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ISR's Scott Page says diverse teams produce optimal results

Bound, Geronimus, et al. find estimates of decreasing longevity among low-SES whites sensitive to measures and interpretations

Thompson casts doubt on the rehabilitative intentions of prison labor

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Seefeldt discusses her book Abandoned Families, Wed, March 29, 4 PM, Annenberg Auditorium

U-M participants at PAA Annual Meeting, April 27-29

Heather Ann Thompson wins Bancroft Prize for History for 'Blood in the Water'

Michigan ranks in USN&WR top-10 grad schools for sociology, public health, labor economics, social policy, social psychology

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Next Brown Bag

Mon, April 10, 2017, noon:
Elizabeth Bruch

A survey on survey statistics: What is done and can be done in Stata

Archived Abstract of Former PSC Researcher

Kreuter, Frauke, and Richard L. Valliant. 2007. "A survey on survey statistics: What is done and can be done in Stata." Stata Journal, 7(1): 1-21.

This article will survey issues in analyzing complex survey data and describe some of the capabilities of Stata for such analyses. We will briefly review key elements of survey design and explain the effects of different design features on bias and variance. We compare different methods of variance estimation for stratified and clustered samples and discuss the handling of survey weights. We will also give examples for the practical importance of Stata's survey capabilities.

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