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Davis-Kean et al. link children's self-perceptions to their math and reading achievement

Yang and Mahajan examine how hurricanes impact migration to the US

Patrick and colleagues analyze high-intensity drinking among adolescents

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Pamela Smock elected to PAA Committee on Publications

Viewing the eclipse from ISR-Thompson

Paula Fomby to succeed Jennifer Barber as Associate Director of PSC

PSC community celebrates Violet Elder's retirement from PSC

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Next Brown Bag

Mon, Sept 11, 2017, noon:
Welcoming of Postdoctoral Fellows: Angela Bruns, Karra Greenberg, Sarah Seelye and Emily Treleaven

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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