Interpretation and interview context: examining the General Social Survey name generator using cognitive methods

This paper reports on a small (N=50) study of how survey respondents interpret the General Social Survey (GSS)'s “discuss important matters” name generator. The study involved concurrent think-aloud interviews, in which respondents were debriefed about their thought processes immediately after answering the name generator. Analyses of these responses indicate that some respondents had difficulty in specifying what was meant by the term “important matters”; sizable minorities understood the question in terms of frequency of contact or intimacy rather than in terms of specific social exchanges. Most of those interviewed said that their “important matters” had to do with personal/intimate relationships or other issues of personal life (e.g., finances, hobbies, or health), but appreciable numbers referred to work and political discussions. An interview context experiment revealed that a respondent's definition of “important matters” can be shaped by the substantive content of the preceding parts of an interview schedule. Notwithstanding these findings, the composition of the networks elicited in the study does not appear to vary substantially across interpretations of the name generator. We conclude that the name generator succeeds in measuring “core” discussion networks, though with somewhat nonspecific content. Implications for the measurement of personal networks in sample surveys are discussed.     

Advancing Social Capital Measurement: Using General Social Survey Cycles to Develop an Efficient Survey Instrument

The General Social Survey (GSS) has provided significant insight about the state of societies around the world through the International Social Survey Programme (ISSP). Although broadly applicable, in this study the context for developing a new social capital survey instrument covers the Canadian GSS since 1985. Questions in the GSS are often used by researchers who are interested in specific questions or themes for use in some form of re-sampling. Given significant social and relational themes, GSS cycles from 1985 to 2013 were reviewed using a social capital framework to produce a new Social Capital GSS survey instrument. A process of vetting and sorting questions led to development of a 41 question instrument that includes 16 demographic and context variables and 25 social network and trust variables. After testing and refinement, the instrument was used with a randomly sampled group across selected East Hamilton Census Tracts that are differentiated by median income and a standard deviation above and below respectively (n?=?97).     

Are respondents more likely to list alters with certain characteristics?: Implications for name generator data

Analyses of egocentric networks make the implicit assumption that the list of alters elicited by name generators is a complete list or representative sample of relevant alters. Based on the literature on free recall tasks and the organization of people in memory, I hypothesize that respondents presented with a name generator are more likely to name alters with whom they share stronger ties, alters who are more connected within the network, and alters with whom they interact in more settings. I conduct a survey that presents respondents with the GSS name generator and then prompts them to remember other relevant alters whom they have not yet listed. By comparing the alters elicited before and after prompts I find support for the first two hypotheses. I then go on to compare network-level measures calculated with the alters elicited by the name generator to the same measures calculated with data from all alters. These measures are not well correlated. Furthermore, the degree of underestimation of network size is related to the networks’ mean closeness, density, and mean duration of relationships. Higher values on these variables result in more accurate estimation of network size. This suggests that measures of egocentric network properties based on data collected using a single name generator may have high levels of measurement error, possibly resulting in misestimation of how these network properties relate to other variables.     

Weak ties and the core discussion network: Why people regularly discuss important matters with unimportant alters

Researchers have paid increasing attention to the core discussion network, the set of friends and family people turn to when discussing important matters. For nearly thirty years, social network researchers have argued that the network is composed of ego's closest or most important alters. This assumption, however, has not been tested empirically. Using original data on an online representative quota survey of 2000 respondents, I find that 45% of the core discussion network is composed of people whom respondents do not consider important to them. In fact, the core discussion network includes doctors, co-workers, spiritual leaders, and other alters whom ego confides in without feeling emotionally attached to. I examine what respondents consider important matters and why they approach weak ties to discuss these. Placing emphasis on the process through which ego mobilizes alters, I develop two theoretical perspectives, which focus on how people identify those appropriate to a topic and how they respond to opportunities in interactional contexts. Findings suggest that ego discusses important matters with non-close alters at times because they are known to be knowledgeable (targeted mobilization) and at times because they are available when important issues arise (opportune mobilization). Results suggest that recent findings about changes in the core discussion network of Americans are consistent with several different possibilities about the nature of strong ties, including those in which there has been no change at all.     

Network items and the general social survey

This is an argument for obtaining network data in the General Social Survey (GSS). The proposal requires a discussion of how and why at least minimal network data ought to be obtained in a probability sample survey of attitudes and behaviors.I begin with general concerns; briefly describing the proposal, available experience with the proposed items in large probability samples, how the proposed items are different from existing GSS items, kinds of variables that the proposed items would generate, and kinds of research questions that could be addressed if the proposed items were included in the GSS.I then address comparatively focused questions likely to arise in deliberations over the proposal; explaining how much interview time the proposed items are expected to require, why one rather than multiple name generators are proposed, why recording five alters is proposed, why intimacy is proposed as the name generator criterion content, why a short form is proposed for obtaining formal data, how priorities among name interpreter attribute items were established, how the proposed items elicit data on the strength and content of relationships, and how the proposed data might be coded for easy access by GSS users.     

Shared contexts and triadic closure in core discussion networks

This paper inquires into structural explanations for triadic closure in networks of confidants with whom one discusses important personal matters. Building upon the assumption that meeting opportunities affect network characteristics, we primarily argue that the social contexts in which network members meet, substantially affect triadic closure. The main empirical findings are (a) that about sixty percent of the triads in core discussion networks are closed triads, which also means that a substantial part of one's strong relations is unconnected, and (b) that meeting network members in the same social contexts is an important condition for, but certainly does not guarantee triadic closure. Importantly, the specific characteristics of social contexts explain why sharing certain contexts positively affects triadic closure, while sharing other contexts does not.     

Methodological considerations in the use of name generators and interpreters

With data from the Clergy Health Initiative Longitudinal Survey, we look for interviewer effects, differences between web and telephone delivery, and panel conditioning bias in an “important matters” name generator and interpreter, replicated from the U.S. General Social Survey. We find evidence of phone interviewers systematically influencing the number of confidants named, we observe that respondents assigned to the web survey reported a larger number of confidants, and we uncover strong support for panel conditioning. We discuss the possible mechanisms behind these observations and conclude with a brief discussion of the implications of our findings for similar studies.     

An exploratory comparison of name generator content: Data from rural India

Since the 1970s sociologists have explored the best means for measuring social networks, although few name generator analyses have used sociocentric data or data from developing countries, partly because sociocentric studies in developing countries have been scant. Here, we analyze 12 different name generators used in a sociocentric network study conducted in 75 villages in rural Karnataka, India. Having unusual sociocentric data from a non-Western context allowed us to extend previous name generator research through the unique analyses of network structural measures, an extensive consideration of homophily, and investigation of status difference between egos and alters. We found that domestic interaction questions generated networks that were highly clustered and highly centralized. Similarity between respondents and their nominated contacts was strongest for gender, caste, and religion. We also found that domestic interaction name generators yielded the most homogeneous ties, while advice questions yielded the most heterogeneous. Participants were generally more likely to nominate those of higher social status, although certain questions, such as who participants talk to uncovered more egalitarian relationships, while other name generators elicited the names of social contacts distinctly higher or lower in status than the respondent. Some questions also seemed to uncover networks that were specific to the cultural context, suggesting that network researchers should balance local relevance with global generalizability when choosing name generators.     

A note on social capital and network content

As a guide to selecting name generators for social capital research, I use network data on a probability sample of heterogeneous senior managers to describe how they sort relations into kinds, and how the kinds vary in contributing to social capital. Managers sort relations on two dimensions of strength - intimacy (especially close versus distant) versus activity (frequent contact with new acquaintances versus rare contact with old friends) - and with respect to two contents - personal discussion (confiding and socializing relations) versus corporate authority (the formal authority of the boss and informal authority of essential buy-in). Comparing name generators for their construct validity as indicators of social capital, I compute network constraint from different kinds of relations, and correlate constraint with early promotion. The correlation is strong for the network of personal relations, zero for the network of authority relations, and strongest for personal and authority relations together. I close with research design recommendations for selecting name generators.     

How stable is the core discussion network?

Researchers have paid increasing attention to the core discussion network, the set of people we turn to when discussing important matters. Because the core discussion network is theorized to be composed of people's closest ties, not fleeting acquaintances, it is expected to be largely stable, evolving slowly over the span of people's lives. However, recent studies have shown that networks are strongly affected by the contexts in which people interact with others, and as people experience life course transitions, they also often enter new contexts – school, college, work, marriage, and retirement. We ask whether, as actors enter new social contexts, the core discussion network remains stable or changes rapidly. Based on original, longitudinal, qualitative and quantitative data on the experience of first-year graduate students in three academic departments in a large university, we examine the stability of the core discussion network over the first 6 and 12 months in this new context. We test four competing hypotheses that focus on strength of ties, new opportunities, obligations, and routine activity and predict, respectively, stasis, expansion, shedding, and substitution. We find that the core discussion network changes remarkably quickly, with little or no lag, and that it appears to do so because both the obligations that people face and the routine activities they engage in are transformed by new institutional environments. Findings suggest that core discussion network may be less a “core” network than a highly contextual support network in which people are added and dropped as actors shift from environment to environment.     

Question-order effects in social network name generators

Social network surveys are an important tool for empirical research in a variety of fields, including the study of social capital and the evaluation of educational and social policy. A growing body of methodological research sheds light on the validity and reliability of social network survey data regarding a single relation, but much less attention has been paid to the measurement of multiplex networks and the validity of comparisons among criterion relations. In this paper, we identify ways that surveys designed to collect multiplex social network data might be vulnerable to question-order effects. We then test several hypotheses using a split-ballot experiment embedded in an online multiple name generator survey of teachers’ advice networks, collected for a study of complete networks. We conclude by discussing implications for the design of multiple name generator social network surveys.     

SOCIAL ISOLATION OF THE URBAN POOR:

We focus on the effects of race, class, and neighborhood on social isolation. Using data from households in Atlanta, Georgia, we compare poor and nonpoor African Americans to nonpoor whites on two types of social ties and the social resources inherent in those ties. We find that poverty has an important influence on the social resources available to African Americans in and outside of their household. Poor blacks are less likely than other blacks and nonpoor whites to live with another adult, to have even one person outside the household with whom they discuss important matters (a discussion partner), or to have a college-educated person in their discussion network. Higher neighborhood poverty reduces the size of the discussion network for whites and blacks and affects the probabilities of having any kind of social contacts. Important for the social isolation thesis is our finding that among African Americans, living in a very poor neighborhood increases social isolation and reduces access to social resources via one's network of close ties.     

No associative biases in the first name cued recall procedure for eliciting personal networks

One thousand five hundred twenty-five respondents from a representative sample of adult residents of the state of Florida (USA) participated in a telephone survey on personal networks (McCarty et al., 1995). McCarty et al. (1995) elicited samples of alters from respondents' personal network with a first name cued recall interview procedure. This paper reports an assessment of associative biases involved with this technique in a further evaluation of the representativeness of the alter samples elicited with this method. Associative biases would be present if successively recalled alters are more likely to know each other or belong to the same social context (e.g., work, family, school) than alters not recalled successively. Such biases, if present, could influence the characteristics, and thus the representativeness, of the set of alters elicited, such as the density of ties. Analyses indicate that there are no associative biases in the first name cued recall procedure. Future research should investigate the possibility of associative biases in other methods for eliciting personal networks.     

The Social Dimensions of Interpersonal Dispute Resolution: A Test of a General Theoretical Framework with Survey Data

Studies of social control most often focus on the deterrent effects of informal or formal social control mechanisms. In this study I draw on theory designed to explain variation in the form of social control itself. Arguing that most social control is exercised in the context of interpersonal disputes, I attempt to explain variation in the form of social control used to resolve disputes. The theoretical model posits that both the social reality of the conflict and the social location of the aggrieved party will condition the social control response. I test propositions drawn from this model with individual-level survey data on a sample of respondents from a metropolitan parish in the south central United States. The results for the empirical test of the theoretical model are mixed. I conclude with suggestions for future research.     

The Hidden 25 Percent: An Analysis of Nonresponse on the 1980 General Social Survey

Methods for estimating nonresponse bias are reviewed and severalmethods are tried on the 1980 GSS. The results indicate thatvarious estimating procedures are inappropriate and that eventhe more promising techniques can provide faulty estimates ofnonresponse bias. By its nature, nonresponse bias is very difficultto assess accurately and no simple, certain method exists.     

The Game of Contacts: Estimating the Social Visibility of Groups

Estimating the sizes of hard-to-count populations is a challenging and important problem that occurs frequently in social science, public health, and public policy. This problem is particularly pressing in HIV/AIDS research because estimates of the sizes of the most at-risk populations-illicit drug users, men who have sex with men, and sex workers-are needed for designing, evaluating, and funding programs to curb the spread of the disease. A promising new approach in this area is the network scale-up method, which uses information about the personal networks of respondents to make population size estimates. However, if the target population has low social visibility, as is likely to be the case in HIV/AIDS research, scale-up estimates will be too low. In this paper we develop a game-like activity that we call the game of contacts in order to estimate the social visibility of groups, and report results from a study of heavy drug users in Curitiba, Brazil (n = 294). The game produced estimates of social visibility that were consistent with qualitative expectations but of surprising magnitude. Further, a number of checks suggest that the data are high-quality. While motivated by the specific problem of population size estimation, our method could be used by researchers more broadly and adds to long-standing efforts to combine the richness of social network analysis with the power and scale of sample surveys.     

Do resources of network members help in help seeking? Social capital and health information search

Does social capital as resources of network members affect health information search? Analyzing data from the 2004 General Social Survey in the United States, this study measures two social capital indicators (average education of network members and proportion of network members with a high school degree or higher) using the name generator. Most results are consistent using those two indicators. Both indicators are positively associated with frequency of health information seeking and seekers’ frequency of use of two sources (friends or relatives and the Internet). Also average education of network members is positively associated with seekers’ diversity of used sources and frequency of consultation with medical professionals. But neither indicator is associated with seekers’ frequency of use of other four sources (health-related magazines or newsletters, general magazines, daily newspapers, and radio or television programs). The findings demonstrate the theoretical utility of social capital in the social dynamics of medical help-seeking.     

“Defriending” in a polarized age: Political and racial homophily and tie dissolution

Given increased political polarization and racial tension in the wake of the 2016 presidential election in the United States, this study examines dropped ties in personal networks at that time based on political and racial identities. We employed data from the 2015–2018 UCNets study (n = 1159), a longitudinal, representative data set of the San Francisco Bay Area. In late 2015 and early 2016 it generated personal network data via multiple name generators, eliciting alters whom respondents socialized with, confided in, received advice from, exchanged social support with, and found difficult. Using multilevel multinomial logit models, we then examined various reasons for tie dissolution immediately following the inauguration of Trump in early 2017. The results show that among young adults, politically dissimilar alters were more likely to be dropped due to disagreements. With respect to racial homophily, we found that interracial dyads were more likely to be dropped because of drifting apart or some other reason for both younger and older cohorts. Overall, there is some support for the notion that dropped ties due to political disagreements did occur immediately following the 2016 election, but the results highlight the continuing significance of race in personal networks.     

Ego-net diversity: Same- and cross-sex coworker ties

Negative binomial regression analysis is used to explore how characteristics of 1985 GSS respondents and their work environments contribute to the inclusion of female and male coworkers in their personal networks. Compared to women, men cited more same-sex and fewer cross-sex coworker ties. The results support a model of gender differences in workplace interaction that arise from differing social structural positions (e.g. occupational sex composition and prestige) as well as from individual dispositions.     

Social structure and support networks in Beijing and Hong Kong

This study examines personal support networks in Beijing and Hong Kong, based on survey data collected in 2000. It was found that these two Chinese cities, which share a common Confucian cultural heritage, are similar in many aspects of social support. The supportive roles of spouse or partner are prominent and diffuse. Other close relatives are more involved in instrumental than emotional support. Non-kin primary ties specialize in emotional support. Neither extended kin support nor institutional support is significant. Nonetheless, the two cities differ in certain aspects of social support, reflecting their differences in such macro social-structural forces as economic modernization, urbanization and the social organization of work. Compared to the Hong Kong Chinese, the Beijing Chinese are more likely to seek support from close kin or coworkers, but less likely to rely on institutional help. Sources of support in both cities are also affected by the micro social-structural positions people occupy, particularly marital status and household income. It is noted that about 10% of the respondents in both cities reported “no one” to turn to for support. Among the various types of support, emotional comfort is the most difficult to find.