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Longitudinal Data Analysis: Designs, Models and Methods

by Bijleveld C et al SAGE Publications Ltd
Pub Date:
Hbk 448 pages
AU$264.00 NZ$270.43
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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 and no one approach answers all the questions about changes, event occurrences and stability over time. Longitudinal Data Analysis covers all the main approaches (such as analysis of variance and log-linear approaches) as well as newer approaches (such as structural equation modelling and multilevel modelling) to enable the reader to get a thorough understanding of the approach and make appropriate decisions about which technique can be applied to the research problem. Each method is accessibly presented with the following features;- Conceptual explanations are used to keep complex technical and statistical terms to a minimum.- Examples are used for each approach to show how the various models and methods can be applied to particular classes of problems.- Issues of design, measurement and significance are intregrated into the presentation of each method.- 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

`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
Catrien C.H. Bijleveld, Ministry of Justice, The Netherlands and Leo van der Kamp, University of Leiden