Annual Review of Sociology - Volume 43, 2017

There has lately been a slew of movies—biopics—that depict the lives of immensely talented individuals—the Indian mathematician Srinivasa Ramanujan, the cryptographer and computing pioneer Alan Turing, the physicist extraordinaire Stephen Hawking, and the southern-born novelist Thomas Wolfe, among others. As I think about my life and accomplishments, I know full well that they are way out of my league. All the same, I offer the following autobiographical account.

Social life increasingly occurs in digital environments and continues to be mediated by digital systems. Big data represents the data being generated by the digitization of social life, which we break down into three domains: digital life, digital traces, and digitalized life. We argue that there is enormous potential in using big data to study a variety of phenomena that remain difficult to observe. However, there are some recurring vulnerabilities that should be addressed. We also outline the role institutions must play in clarifying the ethical rules of the road. Finally, we conclude by pointing to a number of nascent but important trends in the use of big data.

Using field experiments, scholars can identify causal effects via randomization while studying people and groups in their naturally occurring contexts. In light of renewed interest in field experimental methods, this review covers a wide range of field experiments from across the social sciences, with an eye to those that adopt virtuous practices, including unobtrusive measurement, naturalistic interventions, attention to realistic outcomes and consequential behaviors, and application to diverse samples and settings. The review covers four broad research areas of substantive and policy interest: first, randomized controlled trials, with a focus on policy interventions in economic development, poverty reduction, and education; second, experiments on the role that norms, motivations, and incentives play in shaping behavior; third, experiments on political mobilization, social influence, and institutional effects; and fourth, experiments on prejudice and discrimination. We discuss methodological issues concerning generalizability and scalability as well as ethical issues related to field experimental methods. We conclude by arguing that field experiments are well equipped to advance the kind of middle-range theorizing that sociologists value.

Despite long-standing recognition of the importance of family background in shaping life outcomes, only recently have empirical studies in demography, stratification, and other areas begun to consider the influence of kin other than parents. These new studies reflect the increasing availability of genealogical microdata that provide information about ancestors and kin over three or more generations. These data sets, including family genealogies, linked vital registration records, population registers, longitudinal surveys, and other sources, are valuable resources for social research on family, population, and stratification in a multigenerational perspective. This article reviews relevant recent studies, introduces and presents examples of the most important sources of genealogical microdata, identifies key methodological issues in the construction and analysis of genealogical data, and suggests directions for future research.

Network sampling emerged as a set of methods for drawing statistically valid samples of hard-to-reach populations. The first form of network sampling, multiplicity sampling, involved asking respondents about events affecting those in their personal networks; it was subsequently applied to studies of homicide, HIV, and other topics, but its usefulness is limited to public events. Link-tracing designs employ a different approach to study hard-to-reach populations, using a set of respondents that expands in waves as each round of respondents recruit their peers. Link-tracing as applied to hidden populations, often described as snowball sampling, was initially considered a form of convenience sampling. This changed with the development of respondent-driven sampling (RDS), a widely used network sampling method in which the link-tracing design is adapted to provide the basis for statistical inference. The literature on RDS is large and rapidly expanding, involving contributions by numerous independent research groups employing data from dozens of different countries. Within this literature, many important research questions remain unresolved, including how best to choose among alternative RDS estimators, how to refine existing estimators to make them less dependent on assumptions that are sometimes counterfactual, and perhaps the greatest unresolved issue, how best to calculate the variability of the estimates.

This review focuses on recent methodological and technological developments in survey data collection. Surveys are facing unprecedented challenges from both societal and technological changes. Against this backdrop, I review the survey profession's response to these challenges and developments to enhance and extend the survey tool. I discuss the decline in random digit dialing and the rise of address-based sampling, along with the corresponding shift from telephone surveys to self-administered (mail and/or Web) modes. I discuss the rise in nonprobability sampling approaches, especially those associated with online data collection. I also review so-called big data alternatives to surveys. Finally, I discuss a number of recent methodological and technological trends designed to modernize the survey method. I conclude that although they face a number of major challenges, surveys remain a robust and flexible method for collecting data on, and making inference to, populations.

Across the medical and social sciences, new discussions about replication have led to transformations in research practice. Sociologists, however, have been largely absent from these discussions. The goals of this review are to introduce sociologists to these developments, synthesize insights from science studies about replication in general, and detail the specific issues regarding replication that occur in sociology. The first half of the article argues that a sociologically sophisticated understanding of replication must address both the ways that replication rules and conventions evolved within an epistemic culture and how those cultures are shaped by specific research challenges. The second half outlines the four main dimensions of replicability in quantitative sociology—verifiability, robustness, repeatability, and generalizability—and discusses the specific ambiguities of interpretation that can arise in each. We conclude by advocating some commonsense changes to promote replication while acknowledging the epistemic diversity of our field.

The methodological tool chest available to those who study digital technologies ranges from those that are uniquely digital methods to approaches that are well established in the social sciences. This domain of work includes the application of methods to answer questions about the relationship between digital technologies and the social world, as well as the use of digital methods to answer questions about the offline world. New or old, quantitative or qualitative, the methods used to study the digital have strengths and weaknesses unique to this area of research. These issues include questions about the scope of cyberethnography, the validity of trace data, and the analytical division between on- and offline interaction. This review focuses on an overview of different methods, their history, and their strengths and weaknesses as applied to the study of digital technologies, including ethnographic approaches, interviews, surveys, time and media diaries, trace data, and online experiments.

During the last few years a number of articles and books have appeared that signal the emergence of a novel approach to the role of theory in sociology. Instead of equating theory with important studies, the main focus of this approach is how to use theory in ongoing empirical research and especially what happens before the presentation of the results. The key task is to empower the individual researcher to do better research. A word that keeps recurring, and that can also be said to summarize this approach, is theorizing. Three core ideas of this approach are discussed: Theorizing is of a practical nature, it draws on a number of basic theorizing tools (such as abduction, abstraction, and analogy), and the area covered by theorizing is considerably larger than that of conventional theory. If successful, the approach of theorizing would demand a much more active and central role for the theoretician in sociology.

Over the past half century, scholars in the interdisciplinary field of judgment and decision making have amassed a trove of findings, theories, and prescriptions regarding the processes ordinary people enact when making choices. This body of knowledge, however, has had little influence on sociology. Sociological research on choice emphasizes how features of the social environment shape individual outcomes, not people's underlying decision processes. Our aim in this article is to provide an overview of selected ideas, models, and data sources from decision research that can fuel new lines of inquiry into how socially situated actors navigate both everyday and major life choices. We also highlight opportunities and challenges for cross-fertilization between sociology and decision research that can allow each field to expand its range of inquiry.

Social networks are heavily implicated in large-scale social transformations. They are both transformed and transformative. We review the ways in which social networks act as agents of change in macrohistorical processes, stressing two distinct theoretical approaches. Formalism analyzes the structure of networks. Relationalism evaluates the linking properties of networks. Using these two approaches to organize the literature, we present the current state of knowledge on the effects of social networks for four central macrohistorical outcomes: civil uprising, state formation, global and national policy formation and diffusion, and economic development and increasing inequality. We then consider new theoretical advances in institutional emergence and methodological innovations in computational modeling and their potential for reconciling and advancing existing findings and approaches on the effects of social networks on macrosocial change.

What are, and what should be, the boundaries between self and society, individuals and groups? To address these questions, we synthesize research on privacy that is relevant for two foundational sociological issues: social order and inequality. By synthesizing work on a narrow yet fundamental set of issues, we aim to improve our understanding of privacy as well as provide a foundation for understanding contemporary privacy issues associated with information and communication technology. We explore the role of privacy in maintaining social order by examining the connections of privacy with social control and with group cohesion. We also discuss how inequality produces variation in privacy and how this variation in turn contributes to inequality. Throughout the review we identify potential directions for sociological research on privacy generally and in the context of new technologies. Our discussion highlights implications of privacy that extend beyond individual-level concerns to broader social, structural impacts.

Philanthropy—private giving for public purposes by individuals, corporations, and foundations—is a widespread activity. Scholarship on philanthropy is long-standing and can be traced to competing theorizations of gift-giving, wherein the gift has been framed as a case of altruism, self-interest, or reciprocity. Much of the resulting scholarship, in the disciplines of anthropology, economics, evolutionary biology, and psychology, has retained a focus on emphasizing actors’ motivations for the scope and scale of philanthropy. Although sociologists have entered into the study of philanthropy more recently, they nonetheless have made important contributions to its understanding by drawing attention to the social bases of philanthropy. Sociologists have done so through the study of the micro-, meso-, and macro-level factors that explain variation in philanthropy; the specification of the institutional and legal arrangements that permit philanthropy; and the delineation of the social contexts that shape the direction and consequences of philanthropy.

Sociological research on labor markets has focused most of its attention on the supply side of the labor market, that is, the characteristics of job seekers and job incumbents. Despite its pivotal and we believe primary role in labor market processes, the demand side, in particular the hiring decisions made by employers, has received less attention. The employment relationship, however, comprises both the demand and supply sides, as well as the matching processes that bring these together. We consider the sociology of the demand side by considering three sources of information (human, social, and cultural capital) that employers charged with making hiring decisions seek out, as well as the mechanisms associated with each source. We conceptualize employers as active agents whose hiring behavior is both constrained and enabled by larger social, organizational, and institutional contexts. We call for a program of research that will lead to a fuller empirical and theoretical understanding of employer hiring behavior and its place in the stratifying of labor markets.

Despite their egalitarian ethos, schools are social sorting machines, creating categories that serve as the foundation of later life inequalities. In this review, we apply the theory of categorical inequality to education, focusing particularly on contemporary American schools. We discuss the range of categories that schools create, adopt, and reinforce, as well as the mechanisms through which these categories contribute to production of inequalities within schools and beyond. We argue that this categorical inequality frame helps to resolve a fundamental tension in the sociology of education and inequality, shedding light on how schools can—at once—be egalitarian institutions and agents of inequality. By applying the notion of categorical inequality to schools, we provide a set of conceptual tools that can help researchers understand, measure, and evaluate the ways in which schools structure social inequality.

The global proliferation of quotas for women over the past 30 years is both remarkable and consequential. Targeting decision-making positions historically resistant to women's equal inclusion, the adoption of electoral and corporate board quotas has at times been controversial. After adoption, quotas have influenced women's numbers, the performance and outcomes of decision-making bodies, and broader public attitudes. In this review, we distinguish among types of electoral and corporate quotas, trace arguments for and against the adoption of quotas, and review research on factors that influence quota adoption across time and space. After outlining the methodological difficulties in demonstrating an impact of gender quotas, we review research that is able to isolate an impact of quotas in politics and business. We conclude by providing several suggestions to ensure that future research continues to advance our understanding of the form, spread, and impact of gender quotas.

Graduate and professional education play an increasingly important role in economic inequality and elite formation in the United States, but sociologists have not subjected stratification in and through graduate education to the same level of scrutiny recently applied to undergraduate and subbaccalaureate education. In this review, we discuss how prominent stratification theories might be extended to studies of the role of graduate and professional education, and we review research about stratification at junctures along student pathways into and through postbaccalaureate education to the labor market. Especially in doctoral and professional education, we find persistent stratification, including pronounced educational inheritance and disparities in participation and degree attainment by race/ethnicity and gender. We propose future directions for inquiry, highlighting unanswered questions and conceptual issues concerning how the field of and pathways through postbaccalaureate education contribute to social stratification.

Research on wealth inequality and accumulation and the data upon which it relies have expanded substantially in the twenty-first century. Although the field has experienced rapid growth, conceptual and methodological challenges remain. We begin by discussing two major unresolved methodological concerns facing wealth research: how to address challenges to causal inference posed by wealth's cumulative nature and how to operationalize net worth given its highly skewed distribution. Next, we provide an overview of data sources available for wealth research. To underscore the need for continued empirical attention to net worth, we review trends in wealth levels and inequality and evaluate wealth's distinctiveness as an indicator of social stratification. We then review recent empirical evidence on the effects of wealth on other social outcomes, as well as research on the determinants of wealth. We close with a list of promising avenues for future research on wealth, its causes, and its consequences.

We examine a vast, interdisciplinary, and increasingly global literature concerning skin color and colorism, which are related to status throughout the world. The vast majority of research has investigated Western societies, where color and colorism have been closely related to race and racism. In Latin America, the two sets of concepts have particularly overlapped. In the rest of the world, particularly in Asia, color and colorism have also been important but have evolved separately from the relatively new concepts of race and racism. In recent years, however, color consciousness and white supremacy appear to have been increasingly united, globalized, and commodified, as exemplified by the global multibillion-dollar skin-lightening industry. Finally, we document the growing methodological attention to measurements of skin color and social science data that incorporate skin color measures.

The field of transgender studies has grown exponentially in sociology over the last decade. In this review, we track the development of this field through a critical overview of the sociological scholarship from the last 50 years. We identify two major paradigms that have characterized this research: a focus on gender deviance (1960s–1990s) and a focus on gender difference (1990s–present). We then examine three major areas of study that represent the current state of the field: research that explores the diversity of transgender people's identities and social locations, research that examines transgender people's experiences within institutional and organizational contexts, and research that presents quantitative approaches to transgender people's identities and experiences. We conclude with an agenda for future areas of inquiry.