Creativity and Ethics: The Relationship of Creative and Ethical Problem-Solving

Students of creativity have long been interested in the relationship between creativity and deviant behaviors such as criminality, mental disease, and unethical behavior. In this study we wished to examine the relationship between creative thinking skills and ethical decision-making among scientists. Accordingly, 258 doctoral students in the health, biological, and social sciences were asked to complete a measure of creative processing skills (e.g., problem definition, conceptual combination, idea generation) and a measure of ethical decision-making examining four domains: data management, study conduct, professional practices, and business practices. It was found that ethical decision-making in all four of these areas was related to creative problem-solving processes with late-cycle processes (e.g., idea generation and solution monitoring) proving particularly important. The implications of these findings for understanding the relationship between creative and deviant thought are discussed.     

Longitudinal Multi-Trait-State-Method Model Using Ordinal Data

Multi-trait multi-method (MTMM) models provide a way to assess convergent and discriminant validity when multiple traits are measured by multiple methods. In recent years, longitudinal extensions of MTMM models have been proposed in the structural equation modeling framework to evaluate whether and how the trait as well as method factors change over time. We propose a novel longitudinal ordinal MTMM model that can be used to effectively distinguish volatile “state” processes from “trait” processes that tend to remain stable and invariant over time. The proposed model, termed a longitudinal multi-trait-state-method (LM-TSM) model, combines 3 key modeling components: (a) a measurement model for ordinal data, (b) a vector autoregressive moving average model at the latent level to examine changes in the state as well as the method factors over time, and (c) a second-order factor-analytic model to capture time-invariant traits as shared variances among the state factors across all measurement occasions. Data from the Affective Dynamics and Individual Differences (ADID; Emotions and Dynamic Systems Laboratory, 2010 Emotions and Dynamic Systems Laboratory. (2010). The Affective Dynamics and Individual Differences (ADID) study: Developing non-stationary and network-based methods for modeling the perception and physiology of emotions. . Unpublished manual, University of North Carolina at Chapel Hill. [Google Scholar]) study was used to illustrate the proposed longitudinal LM-TSM model. Methodological issues associated with fitting the LM-TSM model are discussed.     

ideology and the stagnation of aoda treatment modalities in america

The disease model of alcoholism was adopted by the American Medical Assoication in 1956, and the intervening 47 years have seen the development of increasingly varied and sophisticated types of evidence for the biological sources of addiction to Alcohol and other drugs of abuse (AODA) . However, a synthesis of 12-step treatment with a confrontational and moralistic version of cognitive psychology remains the modal approach to AODA treatment, despite its inability to even engage many addicts. Simultaneously, the growing evidence for therapies that teach self-regulation of biopsychological processes, which treat clients supportively while encouraging their recognition of the problems and building their desire to change, has been largely ignored by practitioners. The epitome of this self-regulation approach, neurofeedback therapy, has been all but ignored despite reports of high success rates. This paper examines the confluence historical economic and ideological factors that maintain this divergence between knowledge and practice from the perspective of Gusfield's notion of moral passage based on deviant labels.     

The Death of a Pet: Implications for Loss and Bereavement Across the Lifespan

Abstract

Companion animals play a distinct role in our lives and for many, they are a part of the family and not simply just a pet. Today, in the United States, there is an increasing emphasis placed on the relationships that we build with our pets. A healthy relationship with our pets also lends to translate into a healthier lifestyle. However, we usually learn at a fairly young age that these beloved creatures do not live as long as we do. The loss of a pet in childhood is frequently our first face-to-face encounter with death and often affects how we will grieve as adults. Particularly within the field of psychology, the way we mourn our animal friends has gained increasing importance. This article looks at the literature concerning bereavement across the adult lifespan and focuses on the similarities between the way we grieve for our loved ones, both human and animal. We address some of the controversies associated with euthanasia and the treatment and support available to those in mourning. Finally, recommendations are offered to address some of the methodological problems in current bereavement research along with suggestions for further work in this area     

Heart failure patients’ desires for spiritual care,perceived constraints,and unmet spiritual needs: relations with well-being and health-related quality of life

Little information is available about HF patients’ desires regarding having their healthcare providers address their spiritual concerns, feeling constrained in doing so, and the extent to which their spiritual needs go unmet. Nearly half of our sample reported high levels of unmet spiritual needs and reported moderately strong desires to have their doctor or other healthcare professional attend to their spiritual needs, and moderately strong feelings of constraint in doing so. Spiritual constraint and unmet spiritual needs were associated with poorer spiritual, psychological and physical well-being, but these effects varied, depending on patients’ desire to discuss spiritual needs. These findings have important implications for clinical management of HF patients.     

The social class worldviews of first-generation college students

The social class worldviews (social class beliefs, attitudes, and values) of 14 first-generation college students were investigated with qualitative interviews. Consensual qualitative research analysis revealed first-generation students’ perspectives on the development of their social class worldviews, the effect of these worldviews on their transitions to college, and vice versa. The students’ pre-college beliefs and values promoted hard work and college attendance as a means of financial success. The transition to college created disequilibrium in the social class worldviews of the students interviewed, who in turn responded by attempting to adapt to the new culture, emphasizing their social class background, or downplaying the role of social class in their lives altogether. College professionals working with first-generation students are encouraged to facilitate dialogues with first-generation students about their social class worldview and its impact on students’ engagement with the college community.     

Modeling the Instructional Effectiveness of Responsible Conduct of Research Education: A Meta-Analytic Path-Analysis

Predictive modeling in education draws on data from past courses to forecast the effectiveness of future courses. The present effort sought to identify such a model of instructional effectiveness in scientific ethics. Drawing on data from 235 courses in the responsible conduct of research (RCR), structural equation modeling techniques were used to test a predictive model of RCR course effectiveness. Fit statistics indicated the model fit the data well, with the instructional characteristics included in the model explaining approximately 85% of the variance in RCR instructional effectiveness. Implications for using the model to develop and improve future RCR courses are discussed.     

Sex differences in cooperation: a meta-analytic review of social dilemmas

Although it is commonly believed that women are kinder and more cooperative than men, there is conflicting evidence for this assertion. Current theories of sex differences in social behavior suggest that it may be useful to examine in what situations men and women are likely to differ in cooperation. Here, we derive predictions from both sociocultural and evolutionary perspectives on context-specific sex differences in cooperation, and we conduct a unique meta-analytic study of 272 effect sizes-sampled across 50 years of research-on social dilemmas to examine several potential moderators. The overall average effect size is not statistically different from zero (d = -0.05), suggesting that men and women do not differ in their overall amounts of cooperation. However, the association between sex and cooperation is moderated by several key features of the social context: Male-male interactions are more cooperative than female-female interactions (d = 0.16), yet women cooperate more than men in mixed-sex interactions (d = -0.22). In repeated interactions, men are more cooperative than women. Women were more cooperative than men in larger groups and in more recent studies, but these differences disappeared after statistically controlling for several study characteristics. We discuss these results in the context of both sociocultural and evolutionary theories of sex differences, stress the need for an integrated biosocial approach, and outline directions for future research.