Cognitive psychometrics: Assessing storage and retrieval deficits in special populations with multinomial processing tree models.

2002 ◽  
Vol 14 (2) ◽  
pp. 184-201 ◽  
Author(s):  
David M. Riefer ◽  
Bethany R. Knapp ◽  
William H. Batchelder ◽  
Donald Bamber ◽  
Victor Manifold
Keyword(s):  
Special Populations ◽  
Multinomial Processing Tree Models ◽  
Storage And Retrieval ◽  
Multinomial Processing Tree ◽  
Tree Models

A Hierarchy of Multinomial Models for Multidimensional Source Monitoring

Methodology ◽  
2005 ◽  
Vol 1 (1) ◽  
pp. 2-17 ◽  
Author(s):  
Thorsten Meiser
Keyword(s):  
Cognitive Processes ◽  
Source Monitoring ◽  
Source Information ◽  
Model Comparisons ◽  
Storage And Retrieval ◽  
Multinomial Processing Tree ◽  
Multinomial Models ◽  
Hierarchical Relationship ◽  
Statistical Framework ◽  
Tree Models

Abstract. Several models have been proposed for the measurement of cognitive processes in source monitoring. They are specified within the statistical framework of multinomial processing tree models and differ in their assumptions on the storage and retrieval of multidimensional source information. In the present article, a hierarchical relationship is demonstrated between multinomial models for crossed source information ( Meiser & Bröder, 2002 ), for partial source memory ( Dodson, Holland, & Shimamura, 1998 ) and for several sources ( Batchelder, Hu, & Riefer, 1994 ). The hierarchical relationship allows model comparisons and facilitates the specification of identifiability conditions. Conditions for global identifiability are discussed, and model comparisons are illustrated by reanalyses and by a new experiment on the storage and retrieval of multidimensional source information.

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