Limit search to available items
Book Cover
Book

Title Longitudinal research with latent variables / [edited by] Kees van Montfort, Johan H.L. Oud, Albert Satorra
Published Heidelberg : Springer, 2010

Copies

Location Call no. Vol. Availability
 MELB  300.72 Mon/Lrw  AVAILABLE
Description xi, 301 pages ; 24 cm
Contents Machine derived contents note: A. Hagenaars: Loglinear Latent Variable Models for Longitudinal Categorical Data.- Geert Verbeke, Geert Molenberghs, and Dimitris Rizopoulos: Random Effects Models for Longitudinal Data.- Nicholas T. Longford: Multivariate and Multilevel Longitudinal Analysis.- Jeroen K. Vermunt: Longitudinal Research Using Mixture Models.- Kenneth A. Bollen and Catherine Zimmer: An Overview of the Autoregressive Latent Trajectory (ALT) Model.- Jacques J.F. Commandeur, Siem Jan Koopman, and Kees van Montfort: State Space Methods for Latent Trajectory and Parameter Estimation by Maximum Likelihood.- Johan H.L. Oud and Marc J.M.H. Delsing: Continuous Time Modeling of Panel Data by means of SEM.- John J. McArdle and Kevin J. Grimm: Five steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data.-Daniel J. Blake, Janet M. Box-Steffensmeier, and Byungwon Woo: Structural Interdependence and Unobserved Heterogeneity in Event History Analysis
Summary Jacket
This book combines longitudinal research and letent variable research, i.e. it explains how longitudinal studies with objectives formulated in terms of latent variable should be carried out, with an emphasis on detailing how the methods are applied. Because longitudinal research with latent variables currently utilizes different approaches with different histories, different types of research questions, and different computer programs to perform the analysis, the book is divided into nine chapters. Starting with (a) some back-ground information about the specific approach (a short history and the main publications), each chapter then (b) describes the type of research questions the approach is able to answer, (c) provides statistical and mathematical explanations of the models used in the data analysis, (d) discusses the input and output of the programs used, and (e) provides one or more examples with typical data sets, allowing the readers to apply the programs themselves. --Book --
Notes Literaturangaben
Bibliography Includes bibliographical references
Notes Print version record
Subject Social sciences -- Research.
Statistics.
Author Montfort, Kees van, editor
Oud, Johan H.L, editor
Satorra, A. (Albert), editor
LC no. 2010926488
ISBN 3642117597
9783642117596