational and medicals applications when the sample distribution is truncated to "only high- (or low-) performers on the screening test take the full test", etc. 
 
Cordially, 
Mike L.

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