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Can I read Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences) on EtoBox?
Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences) by Bryk, Anthony S., Raudenbush, Stephen W. is a mathematics available to read on EtoBox.
What is Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences) about?
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 va
Who reads Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Bryk, Anthony S., Raudenbush, Stephen W.
- Publisher
- SAGE Publications, Incorporated
- Published
- 1992
- Language
- EN
- ISBN
- 9780803946279
- Category
- mathematics
- Subjects
- Sociology, Social Science, Mathematics
- Updated
- 2026-03-25
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