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Miech on 'generational forgetting' about drug-use dangers

Impacts of H-1B visas: Lower prices and higher production - or lower wages and higher profits?

MTF data show 10% of 19-20 year-olds report bouts of drinking 10-plus alcoholic beverages

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Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Next Brown Bag

Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"

Micro-Macro Theoretical Linkages in Social Demography: A Thematic Session

Archived Abstract of Former PSC Researcher

Mason, William M. "Micro-Macro Theoretical Linkages in Social Demography: A Thematic Session." PSC Research Report No. 89-166. 10 1989.

This paper addresses the critical stances of certain sociologists and statisticians in relation to quantitative, comparative, multilevel analysis. The author reaches two main conclusions: (1) Multilevel analysis brings with it a great deal of conceptual baggage in the form of assumptions that need to be checked. More public effort should be expended on assumption checking. (2) The major criticisms of statisticians concerning the use of observational data instead of experimental data apply fully to multilevel analysis -- comparative or intra-societal -- if the multilevel analysis is based on nonexperimental data. But it does not have to be. For example, it is possible to carry out a series of experiments, and model variability in the results across experiments.

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