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Longitudinal Data Analysis
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Longitudinal Data Analysis
Designs, Models and Methods



November 1998 | 448 pages | SAGE Publications Ltd
By looking at the processes of change over time - by carrying out longitudinal studies - researchers answer questions about learning, development, educational growth, social change and medical outcomes.

However, longitudinal research has many faces. This book examines all the main approaches as well as newer developments (such as structural equation modelling, multilevel modelling and optimal scaling) to enable the reader to gain a thorough understanding of the approach and make appropriate decisions about which technique can be applied to the research problem. Conceptual explanations are used to keep technical terms to a minimum; examples are provided for each approach; issues of design, measurement and significance are considered; and a standard notation is used throughout.

 
Methodological Issues in Longitudinal Research
 
Analysis of Longitudinal Categorical Data Using Optimal Scaling Techniques
 
Univariate and Multivariate Analysis of Variance of Longitudinal Data
 
Structural Equation Models for Longitudinal Data
 
Multilevel Analysis of Longitudinal Data
 
Log-Linear and Markov Modelling of Categorical Longitudinal Data
 
Epilogue

`This is an outstanding book. Its authors have performed a valuable service to the statistical community and those who need to elucidate data collected on a number of occasions. Read it! Enjoy it! You will learn a lot!' - Short Book Reviews, International Statistical Institute

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