New developments in categorical data analysis for the social and behavioral sciences / edited by L. Andries van der Ark, Marcel A. Croon, Klaas Sijtsma.
2005
HA29 .N4533 2005eb
Formats
Format | |
---|---|
BibTeX | |
MARCXML | |
TextMARC | |
MARC | |
DublinCore | |
EndNote | |
NLM | |
RefWorks | |
RIS |
Linked e-resources
Details
Title
New developments in categorical data analysis for the social and behavioral sciences / edited by L. Andries van der Ark, Marcel A. Croon, Klaas Sijtsma.
ISBN
1410612023 (electronic bk.)
9781410612021 (electronic bk.)
9781410612021 (electronic bk.)
Imprint
Mahwah, N.J. : L. Erlbaum Associates, ©2005.
Language
English
Description
1 online resource (xii, 261 pages) : illustrations
Call Number
HA29 .N4533 2005eb
System Control No.
(OCoLC)57498742
Summary
A collection of studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting datasets. A prominent breakthrough in categorical data analysis is the development and use of latent variable models.
Bibliography, etc. Note
Includes bibliographical references and indexes.
Formatted Contents Note
Statistical models for categorical variables / L. Andries van der Ark, Marcel A. Croon, and Klaas Sijtsma
Misclassification phenomena in categorical data analysis : regression toward the mean and tendency toward the mode / Jacques A. Hagenaars
Factor analysis with categorical indicators : a comparison between traditional and latent class approaches / Jeroen K. Vermunt and Jay Magidson
Bayesian computational methods for inequality constrained latent class analysis / Olav Laudy, Jan Boom, and Herbert Hoijtink
Analyzing categorical data by marginal models / Wicher P. Bergsma and Marcel A. Croon
Computational aspects of the E-M and Bayesian estimation in latent variable models / Irini Moustaki and Martin Knott
Logistic models for single-subject time series / Peter W. van Rijn and Peter C.M. Molenaar
The effect of missing data imputation on Mokken scale analysis / L. Andrew van der Ark and Klaas Sijtsma
Building IRT models from scratch : graphical models, exchangeability, marginal freedom, scale types, and latent traits / Henk Kelderman
The Nedlesky model for multiple-choice items / Timo M. Bechger [and others]
Application of the polytomous saltus model to stage-like proportional reasoning data / Karen Draney and Mark Wilson
Multilevel IRT model assessment / Jean-Paul Fox.
Misclassification phenomena in categorical data analysis : regression toward the mean and tendency toward the mode / Jacques A. Hagenaars
Factor analysis with categorical indicators : a comparison between traditional and latent class approaches / Jeroen K. Vermunt and Jay Magidson
Bayesian computational methods for inequality constrained latent class analysis / Olav Laudy, Jan Boom, and Herbert Hoijtink
Analyzing categorical data by marginal models / Wicher P. Bergsma and Marcel A. Croon
Computational aspects of the E-M and Bayesian estimation in latent variable models / Irini Moustaki and Martin Knott
Logistic models for single-subject time series / Peter W. van Rijn and Peter C.M. Molenaar
The effect of missing data imputation on Mokken scale analysis / L. Andrew van der Ark and Klaas Sijtsma
Building IRT models from scratch : graphical models, exchangeability, marginal freedom, scale types, and latent traits / Henk Kelderman
The Nedlesky model for multiple-choice items / Timo M. Bechger [and others]
Application of the polytomous saltus model to stage-like proportional reasoning data / Karen Draney and Mark Wilson
Multilevel IRT model assessment / Jean-Paul Fox.
Digital File Characteristics
text file
PDF
Source of Description
Print version record.
Series
Quantitative methodology series.
Available in Other Form
Print version: New developments in categorical data analysis for the social and behavioral sciences. Mahwah, N.J. : L. Erlbaum Associates, ©2005
Linked Resources
Record Appears in