Becoming institutional bodies: Socialization into a long-term care home

This paper reports the findings from a phenomenological study examining the lived experience of moving to a long-term care facility and the process of socialization for new residents into the nursing home culture and environment. Three residents were followed over the first six months after moving to a long-term care facility using a series of in depth interviews and participant observation with residents themselves, staff members and family members. This paper focuses on the five institutional level processes related to socialization into the long-term care environment as they were experienced by the new residents. These included: placing the body, defining the body, focusing on the body, managing the body, and relating to the body. The findings point to the importance of place in the construction of institutional bodies in the long-term care context.     

An Application of Bayesian Methods to Small Area Poverty Rate Estimates

Efforts to estimate various sociodemographic variables in small geographic areas are proving difficult with the replacement of the Census long-form with the American Community Survey (ACS). Researchers interested in subnational demographic processes have previously relied on Census 2000 long-form data products in order to answer research questions. ACS data products promise to begin providing up-to-date profiles of the nation’s population and economy; however, unit- and item-level nonresponse in the ACS have left researchers with gaps in subnational coverage resulting in unstable and unreliable estimates for basic demographic measures. Borrowing information from neighboring areas and across time with a spatiotemporal smoothing process based on Bayesian statistical methods, it is possible to generate more stable and accurate estimates of rates for geographic areas not represented in the ACS. This research evaluates this spatiotemporal smoothing process in its ability to derive estimates of poverty rates at the county level for the contiguous United States. These estimates are then compared to more traditional estimates produced by the US Census Bureau, and comparisons between the two methods of estimation are carried out to evaluate the practical application of this smoothing method. Our findings suggest that by using available data from the ACS only, we are able to recreate temporal and spatial patterns of poverty in US counties even in years where data are sparse. Results show that the Bayesian methodology strongly agrees with the estimates produced by the SAIPE program, even in years with little data. This methodology can be expanded to other demographic and socioeconomic data with ease.     

High School Dropouts After They Exit School: Challenges and Directions for Sociological Research

Sociological research on high school dropouts is largely concerned with who drops out of school and why. Research on the consequences of dropping out is less common. There are clear theoretical reasons to expect dropping out to have a direct and negative effect on life outcomes; however, empirically evaluating these theories is difficult because students who drop out are different from high school graduates in meaningful and complex ways. In this article, I first provide a brief review of sociological research on high school dropouts, emphasizing the demographics of dropouts and reasons for dropping out. I then discuss the possible role of human capital differences, signaling theory, and social closure in creating worse outcomes for high school dropouts and outline the empirical challenges to researching the effects of dropping out. I conclude by discussing avenues for future research and important unanswered questions about the consequences of dropping out.     

Risk factors for femicide-suicide in abusive relationships: results from a multisite case control study

The killing of women by men who then take their own lives (femicide-suicide) is the most common form of homicide-suicide. This study identified femicide-suicide risk factors in an 11-city case-control study of femicide in the United States. Perpetrator, victim, relationship, and incident characteristics were analyzed for femicide-suicide cases (n = 67) and controls (n = 356, women living in the community with nonfatal physical abuse) using logistic regression modeling. Two risk factors emerged that were unique to femicide-suicides cases compared to overall femicide risk analyses: prior perpetrator suicide threats and victims having ever been married to the perpetrator.     

The impact of blatant stereotype activation and group sex-composition on female leaders

The individual and combined impact of blatant stereotype activation and solo status or mixed-sex groups on the self-appraisals, performance, and anxiety of female leaders was examined across three laboratory studies. The first study utilized a two-condition, two-stage design in which female leaders were exposed to a blatant stereotype threat or control condition after which they completed a leadership task. In the second stage, the threatened leaders received a solo status manipulation (leading a group of men) while the control condition did not. In the second study a 2 (blatant threat, no blatant threat) by 2 (solo status, all-female group) fully factorial design was used to test the hypotheses. Finally, in Study 3, a similar factorial design was used with a mixed-sex, rather than solo, condition. Across the studies it was hypothesized and found that receiving a single stereotype threat would result in a positive, stereotype reactance, response. However, when both threats were combined a stereotype vulnerability response was elicited, as expected. Theoretical and practical implications are discussed.     

Are Self‐Service Customers Satisfied or Stuck?

This paper investigates the impact of self‐service technology (SST) usage on customer satisfaction and retention. Specifically, we disentangle the distinct effects of satisfaction and switching costs as drivers of retention among self‐service customers. Our empirical analysis examines 26,924 multi‐channel customers of a nationwide retail bank. We track each customer's channel usage, overall satisfaction, and retention over a 1‐year period. We find that, relative to face‐to‐face service, customers who use self‐service channels for a greater proportion of their transactions are either no more satisfied, or less satisfied with the service they receive, depending on the channel. However, we also find that these same customers are predictably less likely to defect to a competitor if they are heavily reliant on self‐service channels characterized by high switching costs. Through a mediation model, we demonstrate that, when self‐service usage promotes retention, it does so in a way that is consistent with switching costs. As a robustness check, we examine the behavior of channel enthusiasts, who concentrate transactions among specific channels. Relative to more diversified customers, we find that self‐service enthusiasts in low switching cost channels defect with greater frequency, while self‐service enthusiasts in high switching cost channels are retained with greater frequency.