An evaluation of multi‐criteria methods in integrated assessment of climate policy

Those who conduct integrated assessments (IAs) are aware of the need to explicitly consider multiple criteria and uncertainties when evaluating policies for preventing global warming. MCDM methods are potentially useful for understanding tradeoffs and evaluating risks associated with climate policy alternatives. A difficulty facing potential MCDM users is the wide range of different techniques that have been proposed, each with distinct advantages. Methods differ in terms of validity, ease of use, and appropriateness to the problem. Alternative methods also can yield strikingly different rankings of alternatives. A workshop was held in which climate change experts and policy makers evaluated the usefulness of MCDM for IA. Participants applied several methods in the context of a hypothetical greenhouse gas policy decision. Methods compared include value and utility functions, goal programming, ELECTRE, fuzzy sets, stochastic dominance, min max regret, and several weight selection methods. Ranges, rather than point estimates, were provided for some questions to incorporate imprecision regarding weights. Additionally, several visualization methods for both deterministic and uncertain cases were used and evaluated. Analysis of method results and participant feedback through questionnaires and discussion provide the basis for conclusions regarding the use of MCDM methods for climate change policy and IA analyses. Hypotheses are examined concerning predictive and convergent validity of methods, existence of splitting bias among experts, perceived ability of methods to aid decision‐making, and whether expressing imprecision can change ranking results. Because participants gained from viewing a problem from several perspectives and results from different methods often significantly differed, it appears worthwhile to apply several MCDM methods to increase user confidence and insight. The participants themselves recommended such multimethod approaches for policymaking. Yet they preferred the freedom of unaided decision‐making most of all, challenging the MCDM community to create transparent methods that permit maximum user control. Copyright © 2002 John Wiley & Sons, Ltd.     

Movies on the couch: The MOVIE model of film therapy

Film therapy, the therapeutic use of movies in psychological therapies, is a growing area of interest to therapists and researchers. This paper discusses the benefits of film therapy and presents a method, the MOVIE model of film therapy, a widely applicable, trauma-informed framework for individual or group therapy, counsellor education and self-help. Film or cinema therapy is a highly accessible and relatable method for many diverse groups. The benefits identified include emotional processing, greater ease of dialogue, increased empathy, interpersonal learning, new perspectives and learning skills. Following the model's reflective steps, clients mindfully observe and voice their emotional and psychological responses to movie-watching; identify how the imagery, characters, themes and story symbolise personal experience; and consider any new possibilities that emerged for their own lives. The model is informed by a practice-focussed review of literature and draws on methods from mindfulness and experiential and narrative therapies. The steps are widely applicable in a range of settings and can be adapted across counselling modalities. Further research to consider the outcomes of using the model, alongside qualitative research on clients' experiences of working this way with film, is recommended.     

A Limited Information Estimator for Dynamic Factor Models

Structural equation modeling (SEM) is an increasingly popular method for examining multivariate time series data. As in cross-sectional data analysis, structural misspecification of time series models is inevitable, and further complicated by the fact that errors occur in both the time series and measurement components of the model. In this article, we introduce a new limited information estimator and local fit diagnostic for dynamic factor models within the SEM framework. We demonstrate the implementation of this estimator and examine its performance under both correct and incorrect model specifications via a small simulation study. The estimates from this estimator are compared to those from the most common system-wide estimators and are found to be more robust to the structural misspecifications considered.     

The impact of bundle comparisons on bundle preference

The bundling literature largely holds that a person's reaction to a given product bundle depends only on the characteristics of the products contained in the bundle. This paper, instead, proposes that people evaluate bundles in reference to other bundles that they have seen. Prior research indicates that people are sensitive to a bundle's “attribute inventory” or the aggregate level of comparable attributes possessed by its constituent products. We show that when people evaluate a bundle, they compare the attribute inventories that it offers to those offered by other bundles that they have seen. The resulting compositional comparisons can occur without changes to the products that comprise the target and contextual bundles, vary by attribute comparability and attentional focus, and coexist with (and at times reverse the effects of) well‐established product‐specific context effects, which are determined solely by the products and their attributes.     

Multicultural Competency Training of School Counselor Trainees: Development of the Social Class and Classism Training Questionnaire

The Social Class and Classism Training Questionnaire was developed to assess multicultural competency and training of social class and classism for school counselor trainees (SCTs). The authors analyzed the differences between accreditation status, social class backgrounds, and factors contributing to SCTs’ competence and training. Results showed that socially desirable responding, number of multicultural courses, and training level contributed most to perceived competence and training. This study provides insight into factors influencing SCTs’ competence and training of social class. El Cuestionario de Capacitación en Clase Social y Clasismo fue desarrollado para evaluar la competencia multicultural y capacitación en clase social y clasismo de consejeros escolares en formación (SCT, por sus siglas en inglés). Los autores analizaron las diferencias entre el estado de acreditación, la clase social de origen y otros factores que contribuyen a la competencia y capacitación de los SCT. Los resultados mostraron que las respuestas socialmente deseables, el número de cursos multiculturales y el nivel de capacitación contribuyeron en mayor medida a la percepción de competencia y capacitación. Este estudio ofrece una perspectiva de los factores que influyen en la competencia y capacitación en clase social de los SCT.     

Drinking to belong: The effect of a friendship threat and self-esteem on college student drinking

The current study examined how implicit and explicit self-esteem and time spent drinking with friends influence college student drinking after a friendship threat manipulation. Poisson regression analyses revealed that students with low implicit self-esteem showed a greater increase in alcohol consumption when drinking with friends after experiencing a friendship threat than in the control condition. These effects were not found among students with high implicit self-esteem. A similar, but weaker, pattern emerged when testing the independent effects of explicit self-esteem. We suggest that low self-esteem students are drinking because they lack the self-resources to deal with unmet belongingness needs. These findings suggest that low implicit self-esteem may be a risk factor for college student drinking.     

Creating state of the art,next-generation Virtual Reality exposure therapies for anxiety disorders using consumer hardware platforms: design considerations and future directions

Decades of research and more than 20 randomized controlled trials show that Virtual Reality exposure therapy (VRET) is effective in reducing fear and anxiety. Unfortunately, few providers or patients have had access to the costly and technical equipment previously required. Recent technological advances in the form of consumer Virtual Reality (VR) systems (e.g. Oculus Rift and Samsung Gear), however, now make widespread use of VRET in clinical settings and as self-help applications possible. In this literature review, we detail the current state of VR technology and discuss important therapeutic considerations in designing self-help and clinician-led VRETs, such as platform choice, exposure progression design, inhibitory learning strategies, stimuli tailoring, gamification, virtual social learning and more. We illustrate how these therapeutic components can be incorporated and utilized in VRET applications, taking full advantage of the unique capabilities of virtual environments, and showcase some of these features by describing the development of a consumer-ready, gamified self-help VRET application for low-cost commercially available VR hardware. We also raise and discuss challenges in the planning, development, evaluation, and dissemination of VRET applications, including the need for more high-quality research. We conclude by discussing how new technology (e.g. eye-tracking) can be incorporated into future VRETs and how widespread use of VRET self-help applications will enable collection of naturalistic “Big Data” that promises to inform learning theory and behavioral therapy in general.     

Taking Stock of the Diversity and Sense of Community Debate

Over the past couple of years, a debate has played out in the pages of the American Journal of Community Psychology concerning the relationship between two of Community Psychology's core values: promoting diversity and promoting a sense of community. This special section is to continue a discussion about diversity and community, both among the debate's initial contributors (Alex Stivala, Greg Townley, and Zachary Neal), as well as among others whose own work has touched on these issues (Anne Brodsky, Richard Florida, Jean Hill, and Roderick Watts). In this essay, I address some broad questions that have emerged through this discussion. First, because much has been written on the relationship between diversity and community, both in community psychology and in other disciplines, what do we know, or at least think we know? Second, since the constructs of diversity and sense of community are complex and multi‐faceted, how can definitions get in the way and how can we avoid talking past one another in this discussion? Finally, looking across the original papers that initiated this discussion, as well as the contributions in this special section, what path(s) forward do we have?     

A cleansing fire: Moral outrage alleviates guilt and buffers threats to one’s moral identity

Why do people express moral outrage? While this sentiment often stems from a perceived violation of some moral principle, we test the counter-intuitive possibility that moral outrage at third-party transgressions is sometimes a means of reducing guilt over one’s own moral failings and restoring a moral identity. We tested this guilt-driven account of outrage in five studies examining outrage at corporate labor exploitation and environmental destruction. Study 1 showed that personal guilt uniquely predicted moral outrage at corporate harm-doing and support for retributive punishment. Ingroup (vs. outgroup) wrongdoing elicited outrage at corporations through increased guilt, while the opportunity to express outrage reduced guilt (Study 2) and restored perceived personal morality (Study 3). Study 4 tested whether effects were due merely to downward social comparison and Study 5 showed that guilt-driven outrage was attenuated by an affirmation of moral identity in an unrelated context.