Reconsidering work time: a multivariate longitudinal within-couple analysis

Dual-earner couples now work significantly more hours than in the past, but few couple-level studies examine whether work hours are linked to mental health and quality-of-life outcomes. In 2001, Jacobs and Gerson proposed that combined spouse work hours would better predict outcomes than would spouses’ individual work hours. Longitudinal data from a random sample of 211 dual-earner couples with children partially support this hypothesis. Our findings suggest that future research on dual-earner couples’ work hours should be couple-level and longitudinal, estimate both linear and non-linear relationships, and include multiple positive and negative outcomes as well as subjective indicators of the meaning of work hours.     

A longitudinal analysis of stress among incoming college freshmen

Objectives: The objectives of this study were to: (1) examine changes in stress during first semester among freshmen undergraduates and (2) identify predictors of stress (coping strategies, emotional states, and quality of sleep). Participants: One hundred ninety-seven freshmen students were recruited for a 10-week study during first quarter (October–December, 2015). Methods: Students completed weekly self-report surveys on stress, coping strategies, emotions, and quality of sleep. A generalized linear mixed model was used for analyses. Results: Stress was elevated during examinations periods. Women reported a greater stress level than men. Increased stress level was significantly associated with lower sleep quality and greater negative emotions (fear, anger). Exercise was an effective stress coping strategy, while other coping methods (Internet usage, meditation, and self-isolation) were associated with higher stress. Social media usage did not influence stress level. Conclusions: Future stress management programs for freshmen need to consider gender differences and may focus on sleep, exercise, and decreased general Internet usage.     

Persistency in the NEET state: a longitudinal analysis

This article addresses the NEET phenomenon in a longitudinal perspective, by examining the case of Italy, a country experiencing one of the highest and increasing NEET shares in the EU. We exploit the longitudinal sample of the 2008-2011 EU-SILC data, providing self-declared information on individuals’ educational and occupational status on a monthly basis for 4 years. Firstly, we propose a classification of individual histories in education, employment and the NEET states. According to our estimates, more than 40% of the Italian young people report being NEET for at least 13 months out of 48, and more than 10% for (almost) the entire period. Secondly, we examine the composition of the NEET groups and draw a long-term NEET risk profile for individuals from different sociodemographic groups. Thirdly, we examine the longitudinal histories by distinguishing between unemployment and inactivity spells. Our findings show that the NEET phenomenon among Italian young adults is largely an issue of unemployment. The only exception is represented by Italian older females with children, the majority of which portrays themselves as inactive. Still, a sizable portion of these women define themselves as being mainly ‘unemployed’ instead of ‘performing domestic tasks’, indicating an unsatisfied wish or need to work.     

The causes of union political involvement: A longitudinal analysis

This study examines the political involvement of unions over the 1978, 1980, and 1982 congressional elections. An empirical model focusing on the campaign contributions made by unions and the number of registered lobbyists employed by unions is elaborated and tested. The findings suggest that unions’ political activities are systematically undertaken and that they have increased dramatically over the past three elections. Specific characteristics of unions, such as membership size and dependence on governmental regulations, directly affect the political involvement of unions. Further, given the current economic and political climate, it is likely that this political action will continue to increase. The authors are grateful to Jack Fiorito, Cynthia Gramm, David Lewin, Frank Lichtenberg, two anonymous referees, and the participants in the labor seminars at the University of Illinois and the University of Iowa for helpful comments on an earlier version of this study.     

Placement stability for children in out-of-home care: a longitudinal analysis

This study examines the number of placement moves experienced over an eight-year period by 5,557 children in one state who first entered out-of-home care between birth and age six. This group comprised 28% of all young children who entered care during this period. Nearly 30% of children in kinship care and 52% of children in nonrelative care experienced placement instability (defined as three or more moves after the first year in care). Children in kinship care, regardless of age, had fewer placement moves than those in nonkinship care. A multivariate analysis found that children who had more than one placement move during their first year of care were more likely to experience placement instability in long-term out-of-home care than if they did not move or were moved only once during their first year in care.     

Political attitudes, social participation and social mobility: a longitudinal analysis

It is often suggested that the political attitudes and social participation which have underpinned the welfare-state democracies have depended on large amounts of upward social mobility. The demographic heterogeneity of the service class, according to this view, induced in them a willingness to lead a common political project seeking to establish a common social citizenship. As the amount of upward mobility stagnates or even begins to fall, it has then further been claimed that there might emerge a degree of ideological closure in the service class that might erode their commitment to civic values. The 1958 British birth cohort study is used to investigate this question. Longitudinal data are invaluable here because they allow us to distinguish between two hypotheses: that upward mobility as such has induced in the service class certain attitudes and propensities to participate, or that the more important influence is the early socialization through which upwardly mobile people went. The conclusion of the analysis is that, although the civic values of the service class have not depended on upward mobility, this is much more true of cognitively able people than of others, and so is dependent on the somewhat meritocratic basis of selection into the salariat.     

A longitudinal analysis of the distinction between for-profit and not-for-profit hospitals in America

Have changes in the hospital industry forced not-for-profit hospitals to become more like for-profit hospitals in measures of efficiency and community service? As a result, are not-for-profit hospitals moving away from their community service missions? In recent years researchers have asserted that the once-salient distinctions between not-for-profit and for-profit hospitals are quickly eroding and that this convergence threatens the community service that not-for-profit hospitals have historically provided. Neo-institutionalists explain that regulatory changes often force differing organization types to pursue similar strategies (Fligstein 1991, 1985; DiMaggio and Powell 1983). Guided by this theory, the present research analyzes if regulatory changes and the implementation of similar strategies result in not-for-profit and for-profit hospitals having similar efficiency and community service outcomes.     

Social network engineering and race in a police academy: A longitudinal analysis

This research examined an attempt to facilitate racial integration by populating squads (i.e., workgroups) in a police academy with mixes of recruits that reflected the racial demographics of the larger cohort. This was part of the social infrastructure of the academy. Additionally, a fixed seating arrangement was considered as a second element of academy infrastructure capable of impacting racial integration. We examined the consequences of these academy components over time with regard to race by combining ethnographic accounts with social network data collected throughout the academy and using a variety of network analytic tools. These consequences with regard to race were examined as a part of social network evolution. The academy's social arrangements did accelerate the creation of social knowledge of recruits about each other and the formation of friendship ties both within and between races. However, our results point to clear limitations to such infrastructural engineering and have implications for both recruitment to police academies and dealing with race. They shed light also on processes of homophily and group composition over time and have implications for studying social networks.     

Changing times: Migrants’ social network analysis and the challenges of longitudinal research

Focusing on migrant social networks, this paper draws upon the sociology of time to incorporate complex notions of temporality into the research process. In so doing, we consider firstly, the challenge of going ‘beyond the snapshot’ in data collection to capture dynamism through time. Secondly, we apply the concepts of timescapes to explore ways of addressing the wider context and the interplay between spatiality, temporality and relationality in migration research. We argue that integrating a mixed methods approach to SNA, crucially including visualisation, can provide a useful methodological and analytical framework to understand dynamics.SNA can also be helpful in bridging the personal and structural dimensions in migration research, by providing a meso level of analysis. However, it is also important to connect the investigation of local and transnational networks with an analysis of the broader social, economic and political contexts in which these take shape; in other words, connecting the micro and the meso with the wider macro level. Drawing upon reflections from our migration research studies, we argue that different combinations of quantitative, qualitative and visual methods do not just provide richer sets of data and insights, but can allow us to better connect conceptualisations – and ontologies – of social networks with specific methodological frameworks.     

Mental health, social relations, and social selection: a longitudinal analysis.

A wide body of literature documents the effect of social networks and social supports on mental health. Fewer studies, however, have examined the reciprocal effect of mental health on social relationships. This problem is examined using data from a national panel survey of adults aged 20-64. For the sample as a whole, support was found for a social selection process, since psychological distress predicted decreases in primary, but not secondary, social relationships. The extent of primary relationships also were found to be associated with subsequent distress, providing evidence that the relationship between mental health and social environment may be transactional. When examined separately by gender, males but not females were found to be vulnerable to the process of social selection, supporting the hypothesis that the expression of distress is less role-appropriate for men and therefore more likely to invite social sanctions. Social causation effects also were observed only among males.     

Disability analysis of longitudinal health data: Policy implications for social security disability insurance

The relationship between impairment, disability, and labor force participation is investigated longitudinally through disability determinations using objective medical evaluations. The sensitivity and specificity concepts are used to study the disability determination standards and their ability to predict capacity to work. Approximately one of every eight men in the study had a physical impairment that met or equaled the medical listings of impairment sometime through age 65; for the women the figure was slightly less than one-half that size. Many of these people were seriously ill; within four years of the disabling condition being established, about two of every five people were dead, suggesting the listings of impairment are indeed sensitive to serious health problems. The majority of the men who did meet or equal the medical listings of impairment were alive four years after the disabling condition was determined, and most of these survivors were in the labor force despite the disabling impairment. The study shows that withdrawal from the labor force is based on age in combination with any level of impairment; and the disabled are a unique subset of the impaired, distinguishable not by health but demographic and socioeconomic characteristics.     

Linking worker-parent working alliance to parent progress in child welfare: A longitudinal analysis

Using a national data set of child welfare cases, we asked how parent progress in a case plan was related to four factors: collaborative engagement, child welfare history, parent characteristics, and social worker characteristics. Our secondary analysis employed a sample extracted from nationally representative longitudinal records of 3185 children and their parents. Results of generalized least squares random-effects modeling showed that parent progress was associated positively with five specific variables: collaborative engagement, maintenance of effective working relationship, parent receipt of assistance in achieving goals, parent satisfaction with collaborative engagement, parent Hispanic ethnicity, and child welfare worker with MSW or degree in other major. Associated negatively with parent progress were parent receipt of assistance with obtaining needed services, out-of-home placement, multiple problems, and family income. Practice implications are discussed.     

The health demographic profile system: current and longitudinal data base for social area analysis

The development of the Health Demographic Profile System, which is based on the 1980 census, is described. The system includes social and economic indicators designed to identify high risk target populations, in terms of mental health and general health service needs, as well as to describe the social and economic structure of both mental health service and other small geographic areas. The report describes: (1) the original system, that is, the Mental Health Demographic Profile System (MHDPS), which is based on the 1970 census, including details of the approach and content, (2) the 1980 provisional indicators and planned products, (3) plans for the development of a longitudinal system based on 1960, 1970, and 1980 data, and (4) current and future studies related to the 1980 Health Demographic Profile System.     

Uncovering the role of emotional abilities in leadership emergence. A longitudinal analysis of leadership networks

The aim of this paper is to investigate how different emotional abilities affect the emergence of task and relationship leaders in a group of 41 students. To conduct this investigation, leadership is envisioned as a dynamic network of leadership perceptions. The emergence of leadership and the role played by emotional abilities in this process are analyzed using Stochastic Actor Oriented Models (SAOMs). The results suggest that emotional abilities play complementary roles in emergent leadership. Whereas the abilities to perceive and manage emotions facilitate the emergence of relationship leaders, the abilities to use and understand them facilitate the emergence of task leaders.     

What's so different about differential response? A multilevel and longitudinal analysis of child neglect investigations

Differential response (DR) is a system reform that allows child protective services (CPS) agencies to divert low-to-moderate risk families from an investigative track to an alternate track that does not require a maltreatment disposition or identification of an alleged perpetrator. Knowledge of how DR alters the flow of cases through CPS systems has been restricted by methodological limitations in prior research. This study uses cross-sectional and longitudinal data from the National Child Abuse and Neglect Data System (NCANDS) child file to examine the extent to which DR implementation affects the number and demographic composition of cases investigated for neglect. Results from multivariate, multilevel cross-sectional analysis of 2010 data indicated that investigations were 2.4 times more likely to be substantiated in DR counties than in non-DR counties. Children with a previous substantiated report were also more likely to have a current report substantiated and this difference was significantly greater in DR counties than in non-DR counties. Child race and ethnicity did not predict substantiation decisions. Results from a mixed-effect longitudinal analysis of 997,512 cases from 269 counties between 2001 and 2010 suggest that the rate of investigations fell sharply nationwide within three years of DR implementation. However, substantiation rates did not change as a result of DR implementation. Instead, analysis indicated differences between DR and non-DR counties emerged before the launch of DR. The findings highlight the benefit of using “big data” and longitudinal analysis to assess large-scale policy changes.