Latent Variables Analysis : Applications for Developmental Research

ISBN 10: 0803953313 / ISBN 13: 9780803953314

Published by SAGE Publications, Incorporated, 1994

About this Item

Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Seller Inventory # 49732811-20

Bibliographic Details

• Title: Latent Variables Analysis : Applications for Developmental Research
• Publisher: SAGE Publications, Incorporated
• Publication Date: 1994
• Language: English
• ISBN 10: 0803953313
• ISBN 13: 9780803953314
• Binding: Soft cover
• Edition: 0th Edition.
• Condition: Good
• Weight: 1.19 pounds

About this title

Synopsis

"Even with our very different orientations to data collection and analysis, we both found several chapters useful for our own research interests. Generally, the discussions are widely applicable and will be useful in many fields. . . . Various chapters of the book would be excellent supplementary reading in courses dealing with structural equation modeling or categorical data analysis. . . . Space does not permit even passing comment on the other excellent chapters. . . . In the words of the editors in the preface, ′we now have a better understanding of how models with latent variables relate to other models, and how ostensibly different latent variable models relate to each other.′ While this understanding is by no means complete, collectively the chapters in this volume move us a bit closer to that goal." --Charles J. Brody and Tammy Greer in Sociological Practice With contributions from the leading national and international researchers, this book shows how latent variables can be incorporated with other data analysis strategies (such as structural equation modeling, regression analysis, log-linear modeling, and prediction analysis) and applied in developmental research (such as cohort-time of measurement-age analysis, log-linear modeling of behavior genetics hypothesis, and analyses of repeatedly observed state measures). Detailed explanations of the computations and of software packages that can be used to do these techniques are included with each statistical method. Latent Variables Analysis is appropriate for readers with an introductory statistics background. Professionals and researchers interested in research methods, evaluation, developmental psychology, and family studies will find Latent Variables Analysis to be an invaluable resource.

About the Author

Methodology and Statistics, Michigan State University.