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(Ebook) Hierarchical Linear Models: Applications and Data Analysis Methods by Stephen W. Raudenbush, Anthony S. Bryk ISBN 9780761919049, 076191904X

  • SKU: EBN-5409816
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Authors:Stephen W. Raudenbush, Anthony S. Bryk
Pages:510 pages.
Year:2002
Editon:2nd
Publisher:SAGE Publications
Language:english
File Size:5.98 MB
Format:pdf
ISBNS:9780761919049, 076191904X
Categories: Ebooks

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(Ebook) Hierarchical Linear Models: Applications and Data Analysis Methods by Stephen W. Raudenbush, Anthony S. Bryk ISBN 9780761919049, 076191904X

Popular in its first edition for its rich, illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM), the book has been updated to include: an intuitive introductory summary of the basic procedures for estimation and inference used with HLM models that only requires a minimal level of mathematical sophistication; a new section on multivariate growth models; a discussion of research synthesis or meta-analysis applications; aata analytic advice on centering of level-1 predictors, and new material on plausible value intervals and robust standard estimators.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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