Categorical Variables in Developmental Research
Methods of Analysis
- 1st Edition - January 19, 1996
- Latest edition
- Editors: Alexander von Eye, Clifford C. Clogg
- Language: English
Categorical Variables in Developmental Research provides developmental researchers with the basic tools for understanding how to utilize categorical variables in their data analys… Read more
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Description
Description
Categorical Variables in Developmental Research provides developmental researchers with the basic tools for understanding how to utilize categorical variables in their data analysis. Covering the measurement of individual differences in growth rates, the measurement of stage transitions, latent class and log-linear models, chi-square, and more, the book provides a means for developmental researchers to make use of categorical data.
Key features
Key features
- Measurement and repeated observations of categorical data
- Catastrophe theory
- Latent class and log-linear models
- Applications
Readership
Readership
Research scientists, academics, and graduate students in developmental psychology, gerontology, and statistics
Table of contents
Table of contents
Preface.
Measurement and Repeated Observations of Categorical Data:
D. Andrich, Measurement Criteria for Choosing Among Models with Graded Responses.
B.O. Muthn, Growth Modeling with Binary Responses.
G. Arminger, Probit Models for the Analysis of Limited-Dependent Panel Data.
Catastrophe Theory:
H.L.J. van der Maas and P.C.M. Molenaar, Catastrophe Analysis of Discontinuous Development.
P.C.M. Molenaar and P. Hartelman, Catastrophe Theory of Stage Transitions in Metrical and Discrete Stochastic Systems.
Latent Class and Log-Linear Models:
L.M. Collins, P.L. Fidler, and S.E. Wugalter, Some Practical Issues Related to Estimation of Latent Class and Latent Transition Parameters.
T.D. Wickens, Contingency Tables and Between-Subject Variability.
C.C. Clogg and W. Manning, Assessing Reliability of Categorical Measurements Using Latent Class Models.
D. Rindskopf, Partitioning Chi-square: Something Old, Something New, Something Borrowed, but Nothing BLUE (Just ML).
A. von Eye and C. Spiel, Nonstandard Log-Linear Models for Measuring Change in Categorical Variables.
H.J. Khamis, Application of the Multigraph Representation of Hierarchical Log-Linear Models.
Applications:
M.J. Rovine and A. von Eye, Correlation and Categorization under a Matching Hypothesis.
S.L. Hershberger, Residualized Categorical Phenotypes and Behavioral Genetic Modeling.
Chapter References.
Subject Index.
Measurement and Repeated Observations of Categorical Data:
D. Andrich, Measurement Criteria for Choosing Among Models with Graded Responses.
B.O. Muthn, Growth Modeling with Binary Responses.
G. Arminger, Probit Models for the Analysis of Limited-Dependent Panel Data.
Catastrophe Theory:
H.L.J. van der Maas and P.C.M. Molenaar, Catastrophe Analysis of Discontinuous Development.
P.C.M. Molenaar and P. Hartelman, Catastrophe Theory of Stage Transitions in Metrical and Discrete Stochastic Systems.
Latent Class and Log-Linear Models:
L.M. Collins, P.L. Fidler, and S.E. Wugalter, Some Practical Issues Related to Estimation of Latent Class and Latent Transition Parameters.
T.D. Wickens, Contingency Tables and Between-Subject Variability.
C.C. Clogg and W. Manning, Assessing Reliability of Categorical Measurements Using Latent Class Models.
D. Rindskopf, Partitioning Chi-square: Something Old, Something New, Something Borrowed, but Nothing BLUE (Just ML).
A. von Eye and C. Spiel, Nonstandard Log-Linear Models for Measuring Change in Categorical Variables.
H.J. Khamis, Application of the Multigraph Representation of Hierarchical Log-Linear Models.
Applications:
M.J. Rovine and A. von Eye, Correlation and Categorization under a Matching Hypothesis.
S.L. Hershberger, Residualized Categorical Phenotypes and Behavioral Genetic Modeling.
Chapter References.
Subject Index.
Product details
Product details
- Edition: 1
- Latest edition
- Published: April 4, 2013
- Language: English
About the editors
About the editors
Av
Alexander von Eye
Affiliations and expertise
Michigan State University, East Lansing, U.S.A.CC
Clifford C. Clogg
Affiliations and expertise
Pennsylvania State University, University Park, U.S.A.View book on ScienceDirect
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