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DTSTART;TZID=America/New_York:20171201T120000
DTEND;TZID=America/New_York:20171201T130000
DTSTAMP:20240422T145235Z
CREATED:20200103T135043Z
LAST-MODIFIED:20240422T145235Z
UID:35813-1512129600-1512133200@www.cpc.unc.edu
SUMMARY:When Should Researchers Use Inferential Statistics When Analyzing Data on Full Populations?
DESCRIPTION:Dr. Rob Warren (Professor of Sociology\, University of Minnesota) \nProfessor Warren is a sociologist\, demographer\, population health scholar\, and education policy researcher with experience and expertise in the collection\, production\, and dissemination of large-scale data products for research on health\, aging\, education\, and labor force outcomes. He is currently involved in the construction of the new 100% count historical Census data sets for IPUMS. Dr. Warren has worked intensively on WLS data infrastructure since his first week in graduate school; for example\, he designed and programmed the employment history and job characteristics modules of every survey of the Wisconsin Longitudinal Study (WLS) administered since the mid-1990s. Dr. Warren also serves as the Director of the Minnesota Population Center.
URL:https://www.cpc.unc.edu/event/when-should-researchers-use-inferential-statistics-when-analyzing-data-on-full-populations/
CATEGORIES:2017-18 Interdisciplinary Research Seminars,Aging
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