Self-Determination Theory and Motivational Interviewing: Complementary Models to Elicit Voluntary Engagement by Partner-Abusive Men

Research examining intimate partner violence (IPV) has lacked a comprehensive theoretical framework for understanding and treating behavior. The authors propose two complementary models, a treatment approach (Motivational Interviewing, MI) informed by a theory (Self-Determination Theory; SDT), as a way of integrating existing knowledge and suggesting new directions in intervening early with IPV perpetrators. MI is a client-centered clinical intervention intended to assist in strengthening motivation to change and has been widely implemented in the substance abuse literature. SDT is a theory that focuses on internal versus external motivation and considers elements that impact optimal functioning and psychological well-being. These elements include psychological needs, integration of behavioral regulations, and contextual influences on motivation. Each of these aspects of SDT is described in detail and in the context of IPV etiology and intervention using motivational interviewing.     

Directions of fit and the humean theory of motivation 1

According to the Humean theory of motivation, a person can only be motivated to act by a desire together with a relevantly related belief. More specifically, a person can only be motivated to ? by a desire to ψ together with a belief that ?-ing is a means to or a way of ψ-ing. In recent writings, Michael Smith gives what has become a very influential argument in favour of the Humean claim that desire is a necessary part of motivation, and a great deal has been written about Smith's defence of this Humean claim. However, no one has yet identified the fundamental weakness of his defence. The fundamental weakness is that there is no single conception of directions of fit that does all the work Smith needs it to do throughout the various stages of his defence.     

Examining the Relationship of Substance Use and Sexual Orientation

In this article we examine the effects of self-reported sexual orientation on substance abuse. Using data on a random sample of 6,713 individuals in Washington State, this study examines causes and correlates of substance use by sexual minorities, an at-risk and treatment underserved population. Logistic regression results indicate homosexual orientation is a significant positive predictor of past year marijuana use, past year hard drug use, past year binge drinking, and lifetime alcohol addiction. Bisexual orientation is a significant predictor of past year marijuana use, past year hard drug use, and past year binge drinking. Potential causal mechanisms for these elevated patterns of substance use are discussed.     

Feeling Controlled and Drinking Motives Among College Students: Contingent Self-Esteem as a Mediator

This article presents an examination of college student drinking motives from a self-determination perspective. We predicted positive associations between controlled orientation (a chronic orientation toward pressures and experiencing a lack of choice in one's behaviors), and drinking as a means of regulating affect (enhancement and coping motives) and social approval (social rewards and conformity motives). Contingent self-esteem involves deriving self-worth from meeting expectations and was expected to mediate the relation between controlled orientation and drinking motives, which were in turn expected to predict alcohol consumption and related consequences. College students' (N?=?204) controlled orientation, contingent self-esteem, motives for drinking, and patterns of alcohol use were assessed. Mediation analyses provided support for our theoretical framework. Results suggest that “controlled” individuals drink to regulate affect and social approval in part because they have a greater tendency to base self-worth on contingencies.     

CHull as an alternative to AIC and BIC in the context of mixtures of factor analyzers

Mixture analysis is commonly used for clustering objects on the basis of multivariate data. When the data contain a large number of variables, regular mixture analysis may become problematic, because a large number of parameters need to be estimated for each cluster. To tackle this problem, the mixtures-of-factor-analyzers (MFA) model was proposed, which combines clustering with exploratory factor analysis. MFA model selection is rather intricate, as both the number of clusters and the number of underlying factors have to be determined. To this end, the Akaike (AIC) and Bayesian (BIC) information criteria are often used. AIC and BIC try to identify a model that optimally balances model fit and model complexity. In this article, the CHull (Ceulemans & Kiers, 2006) method, which also balances model fit and complexity, is presented as an interesting alternative model selection strategy for MFA. In an extensive simulation study, the performances of AIC, BIC, and CHull were compared. AIC performs poorly and systematically selects overly complex models, whereas BIC performs slightly better than CHull when considering the best model only. However, when taking model selection uncertainty into account by looking at the first three models retained, CHull outperforms BIC. This especially holds in more complex, and thus more realistic, situations (e.g., more clusters, factors, noise in the data, and overlap among clusters).     

Ethical social justice: Do the ends justify the means?

This article offers an ethical decision‐making model, informed by community psychology values, as a means for guiding psychologists when engaging in social justice‐oriented work. The applicability of this model is demonstrated through a case analysis elucidating how America's psychologists individually and collectively arrived at the decision to endorse torture—ostensibly as a means for preventing terrorism. Critics have wondered how the American Psychological Association succumbed to these involvements, and how to prevent such ethical lapses in the future. Unfortunately, the American Psychological Association's ethical codes fail to provide explicit guidance for psychologists' involvement in social justice work that impacts communities and systems. To address this gap, we present a values‐driven, ethical decision‐making framework that may be used to guide psychologists' future practices. This framework infuses fundamental community psychology values (i.e., caring and compassion; health; self‐determination and participation, human diversity, social justice; and critical reflexivity) into a 9‐step model.     

The psychological impacts of global climate change

An appreciation of the psychological impacts of global climate change entails recognizing the complexity and multiple meanings associated with climate change; situating impacts within other social, technological, and ecological transitions; and recognizing mediators and moderators of impacts. This article describes three classes of psychological impacts: direct (e.g., acute or traumatic effects of extreme weather events and a changed environment); indirect (e.g., threats to emotional well-being based on observation of impacts and concern or uncertainty about future risks); and psychosocial (e.g., chronic social and community effects of heat, drought, migrations, and climate-related conflicts, and postdisaster adjustment). Responses include providing psychological interventions in the wake of acute impacts and reducing the vulnerabilities contributing to their severity; promoting emotional resiliency and empowerment in the context of indirect impacts; and acting at systems and policy levels to address broad psychosocial impacts. The challenge of climate change calls for increased ecological literacy, a widened ethical responsibility, investigations into a range of psychological and social adaptations, and an allocation of resources and training to improve psychologists' competency in addressing climate change-related impacts.     

No good deed goes unquestioned: Cynical reconstruals maintain belief in the power of self-interest

In four studies, we examined how people maintain beliefs that self-interest is a strong determinant of behavior, even in the face of disconfirming evidence. People reflecting on selfless behavior tend to reconstrue it in terms of self-interested motives, but do not similarly scrutinize selfish behaviors for selfless motives. Study 1 found that people react to new information that selfless behavior is common by interpreting it as more reflective of self-interest. Studies 2a and 2b, applying a Bayesian analysis, demonstrated that people see “too much” self-interest in seemingly selfless actions, given their prior beliefs, but see the predicted amount of self-interest in seemingly selfish actions. This demonstrates that people do not possess internally consistent belief systems, but rather undue cynicism. In Study 3, participants read about real philanthropists whose acts of generosity had been heralded by major news outlets. As participants spent more time considering why such philanthropy was performed, they formed more cynical impressions of the philanthropists' motives. Beyond offering insight into why belief in the norm of self-interest persists, these studies introduce a novel route by which beliefs resist disconfirmation.