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Information Loss in Scalar Monetary Aggregation: A Tensorial Langevin Framework for Financial Shock Propagation and Policy Targeting. [PDF]

Entropy (Basel)
Pinheiro MR, Pinheiro MJ.
europepmc   +1 more source

Extensions of the Partial Credit Model

Psychometrika, 1989
The partial credit model, developed by Masters (1982), is a unidimensional latent trait model for responses scored in two or more ordered categories. In the present paper some extensions of the model are presented. First, a marginal maximum likelihood estimation procedure is developed which allows for incomplete data and linear restrictions on both the
Glas, C. A. W., Verhelst, N. D.
exaly   +4 more sources

A Rasch Model for Partial Credit Scoring

Psychometrika, 1982
A unidimensional latent trait model for responses scored in two or more ordered categories is developed. This “Partial Credit” model is a member of the family of latent trait models which share the property of parameter separability and so permit “specifically objective” comparisons of persons and items.
Geoff Masters
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An Extension of the Partial Credit Model with an Application to the Measurement of Change

Psychometrika, 1994
The partial credit model is considered under the assumption of a certain linear decomposition of the item × category parameters δih into “basic parameters” αj. This model is referred to as the “linear partial credit model”. A conditional maximum likelihood algorithm for estimation of the αj is presented, based on (a) recurrences for the combinatorial ...
Fischer, Gerhard H., Ponocny, Ivo
exaly   +4 more sources

The Partial Credit Model and Null Categories

Psychometrika, 1993
A category where the frequency of responses is zero, either for sampling or structural reasons, will be called a null category. One approach for ordered polytomous item response models is to downcode the categories (i.e., reduce the score of each category above the null category by one), thus altering the relationship between the substantive framework ...
Mark Wilson, Geofferey N. Masters
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On the Existence and Uniqueness of JML Estimates for the Partial Credit Model

Psychometrika, 2005
A necessary and sufficient condition is given in this paper for the existence and uniqueness of the maximum likelihood (the so-called joint maximum likelihood) estimate of the parameters of the Partial Credit Model. This condition is stated in terms of a structural property of the pattern of the data matrix that can be easily verified on the basis of a
Lucio Bertoli-Barsotti
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Partial Credit Model

2016
For some measuring instruments, item responses may reflect a degree of correctness (or a degree of appropriateness in the case of survey questionnaires) in the answer to a question, rather than being simply classified as correct/incorrect.
Margaret Wu, Hak Ping Tam, Tsung-Hau Jen
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The Partial Credit Model

1997
The Partial Credit Model (PCM) is a unidimensional model for the analysis of responses recorded in two or more ordered categories. In this sense, the model is designed for the same purpose as several other models in this book, including Samejima’s graded response model (Samejima, 1969).
Geofferey N. Masters, Benjamin D. Wright
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A Steps Model to Analyze Partial Credit

1997
The partial credit model (PCM) by Masters (1982, this volume) is a unidimensional item response model for analyzing responses scored in two or more ordered categories. The model has some very desirable properties: it is an exponential family, so minimal sufficient statistics for both the item and person parameters exist, and it allows conditional ...
Verhelst, N.D., Glas, Cornelis A.W., de Vries, H.H.   +2 more
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