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of longitudinal categorical statistical methods. Each chapter provides basic methodology, helpful applications, examples using data from all fields of the;
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of longitudinal categorical statistical methods. Each chapter provides basic methodology, helpful applications, examples using data from all fields of the;
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Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis;
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This volume reviews longitudinal models and analysis procedures for use in the behavioral and social sciences. Written by distinguished;
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Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical;
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of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology;
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approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative;
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of the American Statistical Association Features newly developed topics and applications of the analysis of longitudinal data Applied;
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Praise for the Second Edition A must-have book for anyone expecting to do research and/or applications in categorical data analysis;
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, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these;
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Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences;
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examples are provided at www.psypress.comlongitudinal-data-analysis. Although many of the examples address health or social science questions;
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, marketing, and many more. Statistical Analysis of Categorical Data provides thorough, clear, up-to-date explanations of all important methods;
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and advanced students in the social and behavioral sciences, including social, developmental, organizational, clinical and health;
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This book provides a systematic exposition of a group-based statistical method for analyzing longitudinal data in the social and behavioral;
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by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The;
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by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The;
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authors provide clear descriptions of the relevant statistical theory and illustrate practical considerations for modeling longitudinal data;
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provide clear descriptions of the relevant statistical theory and illustrate practical considerations for modeling longitudinal data. Topics;
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The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;
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examples are provided at www.psypress.comlongitudinal-data-analysis. Although many of the examples address health or social science questions;
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specifically to perform CFA. CFA is an important method for analyzing results involved with categorical and longitudinal data. It allows one to;
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specifically to perform CFA. CFA is an important method for analyzing results involved with categorical and longitudinal data. It allows one to;
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Social science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or;
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to the appropriate statistical tests, and drawing valid conclusions Introduction to Quantitative Data Analysis in the Behavioral and Social;
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, in that it contains all information necessary to learn basic statistical analysis, with a focus on the use of statistics for behavioral sciences;
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Many theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis;
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