The triadic legitimacy model: Understanding support to disobedient groups

In a social-psychological perspective, many scholars have argued that disobedience plays a significant role in avoiding the degeneration of the authority into autocracy and in promoting social change. In particular, the tripolar model (minority-majority-population) proposed by Mugny (1982) emphasized the role of the population for the stability or the progress of every society. Authority may indeed preserve the status quo only on the grounds of its influence on a large population. Likewise, protesters may achieve social change only by influencing and involving a large part of the population in their struggles. In understanding why people decide to join a protest, the aim of this article is to integrate Kelman and Hamilton's (1989) analysis of legitimacy with the tripolar model on social influence. The model we propose – namely the triadic legitimacy model (TLM) – explains the dialectic between social stability and social change by considering both authority's and disobedient groups' legitimacies.     

Applying sampling theories to attitude learning in a virtual school class environment

According to sampling theories of attitude formation, evaluative learning depends on the sampling in the environment. We investigated teachers’ student evaluations in a simulated school class. Two experiments were designed to test distinct implications of experience-sampling models. While the model advanced by Fazio, Eiser, and Shook (2004) and Denrell (2005) led to the prediction of a negativity effect through asymmetric depolarization, another model (Fiedler, 1996) suggested a positivity effect through asymmetric polarization. Findings supported the latter contention. The selective tendency to oversample good students while neglecting weaker students was not radical enough to prevent the correction of negative impressions, precluding a negativity effect. Instead, extended selective sampling led to gradually increasing polarization of positive impressions, and facilitated detection of positive performance changes. While these findings can be reconciled with the Fazio–Denrell model, they highlight the crucial role of auxiliary psychological assumptions about attitude learning, as distinguished from the formal model itself.     

On the short horizon of spontaneous iterative reasoning in logical puzzles and games

A reasoning strategy is iterative when the initial conclusion suggested by a set of premises is integrated into that set of premises in order to yield additional conclusions. Previous experimental studies on game theory-based strategic games (such as the beauty contest game) observed difficulty in reasoning iteratively, which has been partly attributed to bounded individual rationality. However, this difficulty has also been attributed to problems in adequately representing the beliefs, actions, and goals of other agents involved in the games. In four experiments, we observed similar difficulties in iterative reasoning in a variety of puzzles and games that did not involve social interactions with other agents, where they can only be caused by individual cognitive boundaries. Our findings are consistent with the hypothesis that an intrinsic difficulty in iterative reasoning originates from a tendency not to revise our initial mental representation of a problem in light of the initial conclusions that it implies.     

Health-related behavioural change—a test of a new model

Abstract

Numerous studies have demonstrated that planned health education and health promotion interventions are not particularly successful in bringing about behavioural change. It is suggested that the reasons for this are the fallacious theoretical assumptions underlying many intervention strategies and the failure to place sufficient emphasis on the context in which health-related behaviours occur. Studies of self-initiated behavioural change suggest that the antecedents of change are often events or processes which bring a previously routinised and unremarked behaviour into new focus.

This paper describes a preliminary test of a new model of behavioural change in which a group of lay people were recruited to act as paid interviewers on a food survey in their own area. The survey was particularly concerned with the consumption of high fibre foods. he and post-test measures of the interviewers' own food habits as compared with those of a control group indicated modest support for the proposed model. Implications of this study for health education and promotion are discussed.     

Changes in self-regulatory cognitions as predictors of changes in smoking and nutrition behaviour

Most longitudinal, correlational studies on health-behaviour change examine effects of Time1 social-cognitive predictors on subsequent behaviour. In contrast, our research focusses on associations between changes in predictors with change in behaviour. The Health Action Process Approach (HAPA) distinguishes between motivational predictors for intention formation and volitional predictors for behavioural change and served as theoretical basis. Two online-studies were launched targeting different behaviours (low-fat diet, smoking), different samples (Study 1: N = 469; Study 2: N = 441) and different time spans (Study 1: 3 months, Study 2: 4 weeks). Data were analysed by means of structural equation modelling with latent difference scores. Both studies resulted in almost parallel prediction patterns. Change in risk awareness and change in outcome expectancies did not result in change in intentions, whereas change in self-efficacy was of crucial importance. Change in behaviour was associated with change in action planning and action control over and above the effects of intentions. In one study, increases in self-efficacy yielded increases in behaviour change. Results demonstrate that change in action planning and especially action control was of great importance for behaviour change across two different behaviours. Analysing change in social-cognitive predictors allows drawing precise conclusions for interventions.     

Depressive symptoms in outpatients with heart failure: Importance of inflammatory biomarkers,disease severity and personality

Objective: Depressive symptoms are highly prevalent in heart failure (HF) patients, however the underlying etiology of depression in HF patients remains yet unclear. Hence, the goal is to examine the relative importance of inflammation, disease severity and personality as predictors of depression in HF patients. Design: Depressive symptoms (Hospital Anxiety and Depression Scale, depression subscale) were assessed at baseline and one-year follow-up in 268 HF patients (75.6% men; mean age?=?66.7?±?8.7). Markers of inflammation (TNFα, sTNFr1, sTNFr2, IL-6 and IL-10), disease severity (e.g. New York Heart Association (NYHA) classification) and personality (Type D personality, loneliness) were assessed at baseline. Results: At baseline, NYHA class, body mass index, educational level, Type D personality and loneliness were significantly associated with depression. Higher NYHA class (B?=?2.25; SE?=?.83), higher educational level (B?=?1.41; SE?=?.48), Type D personality (B?=?2.56; SE?=?.60) and loneliness (B?=?.19; SE?=?.05) were also independently associated with higher depression levels at one-year follow-up (all p-values?<?.005). Inflammation, brain natriuretic peptide and left ventricular ejection fraction were not related to depression over time. Conclusions: Personality factors, but not inflammation, were independent concomitants of depressive symptoms in patients with HF. Gaining more insight into the etiology of depression in HF patients is important in order to identify potential targets for novel interventions.     

Development and exploratory cluster-randomised opportunistic trial of a theory-based intervention to enhance physical activity among adolescents

This article reports the development and exploratory testing of a school-based intervention programme designed to enhance levels of physical activity in adolescents. The intervention is based on social cognitive theory (SCT), self-regulation theory (SRT) and planning as evidence-based mediators of physical activity changes. Two classes, paired on socio-economic variables, were selected from each of eight Portuguese schools and randomly assigned to an intervention or control group (N = 291). Primary outcome was ‘moderate to vigorous physical activity’ (International Physical Activity Questionnaire) measured pre and post intervention and at three and nine months follow-up. SCT, SRT and planning variables were secondary outcomes measured pre and post intervention. At post test, participants in the intervention group reported 18 min per week more physical activity (PA), adjusted for pre-intervention, age and sex, than those in the control group (95% confidence interval ?10 to 46; p = 0.249). This difference increased to 33 min (95% CI–4 to 71; p = 0.082) at three months and to 57 min (95% CI 13 to 101, p = 0.008) at nine month follow-up. Moreover, the intervention resulted in changes of some of the theoretical target variables, including outcome expectancies and coping planning. However, no evidence was found for the changes in theoretical moderators to mediate the intervention effects on behaviour. Implications for theory and for future research are discussed.     

Understanding AIDS preventive behavior with casual and primary partners in homosexual men: The theory of planned behavior and the information-motivation-behavioral-skills model

Abstract

This study examined whether components from the Information-Motivation-Behavioral-Skills Model, in particular information, added explanatory power to factors derived from the Theory of Planned Behavior with respect to predicting AIDS-preventive behaviors among gay men. Participants were recruited from a longstanding cohort study in Amsterdam. Multivariate regression analyses showed that concepts from the Theory of Planned Behavior could account adequately for intentions to use condoms with casual as well as with steady partners. Actual behavior was best predicted by past behavior. In addition, structural equation modeling demonstrated that the causal paths as posited by Theory of Planned Behavior had a good fit to the data. From the presented findings implications for preventive interventions can be drawn. Specifically, interventions to increase condom use with casual partners need to focus at improving perceived behavioral control regarding this behavior, for instance through skills training. Interventions aimed at safer sex within steady relationships should take into account that the HIV-status of the individual and his partner plays an important role in the occurrence of unprotected anal sex in a romantic dyad.     

Relationships among the theory of planned behavior,stages of change,and exercise behavior in older persons over a three year period

Abstract

The present study examined the relationships among the theory of planned behavior (TPB), stages of change, and exercise behavior in 131 older persons over a three year period. Participants completed a baseline questionnaire by mail that assessed attitude, perceived control, subjective norm, intention, and stage and then received a telephone call three years later in which current exercise stage and behavior were assessed. Path analyses showed that (a) TPB constructs were significant predictors of exercise stage, (b) intention mediated the effects of TPB constructs on exercise stage, and (c) exercise behavior was best predicted by intention rather than stage. Results were interpreted as providing evidence for the long term predictive validity of TPB in the exercise domain and as questioning the necessity of combining both intention and stage in a single predictive model.     

Forecasting Elections from Voters' Perceptions of Candidates' Ability to Handle Issues

When deciding for whom to vote, voters should select the candidate they expect to best handle issues, all other things equal. A simple heuristic predicted that the candidate who is rated more favorably on a larger number of issues would win the popular vote. This was correct for nine out of ten U.S. presidential elections from 1972 to 2008. We then used simple linear regression to relate the incumbent's relative issue ratings to the actual two‐party popular vote shares. The resulting model yielded out‐of‐sample forecasts that were competitive with those from the Iowa Electronic Markets and established quantitative models. The issue‐index model has implications for political decision makers, as it can help to track campaigns and to decide which issues to focus on. Copyright © 2012 John Wiley & Sons, Ltd.