These edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology, education, medicine, psychiatry, economics, behavioural sciences, developmental psychology, ecology, plant physiology, and biometry - with basic training in statistics...

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.

• Measurement and repeated observations of categorical data
• Catastrophe theory
• Latent class and log-linear...

This book presents an introduction to the methodology of structural equation modeling, illustrates its use, and goes on to argue that it has revolutionary implications for the study of natural systems. A major theme of this book is that we have, up to this point, attempted to study systems primarily using methods (such as the univariate model) that were designed only for considering individual processes. Understanding systems requires the capacity to examine simultaneous influences and responses. Structural equation modeling (SEM) has such capabilities. It also possesses many other traits...

This text provides a comprehensive resource for analyzing a variety of categorical data. It emphasizes the application of many recent advances of longitudinal categorical statistical methods. Each chapter provides a basic methodology, helpful applications, examples using data from all fields of the social sciences, computer tutorials and exercises. After defining categorical data and reviewing the basics of log-linear modelling, the book examines log-linear models for repeated observations, chi-square partitioning, prediction analysis and configural frequency analysis. Written for social...

A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances of longitudinal categorical statistical methods. Each chapter provides basic methodology, helpful applications, examples using data from all fields of the social sciences, computer tutorials, and exercises. Written for social scientists and students, no advanced mathematical training is required. Step-by-step command files are given for both the CDAS and the SPSS software programs.

This text provides an up-to-the-minute comprehensive introduction to the methods, models and applications of configural frequency analysis. The book presents a formal yet accessible description of all methods and models, and uses actual empirical data examples to illustrate the key concepts.

Agreement among raters is of great importance in many domains. Divided into five sections, this text describes methods of analysis of agreement data that come in the usual agreement table or in the form of raw data. Part I introduces readers to coefficients of rater agreement and discusses their characteristics. Part II describes a family of log-linear models that allow one to test specific hypotheses about the agreement table, including hypotheses of general agreement and those about trends in raters' judgments. The next two sections present methods for the exploration of rater agreement and...

Agreement among raters is of great importance in many domains. For example, in medicine, diagnoses are often provided by more than one doctor to make sure the proposed treatment is optimal. In criminal trials, sentencing depends, among other things, on the complete agreement among the jurors. In observational studies, researchers increase reliability by examining discrepant ratings. This book is intended to help researchers statistically examine rater agreement by reviewing four different approaches to the technique.

The first approach introduces readers to calculating coefficients that...

This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models).