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Despite a steep rise in income inequality over the past five decades, Americans' preferences for redistribution have remained stagnant. Previous research suggests that redistributive preferences are rooted in stable institutional and cultural contexts but can change with exposure to information. We investigate the role of understandings of the link between income and psychological well-being in shaping policy preferences. Further, we consider whether effects differ if similar information is framed in terms of disadvantages for the poor versus advantages for the affluent. In a large, preregistered online experiment (N = 2,751), we examined the effects of three common themes in scholarship on happiness and well-being: Money Prevents Unhappiness, Money Provides Happiness, and Money Doesn't Matter. Results show that learning that Money Prevents Unhappiness (versus the other two themes) increased egalitarian preferences. Effects were moderated by political ideology, income, and subjective social class but not by race. We discuss the implications of these findings in light of the current cultural discourse about happiness, which often privileges non-income causes and positive emotions. [ABSTRACT FROM AUTHOR]

Central to affect control theory are culturally shared meanings of concepts. That these sentiments overlap among members of a culture presumably reflects their roots in the language use that members observe. Yet, the degree to which the affective meaning of a concept is encoded in the way linguistic representations of that concept are used in everyday symbolic exchange has yet to be demonstrated. The question has methodological as well as theoretical significance for affect control theory, as language may provide an unobtrusive, behavioral method of obtaining EPA ratings complementary to those heretofore obtained via questionnaires. We pursue a series of studies that evaluate whether tools from machine learning and computational linguistics can capture the fundamental affective meaning of concepts from large text corpora. We develop an algorithm that uses word embeddings to predict EPA profiles available from a recent EPA dictionary derived from traditional questionnaires, as well as novel concepts collected using an open-source web app we have developed. Across both a held-out portion of the available data as well as the novel data, our best predictions correlate with survey-based measures of the E, P, and A ratings of concepts at a magnitude greater than 0.85, 0.8, and 0.75 respectively. [ABSTRACT FROM AUTHOR]

In observational studies, regression coefficients for categorical regressors are overwhelmingly presented in terms of contrasts with a reference category. For unordered regressors with many categories, however, this approach often focuses on contrasting different pairs of categories to one another with little substantive rationale for foregrounding some comparisons with others. Mean contrasts, which compare categories with the overall mean, provide an alternative to the reference category, but the magnitude of mean contrasts is conflated with the relative sizes of the categories. Instead, binary contrasts compare a category with all the other categories, allowing the familiar interpretation for dichotomous regressors. Our command binarycontrast computes binary contrasts. [ABSTRACT FROM AUTHOR]

Social scientists often present modeling results from categorical explanatory variables, such as gender, race, and marital status, as coefficients representing contrasts to a "reference" group. Although choosing the reference category may seem arbitrary, the authors argue that it is an intrinsically meaningful act that affects the interpretability of results. Reference category selection foregrounds some contrasts over others. Also, selecting a culturally dominant group as the reference can subtly reify the notion that dominant groups are the most "normal." The authors find that three of four recently published tables in Demography and American Sociological Review that include race or gender explanatory variables use dominant groups (i.e., male or white) as the reference group. Furthermore, the tables rarely state what the reference is: only half of tables with race variables and one-fifth of tables with gender variables explicitly specify the reference category; the rest leave it up to the reader to check the methods section or simply guess. As an alternative to this apparently standard practice, the authors suggest guidelines for intentionally and responsibly choosing a reference category. The authors then discuss alternative ways to convey results from categorical explanatory variables that avoid the problems of reference categories entirely. [ABSTRACT FROM AUTHOR]

Women's opportunities have been profoundly altered over the past century by reductions in the social and structural constraints that limit women's educational attainment. Do social constraints manifest as a suppressing influence on genetic indicators of potential, and if so, did equalizing opportunity mean equalizing the role of genetics? We address this with three cohort studies: the Wisconsin Longitudinal Study (WLS; birth years 1939 to 1940), the Health and Retirement Study, and the National Longitudinal Study of Adolescent Health (Add Health; birth years 1975 to 1982). These studies include a "polygenic score" for educational attainment, providing a novel opportunity to explore this question. We find that within the WLS cohort, the relationship between genetics and educational outcomes is weaker for women than for men. However, as opportunities changed in the 1970s and 1980s, and many middle-aged women went back to school, the relationship between genetic factors and education strengthened for women as they aged. Furthermore, utilizing the HRS and Add Health, we find that as constraints limiting women's educational attainment declined, gender differences in the relationship between genetics and educational outcomes weakened. We demonstrate that genetic influence must be understood through the lens of historical change, the life course, and social structures like gender. [ABSTRACT FROM AUTHOR]

The meaning of objectivity in any specific setting reflects historically situated understandings of both science and self. Recently, various scientific fields have confronted growing mistrust about the replicability of findings, and statistical techniques have been deployed to articulate a “crisis of false positives.” In response, epistemic activists have invoked a decidedly economic understanding of scientists’ selves. This has prompted a scientific social movement of proposed reforms, including regulating disclosure of “backstage” research details and enhancing incentives for replication. We theorize that together, these events represent the emergence of a new formulation of objectivity. Statistical objectivity assesses the integrity of research literatures in the results observed in collections of studies rather than the methodological details of individual studies and thus positions meta-analysis as the ultimate arbiter of scientific objectivity. Statistical objectivity presents a challenge to scientific communities and raises new questions for sociological theory about tensions between quantification and expertise. [ABSTRACT FROM AUTHOR]

An essay is presented on the history of the arrival of social science genomics. The book of author Dalton Conely and Jason Fletcher titled "The Genome Factor," which offers a commendable overview of social science genomics and the promising development for social scientists, is cited. The three-act play which describes the evolution of social science genomics and the attempt of scientists to discover the relationship between specific genetic difference is mentioned.

This article addresses a potentially serious problem with the widely used self-rated health (SRH) survey item: that different groups have systematically different ways of using the item’s response categories. Analyses based on unadjusted SRH may thus yield misleading results. The authors evaluate anchoring vignettes as a possible solution to this problem. Using vignettes specifically designed to calibrate the SRH item and data from the Wisconsin Longitudinal Study (WLS; N = 2,625), the authors show how demographic and health-related factors, including sex and education, predict differences in rating styles. Such differences, when not adjusted for statistically, may be sufficiently large to lead to mistakes in rank orderings of groups. In the present sample, unadjusted models show that women have better SRH than men, but this difference disappears in models adjusting for women’s greater health-optimism. Anchoring vignettes appear a promising tool for improving intergroup comparability of SRH. [ABSTRACT FROM PUBLISHER]

We draw on conversation analytic methods and research to explicate the interactional phenomenon of requesting in general and the specific case of requesting participation in survey interviews. Recent work on survey participation gives much attention to leverage-saliency theory but does not explore how the key concepts of this theory are exhibited in the actual unfolding interaction of interviewers and potential respondents. We examine interaction using digitally recorded and transcribed calls to recruit participation in the 2004 Wisconsin Longitudinal Study. We describe how potential respondents present interactional environments that are relatively discouraging or encouraging, and how, in response, interviewers may be relatively cautious or presumptive in their requesting actions. We consider how interviewers’ ability to tailor their behavior to their interactional environments can affect whether an introduction reaches the point at which a request to participate is made, the form that this request takes, and the sample person’s response. This article contributes to understanding the social action of requesting and specifically how we might use insights from analyses of interaction to increase cooperation with requests to participate in surveys. [ABSTRACT FROM PUBLISHER]

Social scientists have predicted that individuals who occupy socially privileged positions or who have conservative political orientations are most likely to endorse the idea that genes are the root cause of differences among individuals. Drawing on a nationally representative sample of the US population, this study examines belief in the importance of genes for understanding individual differences in a series of broad domains: physical illness, serious mental illness, intelligence, personality, and success in life. We also assess whether the belief that genetics are important for these outcomes is more common among those in relatively advantaged positions or among those who are more politically conservative. Finally, we consider whether such beliefs predict attitudes toward genetics-related social policies. Our analyses suggest that belief in the importance of genetics for individual differences may well have a substantial effect on attitudes toward genetics-related policies, independent of political orientation or other measures. Our study identifies high levels of endorsement for genes as causes of health and social outcomes. We describe a cultural schema in which outcomes that are "closer to the body" are more commonly attributed to genetics. Contrary to expectations, however, we find little evidence that it is more common for whites, the socioeconomically advantaged, or political conservatives to believe that genetics are important for health and social outcomes. [ABSTRACT FROM AUTHOR]

Commentators appreciate the benefits of developing improved standards for replicating quantitative results in sociology. Nonetheless, reservations remain, and the author addresses several of them and explains why improved replication standards do not endanger participant confidentiality, do not undermine incentives for collecting data, do not need to wait for greater standardization of data formats, need not require that editors assign a reviewer to actually replicate results, and do not diminish methodological diversity in any positive sense. The author concludes by encouraging sociologists to find a way of moving beyond intermittent discussions of replication standards to collective action. [ABSTRACT FROM AUTHOR]

The credibility of quantitative social science benefits from policies that increase confidence that results reported by one researcher can be verified by others. Concerns about replicability have increased as the scale and sophistication of analyses increase the possible dependence of results on subtle analytic decisions and decrease the extent to which published articles contain full descriptions of methods. The author argues that sociology should adopt standards regarding replication that minimize its conceptualization as an ethical and individualistic matter and advocates for a policy in which authors use independent online archives to deposit the maximum possible information for replicating published results at the time of publication and are explicit about the conditions of availability for any necessary materials that are not provided. The author responds to several objections that might be raised to increasing the transparency of quantitative sociology in this way and offers a candidate replication policy for sociology. [ABSTRACT FROM AUTHOR]

Gender differences in risk preferences have been proposed to explain a large part of the widespread gender difference in religiousness. Using the same data and models that were used for a recent test of more general claims about the relationship between risk preference and religiousness, this study tests the more specific, but more provocative, idea that risk preferences account for a substantial portion of the gender difference in religiousness. The data are from the 1990-3 World Values Survey for the United States and Italy. Across four indicators of religiousness, analyses reveal no substantially consequential or statistically significant change in the estimated effect of gender on religiousness when risk preferences are added to regression models. in other words, while the data do support the notion that risk preferences are related to religiousness, they give no indication that this relationship accounts for the observed gender difference in religiousness. [ABSTRACT FROM AUTHOR]

Using the 1996 General Social Survey, the antecedents of feminist self-identification and their link to gender-related social attitudes are explored. Although most socio-demographic variables show either no relationship or a weak relationship with feminist self-identification, there are strong differences across cohorts. Males and females who were young adults during the "second wave" of feminism (birth years 1936 to 1955) are more likely to identify as feminists than are those younger or older. In addition, the link between feminist self-identification and some social attitudes is cohort specific: Seemingly profeminist positions distinguish self-identified feminists from nonfeminists only among members of the "second-wave" generation. These results reinforce the importance of political generation and suggest increasing heterogeneity in public conceptions of feminism. [ABSTRACT FROM AUTHOR]

While we commend Horwitz et al. (2003) for speaking to core issues in behavioral genetics, we disagree with many particulars of their article. We are skeptical of their claims regarding the particular contribution offered by both their methods and data. We believe also that the findings they present as challenging the equal environments assumption are, upon closer examination, not persuasive. Most fundamentally, we worry that the way in which Horwitz et al. conceptualize the relationship between genes and environments is not the best means of doing so for sociologists interested in engaging behavioral genetics. [ABSTRACT FROM AUTHOR]

The enduring effects of an individual's birth order have been subject to a long and lively debate in sociology and other disciplines. Recently, in response to Sulloway's (1996) Born to Rebel: Birth Order, Family Dynamics, and Creative Lives, interest has increased in the possible effects of birth order on social attitudes. Using quantitative, historical data, Sulloway found that birth order is a better predictor of social attitudes than is gender, class, or race. His novel, evolutionary theory asserts the universal influence of birth order across eras and cultures. We use contemporary data to test Sulloway's contention that firstborn adults are more conservative, supportive of authority, and "tough-minded" than laterborns. Examining 24 measures of social attitudes from the General Social Survey (GSS), we find no support for these claims, either in terms of significant effects or even the direction of nonsignificant coefficients. An expanded inquiry using all (202) relevant attitudinal items on the GSS yields similar results. In our analysis, variables discounted by Sulloway--gender, race, social class, and family size--are all linked to social attitudes more strongly than is birth order Our findings suggest that birth-order theories may be better conceptualized in terms of modest effects in limited domains and in specific societies. [ABSTRACT FROM AUTHOR]

The article discusses the articles “Patients-in-Waiting: Living Between Sickness and Health in the Genomics Era,” by Stefan Timmermans and Mara Buchbinder and “A Disservice to Advances in Newborn Genetic Screening: Comment on Timmermans and Buchbinder,” by Michael S. Watson, R. Rodney Howell and Piero Rinaldo. In the article the author offers his opinions on several points that are raised in the two articles and on sociology's contribution to the understanding of the consequences of medical innovations.

The article provides information about geocaching, a form of treasure hunt that began in the U.S. when the government allowed civilian access to accurate Global Positioning System signals in 2000. Geocaching is an outdoor hobby that appeals to the enthusiasm of people for solving puzzles and can serve as a tour guide to discover lesser-known sights. It also brings strangers together through requests for clues for caches, organized group hunts and meetings on the trail.

General intelligence (g) and virtually all other behavioral traits are heritable. Associations between g and specific single-nucleotide polymorphisms (SNPs) in several candidate genes involved in brain function have been reported. We sought to replicate published associations between g and 12 specific genetic variants (in the genes DTNBP1, CTSD, DRD2, ANKK1, CHRM2, SSADH, COMT, BDNF, CHRNA4, DISC1, APOE, and SNAP25) using data sets from three independent, well-characterized longitudinal studies with samples of 5,571, 1,759, and 2,441 individuals. Of 32 independent tests across all three data sets, only 1 was nominally significant. By contrast, power analyses showed that we should have expected 10 to 15 significant associations, given reasonable assumptions for genotype effect sizes. For positive controls, we confirmed accepted genetic associations for Alzheimer’s disease and body mass index, and we used SNP-based calculations of genetic relatedness to replicate previous estimates that about half of the variance in g is accounted for by common genetic variation among individuals. We conclude that the molecular genetics of psychology and social science requires approaches that go beyond the examination of candidate genes. [ABSTRACT FROM PUBLISHER]