Family Diversity and Child Health: Where Do Same‐Sex Couple Families Fit?

Increasing family diversity during the past half century has focused national attention on how children are faring in nontraditional family structures. Much of the limited evidence on children in same‐sex couple families suffers from several shortcomings, including a lack of representative data. We use the National Health Interview Survey (2004–2012) and the National Survey of Children's Health (2011–2012) to identify children in different‐sex married and cohabiting families, never and previously married single‐parent families, and same‐sex couple families. Considering important characteristics such as the child's race or ethnicity and adoption status, household socioeconomic standing, family stability, and parent health, we examine the relationship between family type and parent‐rated overall child health. The results suggest that poorer health among children in same‐sex couple as well as different‐sex cohabiting couple and single‐parent families appears to be largely the product of demographic and socioeconomic differences rather than exposure to nontraditional family forms.     

Mothers' and Fathers' Well‐Being in Parenting Across the Arch of Child Development

Limited research on parental well‐being by child age suggests that parents are better off with very young children despite intense time demands of caring for them. This study uses the American Time Use Survey Well‐Being Module (N = 18,124) to assess how parents feel in activities with children of different ages. Results show that parents are worse off with adolescent children relative to young children. Parents report the lowest levels of happiness with adolescents relative to younger children, and mothers report more stress and less meaning with adolescents. Controlling for contextual features of parenting including activity type, solo parenting, and restorative time does not fully account for the adolescent disadvantage in fathers' happiness or mothers' stress. This study highlights adolescence as a particularly difficult stage for parental well‐being and shows that mothers shoulder stress that fathers do not, even after accounting for differences in the context of their parenting activities.     

Maternal Employment,Community Contexts,and the Child‐Care Arrangements of Diverse Groups

Integrating family and child data from the Early Childhood Longitudinal Study–Birth Cohort with contextual data from the census, this study examined associations among maternal employment, aspects of communities related to child‐care supply and demand, and the early care and education arrangements of 4 year olds in Mexican‐origin, Black, and White families. Children with employed mothers were more likely to be in informal care arrangements than in early childhood education, regardless of racial/ethnic background. For children in Mexican‐origin families, selection into informal care over early childhood education was more likely in zip codes with greater demand for care as measured by higher female employment. Utilization of parent care versus early childhood education was also more likely for children in Mexican‐origin and Black families in zip codes with higher female employment. Constraints associated with maternal employment thus hindered children from enrolling in early childhood education, and community contexts posed challenges for some groups.     

Insider/Outsider: A Muslim Woman's Adventure Practicing ‘Alongside’ Narrative Therapy

The following paper centres on my unique experience as a white Australian therapist who is able to sympathise with a Western world view while being immersed in an Islamic world view. The goal is to share my journey as a Muslim Australian via an auto‐ethnography reflexive method. Using diaries, intentional reflexive positioning, and multiple modes of supervision, I contemplate an Islamic identity and value system while negotiating poststructural therapies such as solution‐focused collaborative, and in particular, narrative therapy as viable approaches to working with the Muslim community. There are two inquiries which are of interest. The first is to reflexively describe the experience of being a Muslim practitioner and wondering whether core differences in epistemological views between social constructionism and Islamic doctrine can be overcome. Secondly, this enquiry explores Quranic guidelines about how to perceive ‘problems’ in life, based on the premise that understanding how an Islamic world view addresses life's troubles may add to deeper conceptions of the role of difficulties. I propose that adherent Muslims have a natural metaphorical way of thinking that connects with some of the poststructural therapeutic skills and techniques and at the same time draw on past Quranic solutions for contemporary problems. Little has been written on narrative therapy as a suitable approach to working with Muslim clients. In the current paper I review my personal experience as a veiled Muslim therapist striving to implement narrative therapy alongside an Islamic epistemology.     

Career Adaptability,Self‐Esteem,and Social Support Among Hong Kong University Students

Career adaptability manifests itself through 4 self‐regulated internal resources for coping with occupational challenges and transitions: concern, control, curiosity, and confidence. Few studies have examined career adaptability specifically in the Hong Kong context. The Career Adapt‐Abilities Scale–China Form (CAAS‐China; Hou, Leung, Li, Li, & Xu, 2012 ) was administered, along with measures of self‐esteem and social support, to 522 Hong Kong Chinese undergraduate students. Results indicated that the CAAS‐China is a reliable and valid instrument for use with these students. Data also showed that self‐esteem was strongly associated with career adaptability, and this relationship was partially mediated by perceived social support. Implications for careers counseling in universities and colleges are discussed.     

Focusing on Focusing Events: Event Selection,Media Coverage,and the Dynamics of Contentious Meaning‐Making

Despite the prevalent assumption among scholars of social movements and contentious politics that transformative contentious events are also the focus of public attention and discussion, there has been little attempt to substantiate this. After making a case for why to focus on focusing events and suggesting that these events should be thought of as products of a dialogical contentious meaning‐making process, we develop a coverage attribute‐based method for identifying focusing events. For illustrative purposes, we apply our method to the coverage of contentious events during the “first” intifada by Israeli‐Jewish, Jewish settler, and Palestinian newspapers. Findings from analyses of 11,868 news items reveal that newspapers are likely to strategically quiet contentious events that are strategically amplified by newspapers affiliated with opposing or targeted parties, and vice versa, depending on their interpretation of these events as political opportunities or threats. Analyses of variations across and within contending parties reveal the role of structure and agency in the dialogical seesaw‐like dynamics of contentious meaning‐making.     

Children's Perspectives on Happiness and Subjective Well‐being in Preschool

Photo‐elicited interviews indicate that children hardly ever mention educators when asked about elements in preschool that make them feel happy. Happiness is found to occur in activities in the ‘underlife’ of the ECEC institution. Children challenge adult rules and norms in order to create status in the peer‐group, while at the same time, they seek to construct social identity and maintain a positive relationship with their educators. A child that manages to balance both adult expectations and what is needed to participate in the underlife among peers, experiences happiness and thus, is in a good state of well‐being.     

ESTIMATING A PARAMETER WHEN IT IS KNOWN THAT THE PARAMETER EXCEEDS A GIVEN VALUE

In some statistical problems a degree of explicit, prior information is available about the value taken by the parameter of interest, θ say, although the information is much less than would be needed to place a prior density on the parameter's distribution. Often the prior information takes the form of a simple bound, ‘θ > θ₁ ’ or ‘θ < θ₁ ’, where θ₁ is determined by physical considerations or mathematical theory, such as positivity of a variance. A conventional approach to accommodating the requirement that θ > θ₁ is to replace an estimator, , of θ by the maximum of and θ₁. However, this technique is generally inadequate. For one thing, it does not respect the strictness of the inequality θ > θ₁ , which can be critical in interpreting results. For another, it produces an estimator that does not respond in a natural way to perturbations of the data. In this paper we suggest an alternative approach, in which bootstrap aggregation, or bagging, is used to overcome these difficulties. Bagging gives estimators that, when subjected to the constraint θ > θ₁ , strictly exceed θ₁ except in extreme settings in which the empirical evidence strongly contradicts the constraint. Bagging also reduces estimator variability in the important case for which is close to θ₁, and more generally produces estimators that respect the constraint in a smooth, realistic fashion.     

A simple two-stage design for quantitative responses with application to a study in diabetic neuropathic pain

Two-stage designs offer substantial advantages for early phase II studies. The interim analysis following the first stage allows the study to be stopped for futility, or more positively, it might lead to early progression to the trials needed for late phase II and phase III. If the study is to continue to its second stage, then there is an opportunity for a revision of the total sample size. Two-stage designs have been implemented widely in oncology studies in which there is a single treatment arm and patient responses are binary. In this paper the case of two-arm comparative studies in which responses are quantitative is considered. This setting is common in therapeutic areas other than oncology. It will be assumed that observations are normally distributed, but that there is some doubt concerning their standard deviation, motivating the need for sample size review. The work reported has been motivated by a study in diabetic neuropathic pain, and the development of the design for that trial is described in detail.     

Models for the analysis of C-reactive protein in statin trials

Elevation in C-reactive protein (CRP) is an independent risk factor for cardiovascular disease progression and levels are reduced by treatment with statins. However, on-treatment CRP, given baseline CRP and treatment, is not normally distributed and outliers exist even when transformations are applied. Although classical non-parametric tests address some of these issues, they do not enable straightforward inclusion of covariate information. The aims of this study were to produce a model that improved efficiency and accuracy of analysis of CRP data. Estimation of treatment effects and identification of outliers were addressed using controlled trials of rosuvastatin. The robust statistical technique of MM-estimation was used to fit models to data in the presence of outliers and was compared with least-squares estimation. To develop the model, appropriate transformations of the response and baseline variables were selected. The model was used to investigate how on-treatment CRP related to baseline CRP and estimated treatment effects with rosuvastatin. On comparing least-squares and MM-estimation, MM-estimation was superior to least-squares estimation in that parameter estimates were more efficient and outliers were clearly identified. Relative reductions in CRP were higher at higher baseline CRP levels. There was also evidence of a dose-response relationship between CRP reductions from baseline and rosuvastatin. Several large outliers were identified, although there did not appear to be any relationships between the incidence of outliers and treatments. In conclusion, using robust estimation to model CRP data is superior to least-squares estimation and non-parametric tests in terms of efficiency, outlier identification and the ability to include covariate information.