Pubertal Timing and Tempo: Associations With Childhood Maltreatment

This study examined pubertal timing and tempo in a sample of 445 adolescents (53% male), using both variable‐centered (latent growth curve) and person‐centered (latent class) approaches, to discern the pubertal development trajectories associated with the experience of maltreatment. Results from the variable‐centered analyses indicated a slower initial tempo that increased later for boys who had experienced neglect. The person‐centered results indicated three classes for boys that mainly differentiated tempo effects and two classes for girls primarily distinguishing timing differences. For girls, sexual abuse predicted membership in an earlier pubertal timing class. These findings enhance our knowledge of the variability in pubertal development as well as gender differences in maltreatment types that may alter pubertal timing and tempo.     

Coping and Regulating Emotions: A Pilot Study of a Modified Dialectical Behavior Therapy Group Delivered in a College Counseling Service

Abstract

Objective: To analyze the efficacy of a pilot program, aimed at treating college students with borderline personality disorder (BPD) using short-term, modified group dialectical behavior therapy at an Australian college counseling service (CCS). Participants: Seventeen enrolled college students aged between 18 and 28 (76.5% female), with a diagnosis of BPD completed the program between November 2009 and November 2010. Methods: Participants attended 8 2-hour group therapy sessions, held at the CCS during semester. Participants were assessed for levels of depression, anxiety, BPD traits, and coping strategies, at commencement and completion of the program. Results: There was a reduction in symptoms of depression and BPD traits, and an increase in adaptive coping skills, including problem solving, and constructive self-talk. There was no reduction in anxiety. Conclusions: The findings indicate promise for short-term treatment of college students with BPD. Implications and limitations are discussed, with emphasis on replication with a control group.     

Misplaced Mistrust: The Collaborative Construction of Doubt In 911 Emergency Calls

In this paper, we analyze how the call-taker in a taped 911 call came to doubt a caller who was reporting a genuine emergency. Using conversation analysis, we show how the caller's actions in the unfolding context of the call did not successfully support his claims to be a caller with legitimate trouble to report. We show how the participants' experience of the call as it unfolded differed from the media's depictions of the call. The call-taker's doubt was not an intrapersonal phenomenon but was constructed by both participants throughout the call. One of the major factors in this construction was the unsuccessful claims-making techniques used by the caller.     

A BAYESIAN SIMULATION APPROACH TO INFERENCE ON A MULTI‐STATE LATENT FACTOR INTENSITY MODEL

The influence of economic conditions on the movement of a variable between states (for example a change in credit rating from A to B) can be modelled using a multi‐state latent factor intensity framework. Estimation of this type of model is, however, not straightforward, as transition probabilities are involved and the model contains a few highly analytically intractable distributions. In this paper, a Bayesian approach is adopted to manage the distributions. The innovation in the sampling algorithm used to obtain the posterior distributions of the model parameters includes a particle filter step and a Metropolis–Hastings step within a Gibbs sampler. The feasibility and accuracy of the proposed sampling algorithm is supported with a few simulated examples. The paper contains an application concerning what caused 1049 firms to change their credit ratings over a span of ten years.     

Non-stationary partition modeling of geostatistical data for malaria risk mapping

The most common assumption in geostatistical modeling of malaria is stationarity, that is spatial correlation is a function of the separation vector between locations. However, local factors (environmental or human-related activities) may influence geographical dependence in malaria transmission differently at different locations, introducing non-stationarity. Ignoring this characteristic in malaria spatial modeling may lead to inaccurate estimates of the standard errors for both the covariate effects and the predictions. In this paper, a model based on random Voronoi tessellation that takes into account non-stationarity was developed. In particular, the spatial domain was partitioned into sub-regions (tiles), a stationary spatial process was assumed within each tile and between-tile correlation was taken into account. The number and configuration of the sub-regions are treated as random parameters in the model and inference is made using reversible jump Markov chain Monte Carlo simulation. This methodology was applied to analyze malaria survey data from Mali and to produce a country-level smooth map of malaria risk.     

Spatial modelling of gene frequencies in the presence of undetectable alleles

Bayesian hierarchical models are developed to estimate the frequencies of the alleles at the HLA-C locus in the presence of non-identifiable alleles and possible spatial correlations in a large but sparse, spatially defined database from Papua New Guinea. Bayesian model selection methods are applied to investigate the effects of altitude and language on the genetic diversity of HLA-C alleles. The general model includes fixed altitudinal effects, random language effects and random spatially structured location effects. Conditional autoregressive priors are used to incorporate the geographical structure of the map, and Markov chain Monte Carlo simulation methods are applied for estimation and inference. The results show that HLA-C allele frequencies are explained more by linguistic than altitudinal differences, indicating that genetic diversity at this locus in Papua New Guinea probably tracks population movements and is less influenced by natural selection than is variation at HLA-A and HLA-B.     

The Parent Concerns Questionnaire and Parenting Stress Index: comparison of two Common Assessment Framework‐compatible assessment instruments

There is a long‐standing interest in finding ways to develop systematic and consistent means for conducting assessments. Behind this lies a concern with issues such as adequate responses to need, prevention, early intervention and evidence‐based practice. The Common Assessment Framework (CAF) has been developed for wide use for families with additional needs, for various contexts, including children's centres. This, however, has been subject to some criticism. Two instruments with considerable potential relevance to areas consistently important in child and family assessment, focusing on parents (and hence likely to be of generic use with CAF), are the Parent Concerns Questionnaire (PCQ), developed specifically in relation to children's social care populations, and Parenting Stress Index (PSI). The way forward is to investigate empirically what they offer to practice. This paper examines their potential for practice in children's centres through a comparative methodology, an approach particularly suitable to identifying the distinctive qualities and contribution of each. The findings demonstrate both have considerable potential relevance for practice, outlines what each offers, with the detailed individual assessments and its ecological framework characteristic of the PCQ providing benefits additional to the PSI.