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Groves keynote speaker at MIDAS symposium, Nov 15-16: "Big Data: Advancing Science, Changing the World"

Shaefer says drop child tax credit in favor of universal, direct investment in American children

Buchmueller breaks down partisan views on Obamacare

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Gonzalez, Alter, and Dinov win NSF "Big Data Spokes" award for neuroscience network

Post-doc Melanie Wasserman wins dissertation award from Upjohn Institute

ISR kicks off DE&I initiative with lunchtime presentation: Oct 13, noon, 1430 ISR Thompson

U-M ranked #4 in USN&WR's top public universities

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Next Brown Bag

Mon, Oct 24 at noon:
Academic innovation & the global public research university, James Hilton

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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