Mon, April 10, 2017, noon:
Raudenbush, Stephen W., and A.S. Bryk. 2002. Hierarchical Linear Models. Sage, Thousand Oaks.
New edition of a text in which Raudenbush (U. of Michigan) and Bryk (sociology, U. of Chicago) provide examples, explanations, and illustrations of the theory and use of hierarchical linear models (HLM). New material in Part I (Logic) includes information on multivariate growth models, an expanded number of illustrative examples, further data analytic advice on centering of level-1 predictors, and discussion of plausible value intervals and robust standard errors. Part III (Advanced Applications) is entirely new. Bryk's name appears first on the previous edition. Annotation c. Book News, Inc., Portland, OR (booknews.com)