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Thompson says LGBT social movement will bring new strength in push for tighter gun control

Yang says devalued pound will decrease resources for the families of migrant workers in Britain

Work by Brown, Ryan, Jackson cited in brief for UT Supreme Court case on race-conscious college admissions

Highlights

Overview of Michigan's advanced research computing resources, Monday, June 27, 9-10:30 am, BSRB - Kahn Auditorium

U-M's Data Science Initiative offers expanded consulting services via CSCAR

Elizabeth Bruch promoted to Associate Professor

Susan Murphy elected to the National Academy of Sciences

Next Brown Bag

PSC Brown Bags
will resume fall 2016

Hierarchical Linear Models

Archived Abstract of Former PSC Researcher

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)

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