New sophisticated data analytic strategies have become available to longitudinal researchers, but while information regarding the theory of these methods is available, that theory often does not help the user implement the strategy. Applied Computational Statistics in Longitudinal Research is designed to assist the user to actually run and interpret the results of many of these analytic strategies. Each chapter in the book deals with a different technique and the discussion begins with a summary of the procedure. An example including both the setup of the program and an annotated output are carefully explained. Unlike many other books on these topics, this book helps the user to quickly and easily apply the material to the computer. It can either be used as a companion to the two-volume Statistical Methods in Longitudinal Research (edited by von Eye, Academic Press, September, 1990) or alone to illustrate the applications of statistical methods that can be used in psychology, sociology, medicine, education, and engineering.
New sophisticated data analytic strategies have become available to longitudinal researchers, but while information regarding the theory of these methods is available, that theory often does not help the user implement the strategy. Applied Computational Statistics in Longitudinal Research is designed to assist the user to actually run and interpret the results of many of these analytic strategies. Each chapter in the book deals with a different technique and the discussion begins with a summary of the procedure. An example including both the setup of the program and an annotated output are carefully explained. Unlike many other books on these topics, this book helps the user to quickly and easily apply the material to the computer. It can either be used as a companion to the two-volume Statistical Methods in Longitudinal Research (edited by von Eye, Academic Press, September, 1990) or alone to illustrate the applications of statistical methods that can be used in psychology, sociology, medicine, education, and engineering.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science Publishing Co Inc
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Gewicht
ISBN-13
978-0-12-599450-7 (9780125994507)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
Autor*in
The Pennsylvania State University, University Park
Michigan State University, East Lansing, U.S.A.
Missing Data Estimation for Nested Panel Design. Alternate Analysis of Repeated Measures Designs by ANOVA and MANOVA. Longitudinal Factor Analysis. Latent Variable Structural Equations Models. Methods of Multidimensional Scaling. Event HistoryAnalysis. Growth Curve Estimation. Spectral Analysis. Time Series Models. Log-Linear Modeling. Latent Class Analysis. Analysis of Finite Mixture Distributions. Prediction Analysis of Cross-Classifications. Configural Frequency Analysis.