Education
Repeated measures of the same individuals can be studied with these models as observations nested in people. Raudenbush received an Editor.D. in Policy Analysis and Evaluation Research in 1984 from Harvard University.
( Popular in the First Edition for its rich, illustrative...)
Popular in the First Edition for its rich, illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM), the book has been reorganized into four parts with four completely new chapters. The first two parts, Part I on "The Logic of Hierarchical Linear Modeling" and Part II on "Basic Applications" closely parallel the first nine chapters of the previous edition with significant expansions and technical clarifications, such as: * 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 in Chapter 3 * New section on multivariate growth models in Chapter 6 * A discussion of research synthesis or meta-analysis applications in Chapter 7 * Data analytic advice on centering of level-1 predictors and new material on plausible value intervals and robust standard estimators
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Repeated measures of the same individuals can be studied with these models as observations nested in people. Raudenbush received an Editor.D. in Policy Analysis and Evaluation Research in 1984 from Harvard University.
He is best known for his development and application of hierarchical linear models (HLM) in the field of education but he has also published on other subjects such as health and crime. Hierarchical linear models, which go by many other names, are used to study many natural processes. To use an example from education, a three level hierarchical model might account for the fact that students are nested in classrooms which are nested in schools.
With the right data one could go further and note that schools are nested in districts which are nested in states.
In subsequent years he made major contributions to education research. His work has earned him numerous honors.
( Popular in the First Edition for its rich, illustrative...)
(Will be shipped from US. Brand new copy.)
"How do we study what happens next?" Annals of the American Academy of Political and Social Science, November 1, 2005, 601(1). "Comparing personal trajectories and drawing causal inferences from longitudinal data." Annual Review of Psychology, 52, 501-25, 2001.
National Academy of Sciences.