Categorical Variables in Developmental Research
Methods of Analysis
- 1 Edición - 5 de febrero de 1996
- Última edición
- Editores: Alexander von Eye, Clifford C. Clogg
- Idioma: Inglés
Categorical Variables in Developmental Research provides developmental researchers with the basic tools for understanding how to utilize categorical variables in their data analys… Leer más
Descripción
Descripción
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.
Puntos claves
Puntos claves
- Measurement and repeated observations of categorical data
- Catastrophe theory
- Latent class and log-linear models
- Applications
De interès para
De interès para
Research scientists, academics, and graduate students in developmental psychology, gerontology, and statistics
Índice
Índice
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.
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 4 de abril de 2013
- Idioma: Inglés
Sobre los editores
Sobre los editores
Av
Alexander von Eye
Afiliaciones y experiencia
Michigan State University, East Lansing, U.S.A.CC
Clifford C. Clogg
Afiliaciones y experiencia
Pennsylvania State University, University Park, U.S.A.Ver libro en ScienceDirect
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