Longitudinal data analysis : designs, models and methods
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Bibliographic Information
Longitudinal data analysis : designs, models and methods
SAGE, 1998
- pbk
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
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
by "Nielsen BookData"