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Frey's Scenario F simulation mentioned in account of the Democratic Party's tribulations

U-M Poverty Solutions funds nine projects

Dynarski says NY's Excelsior Scholarship Program could crowd out low-income and minority students

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Workshops on EndNote, NIH reporting, and publication altmetrics, Jan 26 through Feb 7, ISR

2017 PAA Annual Meeting, April 27-29, Chicago

NIH funding opportunity: Etiology of Health Disparities and Health Advantages among Immigrant Populations (R01 and R21), open Jan 2017

Russell Sage 2017 Summer Institute in Computational Social Science, June 18-July 1. Application deadline Feb 17.

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Mon, Jan 23, 2017 at noon:
Decline of cash assistance and child well-being, Luke Shaefer

Using Variation in Response Rates of Demographic Subgroups as Evidence of Nonresponse Bias in Survey Estimates

Archived Abstract of Former PSC Researcher

Peytcheva, E., and Robert M. Groves. 2009. "Using Variation in Response Rates of Demographic Subgroups as Evidence of Nonresponse Bias in Survey Estimates." Journal of Official Statistics, 25(2): 193-201.

Survey researchers frequently compare the demographic distributions of respondents to the corresponding distribution from the target population (often using census data). Many researchers hope that if the respondents in their study have demographic characteristics similar to those of the target population, their research findings do not suffer from nonresponse bias. Hence, it is useful to ask the question whether the nonresponse biases of demographic statistics are predictive of biases in key substantive statistics of the same surveys. A meta-analysis of 23 methodological studies designed to estimate levels of nonresponse bias in statistics of interest was conducted. The data from the 23 studies suggest that the difference between respondent and nonrespondent means for demographic variables is not predictive of the difference between respondent and nonrespondent means for substantive variables of the same survey.

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