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.
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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 scientists and students, no advanced mathematical training is required. Step-by-step commented command files are given for both the CDAS and the SPSS software programmes so that readers can follow examples and specify command files for their own data. The book illustrates and teaches how to answer important research questions using categorical data.
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