A simulation model was developed for generating
item responses from a multidimensional latent trait
space The model permits the prepotency of a general
latent trait underlying responses to all simulated items
to be varied systematically. Five levels of prepotency
were used to generate data sets The levels of prepotency
ranged from a truly unidimensional latent trait
space to a very weak general latent trait. Simulated
item pools with guessing and without guessing were
analyzed by the LOGIST computer program The general
latent trait was recovered in data sets where the
prepotency of the general latent trait was only moderate.
Consequently, it appears that item response theory
models can be applied to moderately heterogenous
item pools under the conditions simulated here.
Drasgow, Fritz & Parsons, Charles K. (1983). Application of unidimensional item response theory models to mutidimensional data. Applied Psychological Measurement, 7, 189-199. doi:10.1177/014662168300700207
Drasgow, Fritz; Parsons, Charles K..
Application of unidimensional item response theory models to mutidimensional data.
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