Results 201 to 210 of about 3,569 (224)

Bounds on variances of estimators for multinomial processing tree models

Journal of Mathematical Psychology, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pierre Baldi, William H Batchelder
exaly   +2 more sources

Beta-MPT: Multinomial processing tree models for addressing individual differences

Journal of Mathematical Psychology, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
William H Batchelder
exaly   +2 more sources

Parameter estimation approaches for multinomial processing tree models: A comparison for models of memory and judgment

Journal of Mathematical Psychology, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Julia Gross, Thorsten Pachur
exaly   +3 more sources

A context-free language for binary multinomial processing tree models

Journal of Mathematical Psychology, 2009
Probabilistic binary multinomial processing tree models (BMPTs) are described for categorical data, in which the observed category is a result of occurrence or non-occurrence of some latent binary events. The correspondence between them is described by a binary tree in which the events are the internal nodes while the categories are leafs. An axiomatic
William H Batchelder
exaly   +2 more sources

Multinomial Processing Tree Models of Factorial Categorization

Journal of Mathematical Psychology, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Batchelder, William H., Crowther, Court S.   +1 more
openaire   +2 more sources

Representing probabilistic models of knowledge space theory by multinomial processing tree models

Journal of Mathematical Psychology, 2020
Supplementary material for the manuscript "Representing Probabilistic Models of Knowledge Space Theory by Multinomial Processing Tree Models"
Heck, Daniel W., Noventa, Stefano
openaire   +2 more sources

Multinomial processing tree models and psychological assessment.

Psychological Assessment, 1998
Psychological assessment often focuses on individual participants in testing situations. Psychometric models for assessment include parameters for individual and item differences, but they rarely model the cognitive processes involved in responding to test items.
openaire   +1 more source

A comparison of correlation and regression approaches for multinomial processing tree models

Journal of Mathematical Psychology, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lisa J. Jobst, Daniel W. Heck, Morten Moshagen   +2 more
openaire   +2 more sources

Statistical Inference for Multinomial Processing Tree Models

1991
This paper addresses the issue of statistical inference for multinomial processing tree models of cognition. An important question in the statistical analysis of multinomial models concerns the accuracy of asymptotic formulas when they are applied to actual cases involving finite samples. To explore this question, we present the results of an extensive
David M. Riefer, William H. Batchelder
openaire   +1 more source

Hierarchical Multinomial Processing Tree Models: A Latent-Trait Approach

Psychometrika, 2010
Multinomial processing tree models are widely used in many areas of psychology. A hierarchical extension of the model class is proposed, using a multivariate normal distribution of person-level parameters with the mean and covariance matrix to be estimated from the data. The hierarchical model allows one to take variability between persons into account
openaire   +2 more sources