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Each year, 311 — New York City's main hub for government information and non-emergency services — receives millions of requests and complaints, including New Yorkers' gripes about their neighbors.
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Actresses need to be pickier than men about with whom they work if they want to survive in the movie industry, suggests a new study.
"My research indicates that women in the film industry suffer a lack of access to future career opportunities when they tend to work with people who have collaborated frequently in the past," said Mark Lutter, lead author of the study and head of the "Transnational Diffusion of Innovation" Research Group at the Max Planck Institute for the Study of Societies (MPIfG) in Germany.
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America's welfare state is quietly evolving from needs-based to an employment-based safety net that rewards working families and fuels dreams of a better life, indicates a new study led by a Michigan State University (MSU) scholar.
The major reason: the little-known Earned Income Tax Credit (EITC), a $65 billion federal tax-relief program for poor, working families. The program has been expanded dramatically during the past 25 years, while cash welfare has been sharply curtailed.
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People whose sexual identities changed toward same-sex attraction in early adulthood reported more symptoms of depression in a nationwide survey than those whose sexual orientations did not change or changed in the opposite direction, according to a new study by a University of Illinois at Chicago (UIC) sociologist.
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Community reactions against organizations can be driven by negative information spread through a diffusion process that is distinct from the diffusion of organizational practices. Bank panics offer a classic example of selective diffusion of negative information. Bank panics involve widespread bank runs, although a low proportion of banks experience a run. We develop theory on how organizational similarity, community similarity, and network proximity create selective diffusion paths for resistance against organizations.
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Social capital theorists claim that belonging to a densely knit social network creates a shared identity, mutually beneficial exchange, trust, and a sense of belonging in that group. Taken together with the empirical research on the importance of social support and social integration for individuals’ well-being, there is reason to expect that the density of one’s personal social network should be positively related to well-being.
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Although sequence analysis has now become a widespread approach in the social sciences, several strategies have been developed to handle the specific issue of multidimensional sequences. These strategies have distinct characteristics related to the way they explicitly emphasize multidimensionality, interdependence, and parsimony.
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"Big data" in the form of unstructured text pose challenges and opportunities to social scientists committed to advancing research frontiers. Because machine-based and human-centric approaches to content analysis have different strengths for extracting information from unstructured text, the authors argue for a collaborative, hybrid approach that combines their comparative advantages.
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Context effects on survey response, caused by the unobserved interaction between beliefs stored in personal memory and triggers generated by the structure of the survey instrument, are a pervasive challenge to survey research. The authors argue that randomized survey experiments on representative samples, when paired with facilitative primes, can enable researchers to model selection into variable context effects, revealing heterogeneity at the population level.
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We argue that the mismatch between data and analytical methods, along with common practices for dealing with "messy" data, can lead to inaccurate conclusions. Specifically, using previously published data on racial bias and culture of honor, we show that manifest effects, and therefore theoretical conclusions, are highly dependent on how researchers decide to handle extreme scores and nonlinearities when data are analyzed with traditional approaches.