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Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

An introduction With Computer Illustrations

By Alexander von Eye, Keith E. Niedermeier

Psychology Press – 1999 – 272 pages

Purchasing Options:

  • Add to CartPaperback: $51.95
    978-0-8058-3182-5
    August 1st 1999
  • Add to CartHardback: $125.00
    978-0-8058-3181-8
    July 31st 1999

Description

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.

Reviews

"…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."

Contemporary Psychology

Contents

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.

Name: Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences: An introduction With Computer Illustrations (Paperback)Psychology Press 
Description: By Alexander von Eye, Keith E. Niedermeier. 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...
Categories: Factor Analysis, SEM, Multilevel & Longitudinal Modeling, Multivariate Statistics, Quantitative Methods