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πŸ“

Statistical Methods in Longitudinal Research. Principles and Structuring Change

✍ Scribed by Alexander von Eye (Auth.)


Publisher
Elsevier Inc, Academic Press
Year
1990
Tongue
English
Leaves
277
Series
Statistical Modeling and Decision Science
Category
Library

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✦ Synopsis


These edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology, education, medicine, psychiatry, economics, behavioural sciences, developmental psychology, ecology, plant physiology, and biometry - with basic training in statistics and computing

✦ Table of Contents


Content:
Front Matter, Page iii
Copyright, Page iv
Contents of Volume II, Pages vii-viii
Contributors, Pages ix-x
Preface, Pages xi-xiv
Chapter 1 - Change Measurement, Pages 3-34
Chapter 2 - Missing Data Estimation in Developmental Research, Pages 35-79
Chapter 3 - Alternative Analyses of Repeated-Measure Designs by ANOVA and MANOVA, Pages 81-121
Chapter 4 - Longitudinal Factor Analysis, Pages 125-149
Chapter 5 - Patterns of Change within Latent Variable Structural Equation Models, Pages 151-224
Chapter 6 - Applications of Scaling to Developmental Research, Pages 225-256
Author Index, Pages I-1-I-8
Subject Index, Pages I-9-I-17
STATISTICAL MODELING AND DECISION SCIENCE, Page ibc1


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