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.
"…fills an important gap by providing a good introduction to the subject of categorical data analysis with a minimum set of prerequisites….This book builds on basic concepts that guide the reader from familiar ideas about categorical data to advanced topics involving prediction and trend analysis. Tutorials are used in chapter introductions as pedagogical devices to quickly convey the purpose of the chapter topic using simple examples to illustrate basic principles."
Contents: Preface. Describing Categorical Variables. Log-Linear Modeling. Log-Linear Models for Repeated Observations. Chi-Square Partitioning Models. Prediction Analysis. Configural Frequency Analysis of Repeated Observations.