DSpace DSpace

University of Minnesota Digital Conservancy >
University of Minnesota - Twin Cities >
Applied Psychological Measurement >
Volume 09, 1985 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/11299/107572

Title: Comparing fit of nonsubsuming probability models
Authors: Alvord, Gregory
Macready, George B.
Issue Date: 1985
Citation: Alvord, Gregory & Macready, George B. (1985). Comparing fit of nonsubsuming probability models. Applied Psychological Measurement, 9, 233-240. doi:10.1177/014662168500900301
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.
URI: http://purl.umn.edu/107572
Appears in Collections:Volume 09, 1985

Files in This Item:

File Description SizeFormat
v09n3p233.pdf988.72 kBPDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.