The Children First Program: The Effectiveness of a Parent Education Program for Divorcing Parents

This study evaluated the effectiveness of the 2nd and 3rd editions of the Children First parent education programs for parents experiencing divorce or separation. Participants were 678 parents experiencing separation or divorce in 2 Midwestern counties. Changes from pretest to posttest on participants’ knowledge, attitudes, and likelihood of adaptive coparenting were assessed. Both editions of the program had a significant positive effect on all 3 measures of adaptive coparenting. The effect sizes from pretest to posttest for the 2nd edition were small, whereas the effect sizes for the 3rd edition of the program were nearly twice as large. Superiority of the 3rd edition might be due to an increased focus on explicit training on adaptive coparenting behaviors.     

All My Friends Are Doing It: Potentially Offensive Sexual Behavior Perpetration Within Adolescent Social Networks

The current study used social network analysis to investigate peer network and individual predictors of potentially offensive sexual behaviors among high school students. Ninth‐grade students (n = 308; 158 girls) completed surveys assessing their perpetration of potentially offensive sexual behaviors against their peers, as well as measures of their sexualized gender stereotypes and propensity to self‐monitor. Participants selected up to eight of their closest friends from a roster. Results revealed homophily of potentially offensive sexual behaviors, such that adolescents perpetrated similar amounts of physical/verbal, electronic, and homophobic behaviors as their friends. Characteristics of the peer network (e.g., mean network perpetration, centrality of individual, and gender composition) and the individual adolescent (e.g., gender, sexualized gender stereotypes, self‐monitoring) predicted adolescents’ own behavior.     

A Pilot for Improving Depression Care on College Campuses: Results of the College Breakthrough Series–Depression (CBS-D) Project

Abstract

Objective: To implement a pilot quality improvement project for depression identification and treatment in college health. Participants: Eight college health center teams composed primarily of primary care and counseling service directors and clinicians. Methods: Chronic (Collaborative) Care Model (CCM) used with standardized screening to identify, treat, and track depressed students for 12 weeks to monitor predetermined process and clinical outcomes. Results: Of all students receiving primary medical care services between January 2007 and May 2008, 69% (n = 71,908) were screened for depression. A total of 801 depressed students were treated and tracked; most predetermined treatment process and clinical outcome targets were achieved. Conclusion: The CCM for depression shows promise for improving depression identification and care for college students.     

Misclassification of current status data

We describe a simple method for nonparametric estimation of a distribution function based on current status data where observations of current status information are subject to misclassification. Nonparametric maximum likelihood techniques lead to use of a straightforward set of adjustments to the familiar pool-adjacent-violators estimator used when misclassification is assumed absent. The methods consider alternative misclassification models and are extended to regression models for the underlying survival time. The ideas are motivated by and applied to an example on human papilloma virus (HPV) infection status of a sample of women examined in San Francisco.     

Singly and Doubly Censored Current Status Data: Estimation, Asymptotics and Regression

In biostatistical applications interest often focuses on the estimation of the distribution of time between two consecutive events. If the initial event time is observed and the subsequent event time is only known to be larger or smaller than an observed point in time, then the data is described by the well-understood singly censored current status model, also known as interval censored data, case I. Jewell et al. (1994) extended this current status model by allowing the initial time to be unobserved, with its distribution over an observed interval [A, B] known; the data is referred to as doubly censored current status data. This model has applications in AIDS partner studies. If the initial time is known to be uniformly distribute d, the model reduces to a submodel of the current status model with the same asymptotic information bounds as in the current status model, but the distribution of interest is essentially the derivative of the distribution of interest in the current status model. As a consequence the non-parametric maximum likelihood estimator is inconsistent. Moreover, this submodel contains only smooth heavy tailed distributions for which no moments exist. In this paper, we discuss the connection between the singly censored current status model and the doubly censored current status model (for the uniform initial time) in detail and explain the difficulties in estimation which arise in the doubly censored case. We propose a regularized MLE corresponding with the current status model. We prove rate results, efficiency of smooth functionals of the regularized MLE, and present a generally applicable efficient method for estimation of regression parameters, which does not rely on the existence of moments. We also discuss extending these ideas to a non-uniform distribution for the initial time.     

Building the Unsettling Force: Social Workers and the Struggle for Human Rights

Community organizing for human rights provides a platform for social workers to be actively engaged in dismantling systems of oppression. Using a case study of Women In Transition, this article emphasizes strategies for organizing for economic human rights, including opportunities and challenges in using the human rights framework. Recommendations and implications for the social work profession are discussed.     

Editorial

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