Hierarchical Linear Models: Applications and Data Analysis Methods
Stephen W. Raudenbush, Anthony S. Bryk
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.
Kategori:
Tahun:
2002
Edisi:
2nd
Penerbit:
SAGE Publications
Bahasa:
english
Halaman:
510
ISBN 10:
076191904X
ISBN 13:
9780761919049
Nama seri:
Advanced Quantitative Techniques in the Social Sciences 1
File:
PDF, 5.98 MB
IPFS:
,
english, 2002
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