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.     

The content of the General Social Survey discussion networks: an exploration of General Social Survey discussion name generator in a Chinese context

This study focuses on the discussion network name generator used in the 1985 General Social Survey (GSS). Based on the data from a Chinese survey, it explores the content of the discussion networks by examining the overlapping of names generated by the GSS discussion name generator and the exchange name generators. It finds that the GSS discussion question has generated a range of social ties, which accounts for an important part of a Chinese personal network. Specifically, the people with whom the Chinese respondents discussed important matters are also likely to spend leisure time with the respondents and to be the confidants for personal matters. Some of them are expected to offer substantial help or to possess important social resources; however, they are least involved in what are considered family affairs.     

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.     

All kinds of potential: Women and out-migration in an Atlantic Canadian coastal community

Rural researchers have found that women leave rural communities at a higher rate than men. Rural education researchers have also found that young women are significantly more successful in formal education than their male counterparts. Few studies though attempt to explain why this is so. This work presents data and analysis from two studies of education and out-migration from a rural-coastal community in Nova Scotia Canada. The questions I investigate in this session are: (1) why are women more likely to leave rural communities? (2) how have contemporary change forces like globalization and network society influenced the gender balance regarding rural out-migration? and (3) how has young rural women's relative success in formal education related to their higher rates of out-migration? Given the recent concern about boy's education, I raise some critical questions about the parallel notion that girls are doing just fine.     

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).     

Name generation in interpersonal political network data: Results from a series of experiments

We present results from three large scale survey experiments focused on the manipulation of political name generators. Using syntax that is widely employed outside of political science, we generate interpersonal political network data by varying the roles of alters, the time horizons of relationships, and the specific political nature of social exchanges. Across varying samples and electoral environments, we look for differences in these conditions on a wide range of common interpersonal network items, assess latency data on these treatments, and employ more detailed information on named discussants than most existing political ego-centric studies. We evaluate how well the now standard “compound” political name generator captures interpersonal political networks, finding that it does quite well save a few items of significant political importance. We discuss the implications of this research agenda for theories of social influence and the study of disagreement in democratic politics.     

A PARTIAL INDEPENDENCE ITEM RESPONSE MODEL FOR SURVEYS WITH FILTER QUESTIONS

In many surveys, responses to earlier questions determine whether later questions are asked. The probability of an affirmative response to a given item is therefore nonzero only if the participant responded affirmatively to some set of logically prior items, known as "filter items." In such surveys, the usual conditional independence assumption of standard item response models fails. A weaker "partial independence" assumption may hold, however, if an individual's responses to different items are independent conditional on the item parameters, the individual's latent trait, and the participant's affirmative responses to each of a set of filter items. In this paper, we propose an item response model for such "partially independent" item response data. We model such item response patterns as a function of a person-specific latent trait and a set of item parameters. Our model can be seen as a generalized hybrid of a discrete-time hazard model and a Rasch model. The proposed procedure yields estimates of (1) person-specific, interval-scale measures of a latent trait (or traits), along with person-specific standard errors of measurement; (2) conditional and marginal item severities for each item in a protocol; (3) person-specific conditional and marginal probabilities of an affirmative response to each item in a protocol; and (4) item information and total survey information. In addition, we show here how to investigate and test alternative conceptions of the dimensionality of the latent trait(s) being measured. Finally, we compare our procedure with a simpler alternative approach to summarizing data of this type.     

A Theory of Marital Sexual Life

Why does the frequency of marital sex decrease with marital duration? Does the probability of involvement in extramarital sex increase or decrease with marital duration, and why? I develop a theory to answer these questions. I apply the law of diminishing marginal utility and human capital theory to explain the basic observed decline in the frequency of marital sex with marital duration. Based on the above explanation, I develop a discussion on the relationship between marital duration and extramarital sex, and I derive two hypotheses, which are supported by statistical analyses of the National Health and Social Life Survey data.     

Collecting peer data and delineating peer networks in a complete network

This paper outlines a method for collecting accurate ‘peer’ data by using two name generator and 13 name interpreter questions to collect ‘friend’ and ‘pal’ data from teenagers. The ‘peer’ data are then used to identify the complete network and to delineate the naturally existing peer networks in it. The findings suggest that the concept ‘friend’ should not be avoided when collecting ‘friend’ data.     

Does the online collection of ego-centered network data reduce data quality? An experimental comparison

We analyze whether differences in kind and quality of ego-centered network data are related to whether the data are collected online or offline. We report the results of two studies. In the first study respondents could choose between filling out ego-centered data through a web questionnaire and being probed about their network in a personalized interview. The second study used a design in which respondents were allocated at random to either online or offline data collection. Our results show that the data quality suffers from the online data collection and the findings indicate that this is the consequence of the respondents answering “mechanically”. We conclude that network researchers should avoid to simply copy traditional network items into a web questionnaire. More research is needed about how new design elements specific for web questionnaires can motivate respondents to fill out network questions properly.     

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.     

Stimulated Recall Interviews in Ethnography

This article describes the use of stimulated recall interviews as a technique for investigating how people approach interactions in a number of different situations. In general, the technique I describe involves interviewing individuals by playing them audio or audiovisual recordings of their own behavior in social situations and discussing different aspects of those recorded interactions. Doing so can help us to understand what signals interactants understand as important, what signals they try to convey to others, and how they choose from various options to act upon the information they receive in interactions. Using the example of jazz jam sessions, I ask why it is that interactions can sometimes go smoothly and uneventfully, or sometimes break down completely. The stimulated recall interviews provide a valuable tool in helping the ethnographer to answer these kinds of questions.     

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 theory of recovery

1. Mental illness generally involves a loss of self--the meaning and purpose that once defined life are gone. 2. People respond to loss of self by asking "why." 3. Whether or not people find answers to "why" questions, they need to move on to asking, "How do I proceed?" 4. Action based on answers to "how" questions provides new meaning and purpose.     

How many names are enough? Identifying network effects with the least set of listed contacts

How many names are enough to reveal network effects using a name generator for network analysis? We analyze network data from two large organizations varying in complexity. We ask how much the network association with achievement is strengthened by adding another name to the recorded list of each person's sociometric citations. We conclude that five names is the cost effective number of sociometric citations to record. The network association with achievement weakens quickly with fewer names, especially in the more clustered network.     

Effects on reliability and validity of egocentered network measurements

This paper examines the reliability and validity of egocentered networks. Reliability and validity are estimated by the multitrait-multimethod (MTMM) approach. A split ballot MTMM design [Saris, W.E., 1999. Forced choice or agree/disagree questions? An evaluation by the split ballot MTMM experiment. In: Proceeding of the Meeting of the IRMCS, pp. 122–146; Kogovšek, T., Ferligoj, A., Coenders, G. Saris, W. E., 2002. Estimating the reliability and validity of personal support measures: full information ml estimation with planned incomplete data. Social Networks 24, 1–20] is used, in which separate groups of respondents received different combinations of two methods. The effect of factors such as the methods used and the personal characteristics of respondents that can affect the quality of data was estimated by a meta analysis.Measurement method, type of question, network size, age, gender, extraversion and emotional stability all had statistically significant effects on the validity of measurement. After the list of alters is obtained with name generators, name interpreter questions can be asked in two ways. One way (“by alters”) is to take each alter individually and to ask all the questions about him/her, going alter by alter until the end of the list of alters. The other way (“by questions”) is to take the question and ask this question for all alters on the list, going question by question until the end of the list of name interpreter questions. Telephone interviewing (both by alters and by questions) gave more valid measurements than face-to-face interviews.Behavioral questions were more valid than questions with emotional content. The characteristics of ties were more validly measured in smaller networks. With reference to respondents’ personal characteristics younger respondents, men, extraverted and emotionally stable respondents all had more valid measurements. Reliability was significantly affected by the measurement method, the type of question and age. The telephone/by alters method was the most reliable measurement method. Behavioral questions were more reliable than questions with emotional content. Measurements among younger respondents were also more reliable.     

Age and anger.

Are older people less angry? I propose that age differences in roles, personal and social circumstances, the sense of control, health, and socio-emotional outlook explain the association. I use data from a 1981 representative sample of 951 physically disabled individuals from Southwestern Ontario, Canada and a 1996 national probability sample of 1,450 U.S. respondents--the General Social Survey (GSS). Both surveys show a negative association between age and anger. In the Ontario sample older people are more likely to occupy widowhood and retirement roles, live with fewer people, have less interpersonal estrangement, and have fewer life events; these characteristics explain their lower anger. Also, were it not for their lower control and worse health older people in the Ontario sample would report even lower anger. In the GSS sample, age differences in household composition, satisfaction with family life and financial circumstances, perceived time pressures in daily life, religious involvement, and socio-emotional outlook contribute to the lower anger among older adults. Collectively, my findings show that the psychosocial and structural environment--experienced differently by age--influences the risk of anger.     

Theoretical Perspectives on the School-to-Work Transition: Reactions and Recommendations

Although extant career theories provide important conceptual insights into the content and process of the school-to-work transition, they have not addressed 2 questions that need to be considered in future theoretical and research agendas. These questions, which are addressed in this article, are (a) why are career theories not developed to account for the school-to-work process? and (b) are the career theories proposed here complete in their explanation of the school-to-work process?