In homogeneity analysis, or dual scaling, weights
for item categories are obtained that maximize Cronbach’s
alpha. In this paper these weights are compared
with the optimal scoring weights in the latent trait approach.
This is done on the basis of data generated according
to the two-parameter logistic model. As expected
from a theoretical analysis, the homogeneity
weights show less variation than the optimal weights
of latent trait theory. It is argued that the homogeneity
weights should not be used for item selection.
de Gruijter, Dato N. (1984). Homogeneity analysis of test score data: A confrontation with the latent trait approach. Applied Psychological Measurement, 8, 385-390. doi:10.1177/014662168400800402
De Gruijter, Dato N. W..
Homogeneity analysis of test score data: A confrontation with the latent trait approach.
Retrieved from the University of Minnesota Digital Conservancy,
Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.