We see that javascript is disabled or not supported by your browser - javascript is needed for important actions on the site. Read more

What's New - Home - Login

Member $avings: $81,771,219.05 | Books Available: 721,947 | Members Online: 22

Swap Used Books - Buy New Books at Great Prices!

How To Swap Books Sign Up Search submenu

PBS Market (New Books)

Gift Buying Guide

Book Browser Advanced Search Books Posted Today Member Book Reviews Award Winning Books NYT Best Sellers Amazon Best Sellers Most Traveled Copies Club Wish List

Discussion Forums Book Lists

Club Lists My Book Lists My Watched Lists Create a List

Blog Donations

School Donation Program In Memory of... Military Donation Program Friends of PBS

Box-O-Books Maps The Eclectic Pen Fun Stuff

20 Questions Sudoku Bookmark Creator

Top 100

Requests Posts Swappers Referrers Reviewers

Pulse of PBS Spread The Word

Invite Friends Bookmarks Facebook Page Facebook App More Ways...

Photo Gallery Recipes Club Tag Cloud Member Testimonials

Help Center submenu

How To Swap Books Browse Help Docs Ask the Librarian PBS Member Icons Live Help

Kiosk

PBS Market (New Books) Go Shopping Buy Credits Buy PBS Money Upgrade Membership Gift Certificates Transfer Credits

Need Help?

Search - Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences)

Hierarchical Linear Models Applications and Data Analysis Methods - Advanced Quantitative Techniques in the Social Sciences
Author: Anthony S. Bryk, Stephen W. Raudenbush, Anthony S. Bryk

"This monograph offers a careful introduction to models designed to deal with interactions between individual and contextual effects . . . . This book is an important contribution to the analysis of hierarchical data. It presents the material in sufficient depth without ignoring the demands of nonspecialists." --American Journal of Sociology ... more » "This is a first-class book dealing with one of the most important areas of current research in applied statistics . . . . The methods described are widely applicable . . . the standard of exposition is extremely high." --Short Book Reviews, Publication of the International Statistical Institute "No other introductory text on hierarchical or multilevel models attempts to take the reader through a carefully structured set of examples, and so this book is certainly welcome . . . . I would recommend it to those who would like an introduction to the topic and a glimpse of some of the potential power of multilevel models. --Journal of the American Statistical Association Much social and behavioral research involves hierarchical data structures. The effects of school characteristics on students; how differences among countries in governmental policies influence demographic relations within them; and how individuals exposed to different environmental conditions develop over time are but a few examples. However, past analysis of such data has been fraught with problems. Recent developments in the statistical theory of hierarchical linear models now afford an integrated set of methods for such applications. Now a best-seller, Hierarchical Linear Models launched the Sage series, Advanced Quantitative Techniques in the Social Sciences. This introductory text explicates the theory and use of hierarchical linear models (HLM) through rich, illustrative examples and lucid explanations. The presentation remains reasonably nontechnical by focusing on three general research purposes--improved estimation of effects within an individual unit, estimating and testing hypotheses about cross-level effects, and partitioning of variance and covariance components among levels. This innovative volume describes use of both two-and three-level models in organizational research and studies of individual development and meta-analysis applications and concludes with a formal derivation of the statistical methods used in the book.

ISBN-13: 9780803946279
ISBN-10: 0803946279
Publication Date: 3/3/1992
Pages: 265
Rating:

0 stars, based on 0 rating

Publisher: Sage Publications, Inc
Book Type: Hardcover
Members Wishing: 0
Reviews: Amazon | Write a Review

Genres:

Nonfiction >> Social Sciences >> General
Nonfiction >> Social Sciences >> Research
Nonfiction >> Social Sciences >> Statistics
Science & Math >> General
Science & Math >> Mathematics >> Applied >> Linear Programming
Science & Math >> Mathematics >> Applied >> Probability & Statistics
Engineering & Transportation >> Professional Science >> Mathematics >> Applied >> Linear Programming
Engineering & Transportation >> Professional Science >> Mathematics >> Applied >> Statistics

Back to the Top ↑

Search - Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences)

Loading...