Comparing fit of nonsubsuming probability models
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Comparing fit of nonsubsuming probability models
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1985
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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.
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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 Digital Conservancy, https://hdl.handle.net/11299/107572.
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