Title
Comparing fit of nonsubsuming probability models
Abstract
A "mixture" probability model that incorporates
two component models defined by nonsubsuming sets
of parameters is introduced, and a strategy for using
this model in the selection of a preferred component
model is developed. Example applications of the suggested
strategy are considered for the special case in
which the Rasch item response model and a Latent
State Mastery model are the component models compared.
Simulated data sets generated under each of
these models were used to provide example applications
of the proposed model selection strategy.
Identifiers
other: doi:10.1177/014662168500900301
Previously Published Citation
Alvord, Gregory & Macready, George B. (1985). Comparing fit of nonsubsuming probability models. Applied Psychological Measurement, 9, 233-240. doi:10.1177/014662168500900301
Suggested Citation
Alvord, Gregory; Macready, George B..
(1985).
Comparing fit of nonsubsuming probability models.
Retrieved from the University of Minnesota Digital Conservancy,
https://hdl.handle.net/11299/107572.