Categorical Variables in Developmental Research
Methods of Analysis
Published on 5. February 1996
Book
Hardback
286 pages
978-0-12-724965-0 (ISBN)
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Research scientists, academics, and graduate students in developmental psychology, gerontology, and statistics.
Dimensions
Height: 229 mm
Width: 152 mm
Weight
600 gr
ISBN-13
978-0-12-724965-0 (9780127249650)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
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.