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A new study finds that many U.S. adults — roughly one in five — are deeply religious, know a lot about science, and support many practical uses of science and technology in everyday life, but reject scientific explanations of creation and evolution.
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A new study reveals that individuals in their 60s who give advice to a broad range of people tend to see their lives as especially meaningful. At the same time, this happens to be the age when opportunities for dispensing advice become increasingly scarce.
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Skin color is a significant factor in the probability of employment for male immigrants to the United States, according to a new study by two University of Kansas (KU) researchers.
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Putting the lie to "digital dualism" in an essay on the inseparability of online and offline selves.
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When a devastating earthquake and tsunami hit japan in 2011, the effects were felt by over a million expatriates worldwide.
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In recent years, several international-comparative studies have analyzed the relationship between migration and native populations’ decreasing support for redistributive policies. However, these studies use cross-sectional designs and aggregate the number of foreign-born residents at the national level. Both aspects are theoretically and methodologically problematic. We address these shortcomings by investigating cross-sectional as well as longitudinal effects in the case of Germany, using a combination of individual- and regional-level data for several time points from 1994 to 2010.
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Drawing from life course, social networks, and developmental social psychology scholarship, this article considers how advice transmission varies across age groups and examines the age-contingent associations between advice-giving and life meaning. Binomial and ordered logistic regression using the 2006 Portraits of American Life Study (n = 2,583) reveal that adults in their twenties are most likely to report offering advice to multiple social targets.
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Age discrimination is pervasive in the United States, yet little is known about the social contexts in which it occurs. Older persons spend much of their time in their neighborhoods, where a density of other older persons may protect against age discrimination. Extending group density theory to age, we analyze data from 1,561 older adults from the second wave of the National Survey of Midlife Development in the United States, using neighborhood-level data from the 2010 U.S. census.
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Research documents that lenders discriminate between loan applicants in traditional and peer-to-peer lending markets, yet we lack knowledge about the mechanisms driving lenders’ behavior. I offer one possible mechanism: When lenders assess borrowers, they are implicitly guided by cultural stereotypes about the borrowers’ status. This systematically steers lenders toward funding higher status groups even when applicants have the same financial histories.
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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.
