Culture,Context, or Religion: What Really Gets Single Mothers down the Aisle

Abstract

This article examines whether the relationship between religious participation and marriage behaviors for low-income single mothers is influenced by social norms and structural factors that promote the formation of traditional families. Specifically, we test whether religious participation encourages marriage generally or whether a specific type of marriage is encouraged (e.g., marriage to the baby's biological father). Using data from the Fragile Families and Child Wellbeing Study (N = 1,491), we examine the likelihood that religious participation increases marriage in single mothers. We find that the likelihood of marriage within four years after an unwed birth is not only related to church attendance but that the influence of church attendance seems to encourage the creation of biological families rather than simply two-parent households. Further, religious participation differentially influences the likelihood of marriage and a marriage partner based upon the mother's race and employment history. These findings highlight the importance of social context when analyzing marriage behaviors in single mothers.     

Critical phenomena in complex contagions

Why do some contagions “go viral” and others do not? Research on “small world” networks (Watts and Strogatz, 1998) shows how a very small number of long-range ties that bridge between clusters can allow contagions to spread almost as rapidly as on a random network of equal density. Recent research shows how long-range ties that accelerate the spread of information and disease can impede the spread of complex contagions—behaviors, beliefs and preferences that diffuse via contact with multiple adopters ( Centola and Macy, 2007). In confirming this result analytically and extending the analysis from small world to power law networks, we discovered that complex contagions require a critical mass of infected nodes that corresponds to a phase transition in the ability of the contagion to take advantage of the “shortcuts” created by long-range ties. We demonstrate how this critical mass is related to the dynamics of the contagion process and identify implications for modeling behaviors that spread via social influence, such as viral marketing and social movements.     

The Impact of Religiosity on Health Behaviors and Obesity among African Americans

Religion has been associated with good physical health and may represent a protective factor against overweight and obesity. This study explored dimensions of religiosity associated with health behaviors—eating habits and physical activity—and obesity in the African American population. Data from the National Longitudinal Study of Adolescent Health were analyzed for 3,620 African American adults ages 28 to 34. A structural equation model (path model) revealed that high levels of church attendance combined with religious practice encouraged healthy eating habits. However, increasing time spent in prayer while making religion more important in life was associated with poor eating habits. More frequent church attendance and prayer were implicated in heightened levels of obesity, suggesting that various dimensions of religiosity were constructed differently with health behaviors and obesity.     

Diffusion of innovations through social networks: Determinants and implications

Social scientists have long been interested in the diffusion of innovations—the process by which new ideas, behavior, and practices spread between persons, organizations, and even countries. While innovations can enter a community through various channels, ongoing spread of innovations through a community occurs through the medium of social networks—collections of interpersonal or digital relationships connecting actors to each other. Social networks are important for diffusion because relationships foster communication, trust, and flow of information. Diffusion outcomes are also shaped by the structural properties of social networks such as density, centrality, and strength of ties, as well as properties of the innovation and the actors involved in the process. The purpose of the article is twofold: (1) to take stock of the field and review ongoing debates on the role of social networks in the diffusion of innovations and (2) to summarize the sociological implications of the diffusion of innovations through social networks.     

Who Protests in America: An Analysis of Three Political Alternatives—Inaction,Institutionalized Politics,or Protest

Theories of social movements and collective action typically present social protest as one of three alternatives available to the individual: inaction, institutionalized political action, or protest. These political alternatives are rarely considered simultaneously nor are they modeled explicitly. In this paper we make use of survey data from a representative sample of the United States population. We employ multinomial logistic regression to determine what differentiates those who protest from those who engage only in institutionalized politics and from those who engage in no political action. We find that those who engage in social protest are similar in many respects to those who engage actively in institutionalized politics, yet education on social and political issues, participation in community organizations, and frequent church attendance increases the likelihood that individuals will engage in protest relative to institutionalized politics.     

The Correlates of Religiosity Among Black and White Americans*

This paper explores the correlates of religiosity among blacks and whites, asking two questions: (1) Is the relationship between SES and religious attendance the same for both races? (2) What factors best predict church attendance among both races? The findings show that (1) SES is positively related to religious participation among whites; (2) the best non-religious predictors of attendance across all denominations and churches studied are SES and age; (3) including a measure of religious belief greatly increases the explanatory power of a predictive model; but (4) the relationship between SES and attendance varies by denomination and church among blacks.     

SIMULTANEOUS DETERMINATION OF CHURCH CONTRIBUTIONS AND CHURCH ATTENDANCE

In a standard model of household allocation of time and income, church attendance and church contributions are determined simultaneously. There are life-cycle aspects to both attendance and contributions, as Azzi and Ehrenberg (1975) and Ehrenberg (1977) have argued, and contributions behavior is affected by tax treatment and by a potential free-rider problem as well. This paper motivates an econometric specification which recognizes these features and estimates the parameters with a data set of over 2000 Protestant church members.     

Social network thresholds in the diffusion of innovations

Threshold models have been postulated as one explanation for the success or failure of collective action and the diffusion of innovations. The present paper creates a social network threshold model of the diffusion of innovations based on the Ryan and Gross (1943) adopter categories: (1) early adopters; (2) early majority; (3) late majority; (4) laggards. This new model uses social networks as a basis for adopter categorization, instead of solely relying on the system-level analysis used previously. The present paper argues that these four adopter categories can be created either with respect to the entire social system, or with respect to an individual's personal network. This dual typology is used to analyze three diffusion datasets to show how external influence and opinion leadership channel the diffusion of innovations. Network thresholds can be used (1) to vary the definition of behavioral contagion, (2) to predict the pattern of diffusion of innovations, and (3) to identify opinion leaders and followers in order to understand the two-step flow hypothesis better.     

Where do they turn? Social support systems of suicidal high school adolescents

Adolescents reporting suicidal behavior were found to be significantly different from those who were not nonsuicidal in their responses to variables related to parents' marital status, school performance and attendance, someone to talk to, and church attendance. Adolescents overwhelmingly identified their parents' demonstrations of affection as a very important way to "make a difference" to decrease suicidal behaviors. Health professionals need to note that approximately 1 in 3 girls and 1 in 4 boys reporting self-hurt behaviors may attempt suicide.     

Affinity Paths and information diffusion in social networks

Widespread interest in the diffusion of information through social networks has produced a large number of Social Dynamics models. A majority of them use theoretical hypothesis to explain their diffusion mechanisms while the few empirically based ones average out their measures over many messages of different contents. Our empirical research tracking the step-by-step email propagation of an invariable viral marketing message delves into the content impact and has discovered new and striking features. The topology and dynamics of the propagation cascades display patterns not inherited from the email networks carrying the message. Their disconnected, low transitivity, tree-like cascades present positive correlation between their nodes probability to forward the message and the average number of neighbors they target and show increased participants’ involvement as the propagation paths length grows. Such patterns not described before, nor replicated by any of the existing models of information diffusion, can be explained if participants make their pass-along decisions based uniquely on local knowledge of their network neighbors affinity with the message content. We prove the plausibility of such mechanism through a stylized, agent-based model that replicates the Affinity Paths observed in real information diffusion cascades.     

Wie ver?ndert sich die Religiosit?t im Lebensverlauf?

Using data from the German Socio-Economic Panel and fixed-effects regression models, this paper examines church attendance rates across the life course. For 1992?C2007, the overall frequency of churchgoing shows a slight decrease (secularization). This period effect is continuously thwarted by a positive age effect. However, this positive age effect becomes weaker over the recent years which also might be interpreted as a kind of secularization. In-depth analyses show that, in West Germany, the age-specific increase of church attendance rates is paralleled by gradual increases in the frequency of churchgoing after transition into first marriage, when children reach school-age and after the transition to widowhood. However, reaching a higher educational level and an increase in labor market participation, as well as a first divorce (in West Germany) and the transition into a non-marital cohabitation (in East Germany) contribute to a decrease of religious participation.     

An Assessment of the Determinants of Religious Participation*

Variations in patterns of church attendance are examined for a 1974 national sample of American Protestants and Catholics. Contrary to past results, socioeconomic status and alienation contribute little, but sociodemographic variables contribute more to the explained variance in church attendance. Region and sex affect church attendance more than education, occupation, or income. Religiosity and confidence in the clergy are the most important determinants of church attendance and together account for half of the total variance explained in church attendance.     

School contextual factors and race differences in adolescent sexual behaviors

Abstract

Although there exist a voluminous number of studies examining predictors of adolescent sexual behavior, few studies have explored the role of the school social context in influencing teen sexual activity generally and specifically, the role that school contextual factors play in helping understand race differences in risky sexual behaviors. Using data from a nationally representative school-based survey of American youth in Grades 7–12, we find support for our core hypothesis that school contextual factors are associated with risky sexual behavior, number of sexual partners, and ever having sex, albeit it nuanced ways and that such factors cannot account for much of the race gap in adolescent sexual behavior. We interpret these findings to be more supportive of a social contagion model (versus a school climate model).     

A New Model for Information Diffusion in Heterogeneous Social Networks

This paper discusses a new model for the diffusion of information through heterogeneous social networks. In earlier models, when information was given by one actor to another the transmitter did not retain the information. The new model is an improvement on earlier ones because it allows a transmitter of information to retain that information after telling it to somebody else. Consequently, the new model allows more actors to have information during the information diffusion process. The model provides predictions of diffusion times in a given network at the global, dyadic, and individual levels. This leads to straightforward generalizations of network measures, such as closeness centrality and betweenness centrality, for research problems that focus on the efficiency of information transfer in a network. We analyze in detail how information diffusion times and centrality measures depend on a series of network measures, such as degrees and bridges. One important finding is that predictions about the time actors need to spread information in the network differ considerably between the new and old models, while the predictions about the time needed to receive information hardly differ. Finally, some cautionary remarks are made about using the model in empirical research.     

Variation in the Relationship Between Education and Marriage: Marriage Market Mismatch?

Educational expansion has led to greater diversity in the social backgrounds of college students. We ask how schooling interacts with this diversity to influence marriage formation among men and women. Relying on data from the 1979 National Longitudinal Survey of Youth (N = 3208), we use a propensity score approach to group men and women into social strata and multilevel event history models to test differences in the effects of college attendance across strata. We find a statistically significant, positive trend in the effects of college attendance across strata, with the largest effects of college on first marriage among the more advantaged and the smallest-indeed, negative-effects among the least advantaged men and women. These findings appear consistent with a mismatch in the marriage market between individuals' education and their social backgrounds.     

Advances in Exponential Random Graph (p*) Models Applied to a Large Social Network

Recent advances in statistical network analysis based on the family of exponential random graph (ERG) models have greatly improved our ability to conduct inference on dependence in large social networks (Snijders 2002, Pattison and Robins 2002, Handcock 2002, Handcock 2003, Snijders et al. 2006, Hunter et al. 2005, Goodreau et al. 2005, previous papers this issue). This paper applies advances in both model parameterizations and computational algorithms to an examination of the structure observed in an adolescent friendship network of 1,681 actors from the National Longitudinal Study of Adolescent Health (AddHealth). ERG models of social network structure are fit using the R package statnet, and their adequacy assessed through comparison of model predictions with the observed data for higher-order network statistics.For this friendship network, the commonly used model of Markov dependence leads to the problems of degeneracy discussed by Handcock (2002, 2003). On the other hand, model parameterizations introduced by Snijders et al (2006) and Hunter and Handcock (2006) avoid degeneracy and provide reasonable fit to the data. Degree-only models did a poor job of capturing observed network structure; those that did best included terms both for heterogeneous mixing on exogenous attributes (grade and self-reported race) as well as endogenous clustering. Networks simulated from this model were largely consistent with the observed network on multiple higher-order network statistics, including the number of triangles, the size of the largest component, the overall reachability, the distribution of geodesic distances, the degree distribution, and the shared partner distribution. The ability to fit such models to large datasets and to make inference about the underling processes generating the network represents a major advance in the field of statistical network analysis.     

Social Engagement and Immigration Attitudes: Panel Survey Evidence from Germany

This article asks how social engagement influences individuals' immigration concerns. Rates of volunteering, churchgoing, socializing, and helping others are used to predict anti‐immigration sentiments. Panel survey data from Germany makes a dynamic “conditional change” modeling strategy possible; lagged immigration views are included in models to reveal the predictors of over time developments. The most robust findings signal that frequent church attendance reduces immigration concerns; routinely helping others enhances them. And in both instances, these relationships are conditioned by the presence of immigrants in the residential area. Overall, the results position social participation in certain activities as important factors that shape people's views on immigration.     

Regional Religions?: Extending the “Semi-involuntary” Thesis of African-American Religious Participation

This research examines religious affiliation and church attendance among African-Americans in three different regions of the United States to evaluate the thesis that the Black church represents a semi-involuntary institution shaped by historical dynamics of segregation in the rural South. We extend the analyses of others who have found the rural South to have distinctive church participation patterns by examining two nationally representative data sets (the 1972–1996 General Social Surveys and the 1984 National Alcohol Study). We explore both level and type of church attendance of African-Americans, and how patterns differ by region. Further, we refine prior analyses by (1) differentiating between members of historically White and conservative churches from those in the black mainline, (2) examining racial segregation, and (3) focusing on the type of church attendance (rather than just overall level). Ordinary Least Squares (OLS) and logistic regression models support the thesis that the rural South exhibits some distinctive patterns that make the semi-involuntary institution notion a useful concept, although patterns not predicted by the thesis are also found. The semi-involuntary thesis is also used to illuminate some church attendance patterns observed outside the rural South.     

Evaluation of strategies to mitigate contagion spread using social network characteristics

Computer simulation is an effective tool for assessing mitigation strategies, with recent trends concentrating on agent-based techniques. These methods require high computational efforts in order to simulate enough scenarios for statistical significance. The population individuals and their contacts determined by agent-based simulations form a social network. For some network structures it is possible to gain high accuracy estimates of contagion spread based on the connection structure of the network, an idea that is utilized in this work. A representative social network constructed from the 2006 census of the Greater Toronto Area (Ontario, Canada) of 5 million individuals in 1.8 million households is used to demonstrate the efficacy of our approach. We examine the effects of six mitigation strategies with respect to their ability to contain disease spread as indicated by pre- and post-vaccination reproduction numbers, mean local clustering coefficients and degree distributions. One outcome of the analysis provides evidence supporting the design of mitigation strategies that aim to fragment the population into similarly sized components. While our analysis is framed in the context of pandemic disease spread, the approach is applicable to any contagion such as computer viruses, rumours, social trends, and so on.