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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.
List 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
About the author
The authors all teach longitudinal research methods in the Department of Psychometrics and Research Methodology at the University of Leiden in the Netherlands.
Summary
This book examines the main approaches of longitudinal research 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.
