A Primer In Longitudinal Data Analysis
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A Primer in Longitudinal Data Analysis
`The author has done a remarkable job of writing a very accessible introduction to a broad literature. As such, he should be congratulated on achieving his objective to provide the "ideal primer for this growing area of social research"′ - Kwantitatieve Methoden This accessible introduction to the theory and practice of longitudinal research takes the reader through the strengths and weaknesses of this kind of research, making clear: how to design a longitudinal study; how to collect data most effectively; how to make the best use of statistical techniques; and how to interpret results. Although the book provides a broad overview of the field, the focus is always on the practical issues arising out of longitudinal research. This book supplies the student with all that they need to get started and acts as a manual for dealing with opportunities and pitfalls. It is the ideal primer for this growing area of social research.
A Primer on Longitudinal Data Analysis in Education. Technical Report #1320
Longitudinal data analysis in education is the study growth over time. A longitudinal study is one in which repeated observations of the same variables are recorded for the same individuals over a period of time. This type of research is known by many names (e.g., time series analysis or repeated measures design), each of which can imply subtle differences in the data or analysis, but generally follows the same definition. The purpose of this paper is to provide an overview of longitudinal data analysis in education for practitioners, administrators, and other consumers of educational research, focusing on: the purposes of longitudinal data analysis in education, some of its benefits and limitations, and the various analyses used to model student growth trajectories.
Applied Longitudinal Data Analysis for Epidemiology
Author: Jos W. R. Twisk
language: en
Publisher: Cambridge University Press
Release Date: 2013-05-09
A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.