Advances in Latent Variable Mixture Models (Cilvr Series on Latent Variable Methodology)

Hancock, Gregory R.

ISBN 10: 1593118473 / ISBN 13: 9781593118471

Published by Information Age Publishing, 2007

About this Item

2007. Paperback. . . . . . Books ship from the US and Ireland.

Seller Inventory # V9781593118471

Bibliographic Details

• Title: Advances in Latent Variable Mixture Models (Cilvr Series on Latent Variable Methodology)
• Publisher: Information Age Publishing
• Publication Date: 2007
• Language: English
• ISBN 10: 1593118473
• ISBN 13: 9781593118471
• Binding: Soft cover
• Condition: New

About this title

Synopsis

The current volume, Advances in Latent Variable Mixture Models, contains chapters by all of the speakers who participated in the 2006 CILVR conference, providing not just a snapshot of the event, but more importantly chronicling the state of the art in latent variable mixture model research. The volume starts with an overview chapter by the CILVR conference keynote speaker, Bengt Muthén, offering a “lay of the land” for latent variable mixture models before the volume moves to more specific constellations of topics. Part I, Multilevel and Longitudinal Systems, deals with mixtures for data that are hierarchical in nature either due to the data’s sampling structure or to the repetition of measures (of varied types) over time. Part II, Models for Assessment and Diagnosis, addresses scenarios for making judgments about individuals’ state of knowledge or development, and about the instruments used for making such judgments. Finally, Part III, Challenges in Model Evaluation, focuses on some of the methodological issues associated with the selection of models most accurately representing the processes and populations under investigation. It should be stated that this volume is not intended to be a first exposure to latent variable methods. Readers lacking such foundational knowledge are encouraged to consult primary and/or secondary didactic resources in order to get the most from the chapters in this volume. Once armed with the basic understanding of latent variable methods, we believe readers will find this volume incredibly exciting.