UID:
almahu_9948026109602882
Format:
1 online resource (307 p.)
ISBN:
1-281-03857-1
,
9786611038571
,
0-08-052871-6
Content:
This book 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.The book covers: * Measurement and repeated observations of categorical data * Catastrophe theory * Latent class and log-linear models * Applications
Note:
Description based upon print version of record.
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Front Cover; Categorical Variables in Developmental Research: Methods of Analysis; Copyright Page; Contents; Contributors; Preface; Acknowledgments; In Memoriam; Part 1: Measurement and Repeated Observations of Categorical Data; Chapter 1. Measurement Criteria for Choosing among Models with Graded Responses; 1. Introduction; 2. Measurement Criteria for a Model for Graded Responses; 3. Models for Graded Responses; 4. Examples; 5. Summary and Discussion; References; Chapter 2. Growth Modeling with Binary Responses; 1. Introduction
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2. Conventional Modeling and Estimation with Binary Longitudinal Data3. More General Binary Growth Modeling; 4. Analyses; 5. Conclusions; References; Chapter 3. Probit Models for the Analysis of Limited Dependent Panel Data; 1. Introduction; 2. Model Specification; 3. Estimation Method; 4. Analysis of Production Output from German Business Test Data; 5. Conclusion; References; Part 2: Catastrophe Theory; Chapter 4. Catastrophe Analysis of Discontinuous Development; 1. Introduction; 2. Catastrophe Theory; 3. Issues in Conservation; 4. The Cusp Model; 5. Empirical Studies; 6. Discussion
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ReferencesChapter 5. Catastrophe Theory of Stage Transitions in Metrical and Discrete Stochastic Systems; 1. Introduction; 2. Elementary Catastrophe Theory; 3. Catastrophe Theory for Metrical Stochastic Systems; 4. Catastrophe Theory for Discrete Stochastic Systems; 5. General Discussion and Conclusion 128 References; Part 3: Latent Class and Log-Linear Models; Chapter 6. Some Practical Issues Related to the Estimation of Latent Class and Latent Transition Parameters; 1. Introduction; 2. Methods; 3. Discussion; References; Chapter 7. Contingency Tables and Between- Subject Variability
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1. Introduction2. Association Variability; 3. The Simulation Procedure; 4. Tests Based on Multinomial Variability; 5. Tests Based on Between-Subject Variability; 6. Procedures with Two Types of Variability; 7. Discussion; References; Chapter 8. Assessing Reliability of Categorical Measurements Using Latent Class Models; 1. Introduction; 2. The Latent Class Model: A Nonparametric Method of Assessing Reliability; 3. Reliability of Dichotomous Measurements in a Prototypical Case; 4. Assessment of Reliability by Group or by Time; 5. Conclusion; References
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Chapter 9. Partitioning Chi-Square: Something Old, Something New, Something Borrowed, but Nothing BLUE (Just ML)1. Introduction; 2. Partitioning Independence Models; 3. Analyzing Change and Stability; 4. How to Partition Chi-Square; 5. Discussion; References; Chapter 10. Nonstandard Log-Linear Models for Measuring Change in Categorical Variables; 1. Introduction; 2. Bowker's Test; 3. Log-Linear Models for Axial Symmetry; 4. Axial Symmetry in Terms of a Nonstandard Log-Linear Model; 5. Group Comparisons; 6. Quasi-Symmetry; 7. Discussion; References
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Chapter 11. Application of the Multigraph Representation of Hierarchical Log-Linear Models
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English
Additional Edition:
ISBN 0-12-724965-6
Language:
English
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