Parent–child gender matching and child psychological adjustment after divorce

The present study aimed to determine whether a parent–child gender match would influence child psychological adjustment after divorce. Participants included 69 parents (36 mothers) in active family law litigation to resolve issues related to postdissolution of marriage or time-sharing matters. Participants provided demographic information and completed the Child Behavior Checklist (CBCL; Achenbach, 1991 Achenbach, T. M. (1991). Manual for the child behavior checklist/4–18 and 1991 profile. Burlington, VT: Department of Psychiatry, University of Vermont. [Google Scholar]) to assess their perceptions of their child’s internalizing and externalizing behavior problems. Results demonstrated that internalizing and externalizing behaviors were not affected by whether children spent more time with the same gender parent, opposite gender parent, or split their time equally between both. Comparisons and contradictions between the results in this study and existing research are discussed, as well as practical implications.     

A Land of Milk and Honey? Breastfeeding and Identity in Lesbian Families

ABSTRACT

This article explores the relationship between breastfeeding and identity in lesbian-identified families based on a pilot study of qualitative interviews and a short survey of six lesbian families in Canada and the United States. Although breastfeeding is assumed to be “natural” and a biological function, we problematize the practice as both gendered and heteronormative. In our research we found that breastfeeding has a complex role to play within the construction of one's identity as a mother, of one's gender, and of one's sexual orientation. These women's experiences offer interesting insights into the nebulous boundaries of biology and the ways in which assumptions about what is “natural” are actually social and cultural constructions.     

A new Bayesian wavelet thresholding estimator of nonparametric regression

The methods of estimation of nonparametric regression function are quite common in statistical application. In this paper, the new Bayesian wavelet thresholding estimation is considered. The new mixture prior distributions for the estimation of nonparametric regression function by applying wavelet transformation are investigated. The reversible jump algorithm to obtain the appropriate prior distributions and value of thresholding is used. The performance of the proposed estimator is assessed with simulated data from well-known test functions by comparing the convergence rate of the proposed estimator with respect to another by evaluating the average mean square error and standard deviations. Finally by applying the developed method, density function of galaxy data is estimated.     

Marginal models for the association structure of hierarchical binary responses

Clustered binary responses are often found in ecological studies. Data analysis may include modeling the marginal probability response. However, when the association is the main scientific focus, modeling the correlation structure between pairs of responses is the key part of the analysis. Second-order generalized estimating equations (GEE) are established in the literature. Some of them are more efficient in computational terms, especially facing large clusters. Alternating logistic regression (ALR) and orthogonalized residual (ORTH) GEE methods are presented and compared in this paper. Simulation results show a slightly superiority of ALR over ORTH. Marginal probabilities and odds ratios are also estimated and compared in a real ecological study involving a three-level hierarchical clustering. ALR and ORTH models are useful for modeling complex association structure with large cluster sizes.     

Model selection criteria in beta regression with varying dispersion

We address the issue of model selection in beta regressions with varying dispersion. The model consists of two submodels, namely: for the mean and for the dispersion. Our focus is on the selection of the covariates for each submodel. Our Monte Carlo evidence reveals that the joint selection of covariates for the two submodels is not accurate in finite samples. We introduce two new model selection criteria that explicitly account for varying dispersion and propose a fast two step model selection scheme which is considerably more accurate and is computationally less costly than usual joint model selection. Monte Carlo evidence is presented and discussed. We also present the results of an empirical application.     

Saddlepoint p-values for group of linear rank tests

Many nonparametric tests in one sample problem, matched pairs, and competingrisks under censoring have the same underlying permutation distribution. This article proposes a saddlepoint approximation to the exact p-values of these tests instead of the asymptotic approximations. The performance of the saddlepoint approximation is assessed by using simulation studies that show the superiority of the saddlepoint methods over the asymptotic approximations in several settings. The use of the saddlepoint to approximate the p-values of class of two sample tests under complete randomized design is also discussed.     

Ignorability conditions for frequentist non parametric analysis of conditional distributions with incomplete data

Rubin (1976 Rubin, D.B. (1976). Inference and missing data. Biometrika 63(3):581–592.[Crossref], [Web of Science ®] , [Google Scholar]) derived general conditions under which inferences that ignore missing data are valid. These conditions are sufficient but not generally necessary, and therefore may be relaxed in some special cases. We consider here the case of frequentist estimation of a conditional cdf subject to missing outcomes. We partition a set of data into outcome, conditioning, and latent variables, all of which potentially affect the probability of a missing response. We describe sufficient conditions under which a complete-case estimate of the conditional cdf of the outcome given the conditioning variable is unbiased. We use simulations on a renal transplant data set (Dienemann et al.) to illustrate the implications of these results.     

Do Some Students Need Special Protection From Research on Sex and Trauma? New Evidence for Young Adult Resilience in “Sensitive Topics” Research

Institutional review boards (IRBs) have expressed concerns that certain individuals or groups, such as participants who are younger, ethnic minorities, or who have certain psychological or personality traits, may be particularly distressed when participating in “sensitive topics” research. This study examined the effects of several demographic and individual difference factors (i.e., age, sex, ethnicity, religiosity, Big Five personality traits, and baseline psychological distress levels) on reactions to participation in sensitive topics research. Participants were 504 undergraduates who completed an extensive battery of either trauma/sex questionnaires or cognitive tests and rated their positive and negative emotional reactions and the perceived benefits and mental costs of participating. They also compared research participation to normal life stressors. Our findings indicated that individual difference and demographic risk factors do not increase participant distress after participating in sex/trauma research over and above that experienced after participating in traditionally minimal-risk cognitive tasks. Participants generally found research participation less distressing than normal life stressors and even enjoyable.     

“We will never be normal”: The Experience of Discovering a Partner Has Autism Spectrum Disorder

Online forums and lay literature suggest that partners of individuals with Autism Spectrum Disorder (ASD) experience depression, distress, and trauma in their everyday lives, exacerbated during the time surrounding diagnosis. In this content analysis, 29 participants were provided with an online open‐ended statement asking them to describe in writing their experiences of discovering that their partners had ASD during their relationships. Six themes emerged, including: facing unique challenges within relationships; insisting partners seek diagnosis; initial shock and relief; losing hope for normalcy; making accommodations within relationships; and wishing for professional support. Marriage and family therapists should help couples minimize blaming and promote self‐awareness, appropriate relationship expectations, and mutual understanding. Future research should explore the overall experience of neuro‐mixed relationships for both partners.     

Identity Work,Techniques of Neutralization,and Deviance: Exploring the Relationship Among Older Adult Gamblers

This study investigates the value of techniques of neutralization in understanding how people involved in marginal to widely deviant behaviors perform identity work. Based on 33 in‐depth interviews with older adult gamblers, we show how techniques of neutralization are used to align personal and social identities. We describe the techniques of neutralizations our participants use along a continuum of gambling involvement, showing how techniques differ in variety and content and are contingent on larger narratives about appropriate behaviors, identities, and selves operating in contemporary society. Our research helps to refine sociologists' understandings of relationships between levels of involvement in deviant behaviors and identity work.