Hierarchical Linear Models: Applications and Data Analysis Methods: 1 (Advanced Quantitative Techniques in the Social Sciences)

by Anthony S. Bryk (Author), Stephen W. Raudenbush (Author)

• New

  Hardcover
  2002

  $100.67

  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.