[BOOK][B] Hierarchical linear models: Applications and data analysis methods
SW Raudenbush, AS Bryk - 2002 - books.google.com
" 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 from the International Statistical Institute" The new
chapters (10-14) improve an already excellent resource for research and instruction. Their
content expands the coverage of the book to include models for discrete level-1 outcomes,
non-nested level-2 units, incomplete data, and measurement error--all vital topics in …
applied statistics the methods described are widely applicable the standard of exposition is
extremely high."--Short Book Reviews from the International Statistical Institute" The new
chapters (10-14) improve an already excellent resource for research and instruction. Their
content expands the coverage of the book to include models for discrete level-1 outcomes,
non-nested level-2 units, incomplete data, and measurement error--all vital topics in …
[BOOK][B] Hierarchical linear models: applications and data analysis methods.
AS Bryk, SW Raudenbush - 1992 - psycnet.apa.org
Hierarchical linear models: Applications and data analysis methods. Hierarchical linear
models: Applications and data analysis methods. Citation Bryk, AS, & Raudenbush, SW (1992).
Hierarchical linear models: Applications and data analysis methods. Sage Publications, Inc.
Abstract Much social and behavioral research involves hierarchical data structures. . . . Recent
developments in the statistical theory of hierarchical linear models now afford an integrated
set of methods for such applications. This introductory text explicates the theory and use of …
models: Applications and data analysis methods. Citation Bryk, AS, & Raudenbush, SW (1992).
Hierarchical linear models: Applications and data analysis methods. Sage Publications, Inc.
Abstract Much social and behavioral research involves hierarchical data structures. . . . Recent
developments in the statistical theory of hierarchical linear models now afford an integrated
set of methods for such applications. This introductory text explicates the theory and use of …