Using concept mapping as a planning tool: Child welfare citizen review panels

Citizen Review Panels (CRPs) are groups of citizen volunteers authorized by U.S. federal law to examine state child welfare agencies. These groups inspect policies and practices related to child protection responsibilities and are tasked with making recommendations for systemic improvement. Despite the federal mandate for each state to develop a CRP and the potential of these groups to positively impact child welfare practices, there is a dearth in the literature related to CRPs. Consequently, planning and evaluation processes of these groups vary widely. This study reports on the use of concept mapping (CM) to outline a framework for planning and subsequently evaluating the CRP in one southeastern state. CM is a mixed-method research approach that uses multi-dimensional scaling and hierarchical cluster analyses to explore an area of study. Through these analyses, the method creates visual depictions of conceptual relationships between ideas. Data yielded a seven cluster concept map that CRP members (N = 36) utilized for planning processes, and subsequently for developing an internal evaluation tool. Results from this study offer a unifying framework by which CRPs, and similar groups in other areas can utilize for planning and evaluation purposes. After a review of pertinent literature on CRPs, this article explicates CM processes utilized in this study, describes results, discusses lessons learned, and outlines apposite areas for future CRP research.     

Treatment Evaluation in the Presence of Sample Selection

Sample selection and attrition are inherent in a range of treatment evaluation problems such as the estimation of the returns to schooling or training. Conventional estimators tackling selection bias typically rely on restrictive functional form assumptions that are unlikely to hold in reality. This paper shows identification of average and quantile treatment effects in the presence of the double selection problem into (i) a selective subpopulation (e.g., working—selection on unobservables) and (ii) a binary treatment (e.g., training—selection on observables) based on weighting observations by the inverse of a nested propensity score that characterizes either selection probability. Weighting estimators based on parametric propensity score models are applied to female labor market data to estimate the returns to education.     

A Test for Instrument Validity

This paper develops a specification test for instrument validity in the heterogeneous treatment effect model with a binary treatment and a discrete instrument. The strongest testable implication for instrument validity is given by the condition for nonnegativity of point‐identifiable compliers' outcome densities. Our specification test infers this testable implication using a variance‐weighted Kolmogorov–Smirnov test statistic. The test can be applied to both discrete and continuous outcome cases, and an extension of the test to settings with conditioning covariates is provided.     

Median treatment effect in randomized trials

For two response variables y _t and y _c corresponding to two treatments for two policies) T and C , we wish to learn about quantiles of y _t− y _c from the marginal quantiles of y _t and y _c; only one of y _t and y _c is observed for an individual. We find that, in general, this is difficult for quantiles other than the median unless strong assumptions are imposed on how y _t is related to y _c. For the median, we present conditions under which the sign of the median treatment effect is identified.     

The dynamics of citizen sociolinguistics

The objective of this paper is to explore the dynamics of citizen science (CS) in sociolinguistics or citizen sociolinguistics, i.e. the engagement of non‐professionals in doing sociolinguistic research. Based on a CS‐study undertaken in Norway where we engaged young people as citizen scientists to explore linguistic diversity, this paper aims to clarify the definition of citizen sociolinguistics; it seeks to advance the discussion of the advantages of CS and of how CS can contribute to sociolinguistics; it also addresses the opposite: how sociolinguistics can contribute to the general field of citizen science; and it discusses the challenges of a CS‐methodology for sociolinguistic research, epistemologically and ethically, as well as in terms of recruitment, quality control and possible types of sociolinguistic tasks and topics. To meet the needs of society and societal challenges of today there is a need to develop methods and establish scientific acceptance for the relevance of public engagement in research. This paper argues that citizen sociolinguistics has the potential to advance the societal impact of sociolinguistics by constructing a dialogue between ‘the academy’ and ‘the citizens’; citizen sociolinguistics relies on and encourages participatory citizen agency, provides research experience, stimulates curiosity, further research, public understanding of science and (socio)linguistic awareness, and encourages linguistic stewardship.     

Understanding engagement in the Program of Assertive Community Treatment (PACT) from the perspectives of individuals receiving treatment

ABSTRACT

Engagement of individuals with serious mental illnesses in community mental health services is a significant challenge. The Program of Assertive Community Treatment (PACT) is an individual-centered and self-contained mental health program that provides psychiatric treatment, rehabilitation, and support services to persons with serious mental illness who have a history of or likelihood of disengagement with services. Understanding what helps and hinders consumers’ involvement in PACT services may provide information on how to tailor engagement strategies to individuals based on their treatment needs and preferences. The current study builds on existing studies by exploring factors that help and hinder engagement in PACT services from the perspectives of individuals receiving treatment. We conducted open-ended, semi-structured interviews with 17 individuals receiving PACT services. Nine themes were identified through thematic analysis: Desirable qualities of PACT, Focusing on positive outcomes, PACT as a safety net, Recovery orientation, Practical barriers, Conflictual relationships, and Medication side-effects. We conclude that the development of a trusting, therapeutic relationship that is collaborative and person-centered and that is facilitated by both practical and emotional support is critical to engaging individuals in treatment and maximizing positive outcomes.     

Exploring the effectiveness of methadone treatment from the perspective of drug users and their families: a qualitative study in Iran

ABSTRACT

The aim of this study was to explore the effectiveness of Methadone Maintenance Treatment (MMT) from the perspective of drug users and their families. For this qualitative content analysis study, 15 participants were selected via purposive sampling. Data collection was done using deep and semi-structured interviews, which were then analyzed. The results showed that MMT can bring favorable impacts into the patients’ lives and help them with the process of treatment and rehabilitation despite the medical side effects.     

青少年公民教育的发展脉络、现实问题与未来方向

青少年公民教育是新时期促进国家发展,增加国家实力的基本保障。由于相关概念内涵的模糊不清、推行机制的不完善等原因,导致了我国青少年公民教育的理论体系和实施体系建设的相对滞后。直至20世纪90年代以后在国际和国内环境的双重推动下。青少年公民教育才开始有了实质性的发展和推进:同时也存在着理论体系建构滞缓、教学理念混淆、课程衔接乏力、教育内容知行脱节等现实问题。构建一个适应时代发展需求,符合青少年身心发展特征。校内外有机结合的积极有效的青少年公民教育体系成为了新时期发展青少年公民教育的重要任务。     

Doubly adaptive biased coin designs with heterogeneous responses

Doubly adaptive biased coin design (DBCD) is an important family of response-adaptive randomization procedures for clinical trials. It uses sequentially updated estimation to skew the allocation probability to favor the treatment that has performed better thus far. An important assumption for the DBCD is the homogeneity assumption for the patient responses. However, this assumption may be violated in many sequential experiments. Here we prove the robustness of the DBCD against certain time trends in patient responses. Strong consistency and asymptotic normality of the design are obtained under some widely satisfied conditions. Also, we propose a general weighted likelihood method to reduce the bias caused by the heterogeneity in the inference after a trial. Some numerical studies are also presented to illustrate the finite sample properties of DBCD.     

公共危机管理中的公民参与:价值、困境与路径选择——基于社会资本范式的研究

公民参与是公共危机管理的一个重要问题。社会资本理论是分析社会发展的一种重要理论,对公民参与具有较强的解释力。本文梳理了公民参与、公共危机管理和社会资本的相关概念和内涵,以社会资本为中介和基础分析了公共危机管理中公民参与的价值;在社会资本缺失和负外部性下讨论了公民参与公共危机管理的困境;并通过社会资本的投资和自我完善分析了公民参与公共危机管理的路径选择。