Hierarchical linear models
applications and data analysis methods
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Author
Contributions
- Raudenbush, Stephen W. - Contributor
Publication
1992 - Sage Publications, Newbury Park, California
Language
English
Word Count
66,250 words, Guess
Page Count
265 pages
Identifiers
- Open LibraryOL1563752M
- ISBN-100803946279
- OCLC Control Number25026331
- OCLC Control Numberhierarchicalline0000bryk
- Library of Congress Control Number91045334
and 2 more
- Goodreads4482694
- LibraryThing3171186
Classifications
- DDC300/.72
- LCCHA29 .H64 1992
Description
Hierarchical Linear Models launches a new 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, studies of individual development and meta-analysis applications, and concludes with a formal derivation of the statistical methods used in the book.
Subjects
Series Statement
- Advanced quantitative techniques in the social sciences ;
Other Editions
- Hierarchical linear models: applications and data analysis methods
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