The positive contributions of hope to maintaining and restoring health: An integrative,mixed-method approach

A link between hope and physical well-being has long been suspected. To shed further light on this issue, an integrative theory of hope was used to design three health-related studies. In studies one and two, an integrative hope scale was used. In study one, greater hope was associated with depth of commitment to a healthier diet and regular exercise. In study two, the integrative hope scale was associated with a wider array of health behaviors as compared to a standard goal-oriented hope scale. In study three, a hope-centered content analysis of testimonies provided by long-term breast cancer survivors revealed a strong reliance on attachment and spirituality, dimensions typically neglected in psychological studies of this [hope] construct. An integrative approach to hope offers a framework for further research on hope and health as well as a blueprint for developing positive interventions to sustain and restore physical well-being.     

Explanation,updating, and accuracy

There is evidence that people update their credences partly on the basis of explanatory considerations. Philosophers have recently argued that to minimise the inaccuracy of their credences, people's updates also ought to be partly based on such considerations. However, there are many ways in which explanatory considerations can factor into updating, not all of which minimise inaccuracy. It is an open question whether in their updating, people take explanatory considerations into account in a way that philosophers would deem recommendable. To address this question, we re-analyse data from an experiment reported in Douven and Schupbach, “The role of explanatory considerations in updating” (Cognition, 2015).     

The Persuasive Effects of Emotive Visual Imagery: Superficial Manipulation or the Product of Passionate Reason?

This study reevaluates the persuasive impact of emotional visual appeals within politics and examines two different explanations for their effects. One possibility is that the effects of emotive visual images are essentially superficial in nature, consistent with the view that feelings aroused by an affective image are transferred somewhat mechanically to a political candidate or cause with which it is paired. This transfer-of-affect explanation suggests that emotional appeals may work best among the least informed voters or those paying the least attention to a persuasive political message. The second possibility is that emotional appeals work via passionate reason, in which affective responses to an emotive image are integrated with, and potentially bias, reasoned thought about the accompanying message. This integrated approach leads to the counterintuitive prediction that individuals who are most highly involved in an issue (and who know the most about it) are most influenced by emotional imagery. This prediction arises from growing evidence that people highly involved in value-laden social issues generate the strongest emotional responses to issue-related persuasive appeals. These two models were tested in a study in which undergraduate students were presented with a picture of a cute or an ugly animal and a flyer from an organization advocating a pro- or anti-environment stance with respect to preserving the animal's habitat. The responses showed that emotive imagery was most persuasive among the most involved environment supporters, providing clear evidence of passionate reasoning.     

Microcosm–Macrocosm

Much has been learned in the 20th century about the impact of covert group dynamics on the individual, the family and small group on the micro level and about institutions, communities, national and international process on a macro level. However, as we enter the new millennium this knowledge seems dwarfed by the burgeoning of knowledge about the brain and biological approaches to disturbed human behavior, casting a worrisome shadow on the future of dynamic group therapies. This article explores the impact of socio-economic-political forces on mental health delivery systems from the vantage point of group process and therapy, and raises questions about possible interventions to restore a balance between social dynamics and biology.     

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.     

心理学视野下的社会变迁研究：研究设计与分析方法

近年来,社会变迁导致的文化、心理与行为变化及其相互建构已经成为心理学的研究热点。社会变迁研究通常涉及和变迁相关的时间效应、时代效应以及和变迁无关的年龄效应。在考察变迁趋势及其影响因素时,常用的研究设计有跨时间比较、跨代际比较、跨地区比较(历史重构)等方法;常用的分析方法有传统的相关和回归分析和现代的时间序列分析(比如交叉滞后相关和格兰杰因果检验)等。由于每一种设计都有其优点和不足,在具体研究中,研究者要根据研究的问题和可操作性选择合适的方法;如果可能,最好同时采用多种方法,以寻求基于不同方法的聚合证据。     

Theory change in immunology part II: The clonal selection theory

This two-part article examines the competition between the clonal selection theory and the instructive theory of the immune response from 1957–1967. In Part I the concept of a temporally extended theory is introduced, which requires attention to the hitherto largely ignored issue of theory individuation. Factors which influence the acceptability of such an extended theory at different temporal points are also embedded in a Bayesian framework, which is shown to provide a rational account of belief change in science. In Part II these factors, as elaborated in the Bayesian framework, are applied to the case of the success of the clonal selection theory and the failure of the instructive theory.     

Capturing system level activities and impacts of mental health consumer-run organizations

Since the 1970s mental health consumer-run organizations have come to offer not only mutual support, but they have also adopted agendas for broader social change. Despite an awareness of the need for system level efforts that create supportive environments for their members, there has been limited research demonstrating how their system level activities can be documented or their impacts evaluated. The purpose of this paper is to feature a method of evaluating systems change activities and impacts. The paper is based on a longitudinal study evaluating four mental health consumer-run organizations in Ontario, Canada. The study tracked system level activities and impacts using both qualitative and quantitative methodologies. The article begins by describing the development and implementation of these methods. Next it offers a critical analysis of the methods used. It concludes by reflecting on three lessons learned about capturing system level activities and impacts of mental health consumer-run organizations.     

The cognitive structure of surprise: looking for basic principles

We develop a conceptual and formal clarification of notion of surprise as a belief-based phenomenon by exploring a rich typology. Each kind of surprise is associated with a particular phase of cognitive processing and involves particular kinds of epistemic representations (representations and expectations under scrutiny, implicit beliefs, presuppositions). We define two main kinds of surprise: mismatch-based surprise and astonishment. In the central part of the paper we suggest how a formal model of surprise can be integrated with a formal model of belief change. We investigate the role of surprise in triggering the process of belief reconsideration. There are a number of models of surprise developed in the psychology of emotion. We provide several comparisons of our approach with those models.

I like you,I like you not: Understanding the formation of context-dependent automatic attitudes

Previous research has shown that automatic evaluations can be highly context dependent. Expanding on past research demonstrating context effects for existing attitudes toward familiar objects, the present research examined basic principles that guide the formation of context-dependent versus context-independent automatic attitudes. Results from four experiments showed that: (a) newly formed attitudes generalised to novel contexts when prior experiences with the attitude object were evaluatively homogeneous; (b) when prior experiences were evaluatively heterogeneous, automatic evaluations became context sensitive, such that they reflected the contingency between the valence of prior experiences and the context in which these experiences occurred; and (c) when prior experiences were evaluatively heterogeneous across different contexts, novel contexts elicited automatic evaluations that reflected the valence of first experiences with the attitude object. Implications for research on automatic evaluation and attitude change are discussed.