A case study of physical activity among older adults in rural Newfoundland, Canada

The purpose of this study was to assess rural older adults' perceptions of leisure-time physical activity and examine these perceptions from a historical perspective. Semistructured interviews were conducted with 10 inhabitants (mean age 82 years) of Fogo Island, Newfoundland and Labrador, Canada. Interviews were transcribed verbatim and subjected to inductive analysis. Member-checking interviews were conducted with 5 participants. Findings indicated that beginning in childhood, participants were socialized into a subculture of work activity. As a result of these historical and social forces, leisure-time physical activity did not form part of the participants' lives after retirement. Strategies for successful aging involved keeping busy, but this "busyness" did not include leisure-time physical activity. Results demonstrated the importance of developing a broader understanding of how past and present-day contexts can influence participation in leisure-time physical activity.     

Why parents matter: exploring the impact of a hegemonic concern with the timetable for the child

In a climate of austerity, timescales and targets, this paper probes whether parents matter sufficiently within the current child protection system in England. Evidence suggests that achieving partnership working in the context of child protection has become increasingly illusive, particularly when parents are notified that the local authority is considering compulsory intervention to remove their children under the Children Act 1989. Recent changes to legislation, policy and practice ushered in with the aim of achieving earlier decisions within the time frame for the child are laudable, but there are consequences for both children and their parents. The aspirations of the Public Law Outline (2008) are well rehearsed, but the changes being introduced with the recent reform of the family justice system, alongside particular constructions of parenting, may be failing to recognize the potential of many parents, if offered appropriate support, to care safely for their children.     

Employee turnover forecasting for human resource management based on time series analysis

In some organizations, the hiring lead time is often long due to responding to human resource requirements associated with technical and security constrains. Thus, the human resource departments in these organizations are pretty interested in forecasting employee turnover since a good prediction of employee turnover could help the organizations to minimize the costs and impacts from the turnover on the operational capabilities and the budget. This study aims to enhance the ability to forecast employee turnover with or without considering the impact of economic indicators. Various time series modelling techniques were used to identify optimal models for effective employee turnover prediction. More than 11-years of monthly turnover data were used to build and validate the proposed models. Compared with other models, a dynamic regression model with additive trend, seasonality, interventions, and a very important economic indicator effectively predicted the turnover with training R²?=?0.77 and holdout R²?=?0.59. The forecasting performance of optimal models confirms that time series modelling approach has the ability to predict employee turnover for the specific scenario observed in our analysis.     

Intersectional Epistemologies of Ignorance: How Behavioral and Social Science Research Shapes What We Know,Think We Know,and Don’t Know About U.S. Black Men’s Sexualities

Epistemologies of ignorance describe how ignorance influences the production of knowledge. Advancing an intersectional epistemologies of ignorance approach that examines how conscious (or unconscious) ignorance about racism, heterosexism, and classism shapes empirical knowledge about Black men’s sexualities, we conducted a critical review of the behavioral and social science research on U.S. Black men, ages 18 and older, for two time frames: pre-1981 and the most recent decade, 2006–2016. Our search yielded 668 articles, which we classified into five categories: sexual violence, sexual experiences and expressions, sexual identities, cultural and social-structural influences, and sexual health and sexual risk. We found that most of the research, particularly pre-1981, centered the experiences of White heterosexual men as normative and implicitly constructed Black men as hypersexual or deviant. Most of the research also color-blinded White privilege and ignored how racism, heterosexism, and classism structured Black men’s inequities. We also found notable exceptions to these trends. Black men who are gay, bisexual, or who have sex with men, and research on HIV risk were prominent in the past decade, as was research that emphasized the social-structural (e.g., poverty, heterosexism, racism) and cultural (e.g., masculinity, religion) contexts of Black men’s lives and sexualities. We provide 10 recommendations to avoid intersectional epistemic ignorance in future research.     

Adolescent‐to‐parent violence and abuse: Parents' management of tension and ambiguity—an interpretative phenomenological analysis

Adolescent violence and abuse towards parents is under researched, especially in the UK where reports of the phenomenon are increasing with little clear guidance as to how practitioners might respond. In this qualitative study, 6 parents were recruited through youth offending teams and were interviewed about their lived experiences of violence and/or abuse from their adolescent child. Using interpretative phenomenological analysis, 3 superordinate themes emerged (a) the tensions and (b) the ambiguities produced by living with the violence and abuse and (c) the ways that parents manage the harms caused by these tensions and ambiguities. Theoretical and clinical implications are discussed, including consideration of how practitioners might support parents who are living with adolescent‐to‐parent violence and abuse to establish healthy and sustainable coping strategies while repairing family relationships.     

Job access after leaving education: a comparative analysis of young women and men in rural Germany

Rural labour markets for youth are an interesting research area for labour force transition studies because gender differences begin to appear with the out-migration that leads to a shortage of young women in Europe. Whilst existing studies provide insight into this migration flow, little is known about the young women and men who remain in the labour force in rural areas. The aim of this study is to provide insight into the determinants of job access after leaving education in Germany among the young population aged 15–29 based on the Labour Force Survey of 2002–2009. First, an empirical analysis of student to employment flow in rural areas with respect to social position (degree discipline, age, and socio-professional category) has been conducted. Second, gender-specific multinomial logit models are used to estimate the determinants of access to a first job without a long-term unemployment spell. The results suggest that there are substantive differences in student to employment flow between female and male samples for the variables urbanisation degree of residence (rural, urban, and peri-urbain) and marital status. Contrary to our expectations, living in rural areas does not suggest a significant negative effect in accessing a job within a year. In line with previous studies, being married has a negative influence on female graduates but is positive for their male counterparts.     

Fertility beyond the frontier: indigenous women,fertility, and reproductive practices in the Ecuadorian Amazon

Recent research suggests that after decades of population decline, indigenous populations of the lowland tropics of Latin America are now experiencing rapid growth. At the same time, conservationists have pronounced indigenous lands as a key to the future of Amazon forests. As such, conservationists should have a good understanding of indigenous demography and impacts on conservation and development. Yet, there is little depth to understanding of these demographic changes and a dearth of quantitative research on the reproductive practices of indigenous populations. This study addresses these gaps through analyses of a household survey of 648 women of reproductive age from five distinct ethnic populations in the Ecuadorian Amazon. We estimate fertility, analyze reproductive intentions and contraceptive use, and determine the unmet need for reproductive health services. The analyses confirm high fertility rates and high levels of unmet need for contraception. With regard to program and policy implications, we conclude by arguing that isolation and cultural barriers present unique challenges to meet the reproductive health needs of these populations. Innovative approaches, such as those merging population–health–environment topics, may be most relevant for meeting these challenges.

TOWARD UNDERSTANDING THE CONTENTS OF THE “BLACK BOX” FOR PREDICTING COMPLEX DECISION-MAKING OUTCOMES

The purpose of this research is to show the usefulness of three relatively simple nonlinear classification techniques for policy-capturing research where linear models have typically been used. This study uses 480 cases to assess the decision-making process used by 24 experienced national bank examiners in classifying commercial loans as acceptable or questionable. The results from multiple discriminant analysis (a linear technique) are compared to those of chi-squared automatic interaction detector analysis (a search technique), log-linear analysis, and logit analysis. Results show that while the four techniques are equally accurate in predicting loan classification, chi-squared automatic interaction detector analysis (CHAID) and log-linear analysis enable the researcher to analyze the decision-making structure and examine the “human” variable within the decision-making process. Consequently, if the sole purpose of research is to predict the decision maker's decisions, then any one of the four techniques turns out to be equally useful. If, however, the purpose is to analyze the decision-making process as well as to predict decisions, then CHAID or log-linear techniques are more useful than linear model techniques.