Clinicians and supervisors' experiences with developing practices of open dialogue in network meetings in public mental health services

Open Dialogue is a dialogical approach focusing on the perspectives of patients and their social networks on treatment and recovery processes. As part of a larger research project, this prospective cohort study explores what promotes and hinders the development of Open Dialogue in network meetings (ODNM) based on the experiences of thirty-seven clinicians and seven supervisors. Multistage focus group interviews were used to collect data and were analysed thematically. We generated two main themes: (1) togetherness and isolation and (2) challenging and evolving. The findings show that ODNM can be developed in public mental healthcare, but this leads to both challenges and opportunities at the organisational level, such as conflicting perspectives, the difficulty of maintaining interest in ODNM, the need for committed and involved leaders, and the growing change in the traditional view of treatment, which has made clinicians collaborate more with patients and their relatives.     

Infant attachment in the Czech Republic: Categorical and dimensional findings from a post-communist country

Infant attachment remains virtually unexplored in former Eastern Bloc countries. The dimensional approach to infant attachment, which could ease common obstacles in cross-cultural attachment research, necessitates more empirical support. This study explores infant attachment in the Czech Republic, a post-communist country with a unique family policy, using both the categorical and the dimensional models. It also compares the Czech infant attachment distribution to infant attachment distributions in other countries and compares infant attachment distributions in European countries to the Baltimore study sample. In the Strange Situation Procedure, forty-nine (74 %) out of sixty-six mother-infant dyads (35 boys, M = 13.8, SD = 0.9) received the B classification. Despite the generous family policy and cultural emphasis on close mother-infant relationships, the Czech distribution of insecure categories did not differ from the Baltimore study sample. Out of other post-communist countries, only the infant attachment distribution in former East Germany differed from the Czech and the Baltimore study samples due to a lower proportion of type B and a higher proportion of type A infants. There were also more type A infants in the Italian sample. Interactive behavior scales accurately predicted attachment categories in 91 % of cases. Contact-maintenance and proximity-seeking scales substantially improve the assessment of insecure resistant behavior. Our findings support the universality and normativity of attachment and the utility of the dimensional approach.     

Children’s Perspectives of an Enhanced Cognitive-Behavioral Treatment for Child–Parent Dyads With Anxiety Disorders

Prior research has extensively evaluated the efficacy of cognitive-behavioral therapy (CBT) for child anxiety disorders—however, few studies have investigated anxious children’s perspectives and experiences of participating in CBT. This qualitative study explored children’s acceptability of a newly developed enhanced CBT intervention, designed specifically for the treatment of anxiety disorders in children with a clinically anxious parent. The study also explored children’s perceptions and experiences of individual (child only) and joint observational (child–parent) exposure activities that were key to the intervention. Ten children (age range 6–11, M = 8.5 years) and their mothers (age range 34–45, M = 39.5 years) completed in-depth semistructured interviews to investigate child participants’ anticipated and experiential acceptability of the enhanced CBT intervention. Thematic analysis revealed seven major themes broadly reflecting the acceptability, appropriateness, and perceived benefit of the intervention elements, with particular value credited to exposure tasks and the dyadic nature of the intervention. Findings suggest that future experimental evaluation of the enhanced intervention is warranted. Further, the study highlights that CBT for child anxiety disorders, where exposure work is a feature, is acceptable and perceived to be effective by its intended treatment recipients. Trial prospectively registered, preresults, ANZCTR1261900033410.     

Generative models for visualizing idiosyncratic impressions

In their comprehensive review of research on impressions from faces, Sutherland and Young (this issue) highlight both the remarkable progress and the many challenges facing the field. We focus on two of the challenges: the need for generative, powerful models of impressions and the idiosyncratic nature of complex impressions.     

Functions of the Black Church in a Global Society: A Du Boisian Approach

Globalization's impact on local communities is a topic that religious congregations should address as a means of moral and socioeconomic well-being. This is especially important for the Black Church if it hopes to continue supporting the socioeconomic outcomes of its congregants and community members, as it has in the past. Using Du Boisian assessments of the functions of the Black Church, this study assessed how today's congregations can serve similar functions as the congregations that Du Bois studied, while exploring contemporary concerns. With an explanatory sequential research design, this study surveyed Philadelphia-based congregations (N = 108) to assess their understanding of and engagement with the impact of globalization on future generations, paired with subsequent interviews (N = 15) for deeper analysis. The survey included clergy members and youth leaders of various races and religious traditions. With an eye toward equity and considering Philadelphia's diverse demographics, the in-depth semistructured interviews centered on Black churches in Philadelphia. The core findings highlight that clergy members in Philadelphia recognize the importance of prioritizing global issues as a means of social betterment and that a special lens toward race should be considered when looking to solve socioeconomic global issues.     

The Multiplicative AHP,SMART and ELECTRE in a Common Context

This paper presents a comparative study of three popular methods for multicriteria decision analysis based on a particular model of human preferential judgement. Since decisions are invariably made within a given context, we model relative preferences as ratios of increments or decrements in an interval on an axis of desirability. Next we sort the ratio magnitudes into a small number of categories, represented by numerical values on a geometric scale. We explain why the analytic hierarchy process (AHP) and the French collection of ELECTRE methods, typically based on pairwise comparison methods, are concerned with categories of ratio magnitudes, whereas the simple multiattribute rating technique (SMART) essentially uses orders of magnitude of these ratios. This phenomenon provides a common basis for the analysis of the methods in question and for a cross-validation of their results. We illustrate the approach via a well-known case study, the choice of a location for a nuclear power plant. We conclude by discussing the scope of the comparative study. © 1997 John Wiley & Sons, Ltd.     

个体和群体方式绩效评估的准确性研究

本研究通过对 2 1 0名大学生以个体和群体方式对两个学科评估结果的研究 ,分析了个体与群体评估方式以及不同的评估标准对评估过程和评估结果的影响。研究结果表明 :1群体评估方式有利于减少评估中的晕轮效应 ;2群体方式有利于提高对评估信息的利用水平 ;3群体方式有利于提高评估者评分倾向 ,即代表性认知的一致程度 ;4群体方式有利于提高评估者理解绩效信息意义的一致程度 ;5群体方式评估时评估者对绩效信息结构的理解更为合理 ;6提供较为详细的评估标准有利于提高对信息的利用水平 ,有利于提高评估者评分倾向的一致程度以及评估者对学科差异的敏感性。     

Bayesian factor analysis for multilevel binary observations

Multilevel covariance structure models have become increasingly popular in the psychometric literature in the past few years to account for population heterogeneity and complex study designs. We develop practical simulation based procedures for Bayesian inference of multilevel binary factor analysis models. We illustrate how Markov Chain Monte Carlo procedures such as Gibbs sampling and Metropolis-Hastings methods can be used to perform Bayesian inference, model checking and model comparison without the need for multidimensional numerical integration. We illustrate the proposed estimation methods using three simulation studies and an application involving student's achievement results in different areas of mathematics. The authors thank Ian Westbury, University of Illinois at Urbana Champaign for kindly providing the SIMS data for the application.     

Generalized latent trait models

In this paper we discuss a general model framework within which manifest variables with different distributions in the exponential family can be analyzed with a latent trait model. A unified maximum likelihood method for estimating the parameters of the generalized latent trait model will be presented. We discuss in addition the scoring of individuals on the latent dimensions. The general framework presented allows, not only the analysis of manifest variables all of one type but also the simultaneous analysis of a collection of variables with different distributions. The approach used analyzes the data as they are by making assumptions about the distribution of the manifest variables directly.