Associations between depression, distress tolerance, delay discounting, and alcohol-related problems in European American and African American college students

Although levels of heavy drinking and alcohol-related problems are high in college students, there is significant variability in the number and type of problems experienced, even among students who drink heavily. African American students drink less and experience fewer alcohol-related problems than European American students, but are still at risk, and little research has investigated the potentially unique patterns and predictors of problems among these students. Depression, distress tolerance, and delay discounting have been implicated in adult substance abuse and may be important predictors of alcohol problem severity among college students. We examined the relationship between these variables and alcohol-related problems among African American and European American students (N = 206; 53% female; 68% European American; 28% African American) who reported recent heavy drinking. In regression models that controlled for drinking level, depression, distress tolerance, and delay discounting were associated with alcohol problems among African American students, but only depression was associated with alcohol problems among European American students. These results suggest that negative affect is a key risk factor for alcohol problems among college student drinkers. For African American students, the inability to tolerate negative emotions and to organize their behavior around future outcomes may also be especially relevant risk factors.     

Classification and Moral Evaluation of Uncertainties in Engineering Modeling

Engineers must deal with risks and uncertainties as a part of their professional work and, in particular, uncertainties are inherent to engineering models. Models play a central role in engineering. Models often represent an abstract and idealized version of the mathematical properties of a target. Using models, engineers can investigate and acquire understanding of how an object or phenomenon will perform under specified conditions. This paper defines the different stages of the modeling process in engineering, classifies the various sources of uncertainty that arise in each stage, and discusses the categories into which these uncertainties fall. The paper then considers the way uncertainty and modeling are approached in science and the criteria for evaluating scientific hypotheses, in order to highlight the very different criteria appropriate for the development of models and the treatment of the inherent uncertainties in engineering. Finally, the paper puts forward nine guidelines for the treatment of uncertainty in engineering modeling.     

Happiness is in our Nature: Exploring Nature Relatedness as a Contributor to Subjective Well-Being

Nature relatedness (NR) describes the affective, cognitive, and experiential aspects of human–nature relationships (Nisbet in Environ Behav 41: 715–740, 2009). Evidence from three studies suggests that individual differences in NR are associated with differences in well-being. In study 1 (N = 184), we explore associations between NR and a variety of well-being indicators, and use multiple regression analyses to demonstrate the unique relationship of NR with well-being, while controlling for other environmental measures. We replicate well-being correlates with a sample of business people (N = 145) in Study 2. In study 3 (N = 170), we explore the influence of environmental education on NR and well-being, and find that changes in NR mediate the relationship between environmental education and changes in vitality. We discuss the potential for interventions to improve psychological health and promote environmental behaviour.     

Sex Roles in Health Storylines on Prime Time Television: A Content Analysis

This study examined the role of character gender in prime time television health portrayals. A content analysis of 1,291 health-related storylines from three spring seasons (2004–2006) of the ten most popular American television programs measured the frequency of male and female characters in prominent roles and how storylines differed with the sex of the ill or injured character. Our analyses revealed a significantly greater number of male characters. Moreover, storylines with a male ill or injured character were more serious in tone, more likely to take place in a medical setting, and had higher educational value. Proportionally, there were some similarities in storylines across the sexes, however, the absolute differences are striking and may have unfortunate effects on viewers.     

Prior knowledge enhances the category dimensionality effect

A study of the combined influence of prior knowledge and stimulus dimensionality on category learning was conducted. Subjects learned category structures with the same number of necessary dimensions but with more or fewer additional, redundant dimensions and with either knowledge-related or knowledge-unrelated features. Minimal-learning models predict that all subjects, regardless of condition, either should learn the same number of dimensions or should respond more slowly to each dimension. Despite similar learning rates and response times, subjects learned more features in the high-dimensional than in the low-dimensional condition. Furthermore, prior knowledge interacted with dimensionality, increasing what was learned, especially in the high-dimensional case. A second experiment confirmed that the participants did, in fact, learn more features during the training phase, rather than simply inferring them at test. These effects can be explained by direct associations among features (representing prior knowledge), combined with feedback between features and the category label, as was shown by simulations of the knowledge resonance, or KRES, model of category learning.     

Accuracy of judging others’ traits and states: Comparing mean levels across tests

Tests of accuracy in interpersonal perception take many forms. Often, such tests use designs and scoring methods that produce overall accuracy levels that cannot be directly compared across tests. Therefore, progress in understanding accuracy levels has been hampered. The present article employed several techniques for achieving score equivalency. Mean accuracy was converted to a common metric, pi [Rosenthal, R., & Rubin, D. B. (1989). Effect size estimation for one-sample multiple-choice-type data: Design, analysis, and meta-analysis. Psychological Bulletin, 106, 332–337] in a database of 109 published results representing tests that varied in terms of scoring method (proportion accuracy versus correlation), content (e.g., personality versus affect), number of response options, item preselection, cue channel (e.g., face versus voice), stimulus duration, and dynamism. Overall, accuracy was midway between guessing level and a perfect score, with accuracy being higher for tests based on preselected than unselected stimuli. When item preselection was held constant, accuracy was equivalent for judging affect and judging personality. However, comparisons must be made with caution due to methodological variations between studies and gaps in the literature.     

Clinical practice as natural laboratory for psychotherapy research: a guide to case-based time-series analysis

Both researchers and practitioners need to know more about how laboratory treatment protocols translate to real-world practice settings and how clinical innovations can be systematically tested and communicated to a skeptical scientific community. The single-case time-series study is well suited to opening a productive discourse between practice and laboratory. The appeal of case-based time-series studies, with multiple observations both before and after treatment, is that they enrich our design palette by providing the discipline another way to expand its empirical reach to practice settings and its subject matter to the contingencies of individual change. This article is a user's guide to conducting empirically respectable case-based time-series studies in a clinical practice or laboratory setting.     

A New Old Question: Do contextual factors relate to rating behavior: An investigation with peer evaluations

The personality (dispositional) characteristic of self‐monitoring, beliefs and orientations toward the performance appraisal of 62 peer raters were collected in an attempt to predict peer rating behavior (i.e., mean ratings, rater discrimination, and performance appraisal dimensions discrimination). The beliefs and orientation toward appraisal systems emerged moderately related to rating behavior measures. Specific variables included in the category termed rating context revealed further illuminating effects. Furthermore, the moderating effect of self‐monitoring on the relationship rating the context‐rating behavior of peers was solidly supported. Theoretical interpretations of the results were discussed.     

ARTHUR PEACOCKE'S NATURALISTIC CHRISTIAN FAITH FOR THE TWENTY‐FIRST CENTURY: A BRIEF INTRODUCTION

This article is a brief overview and positive assessment of Arthur Peacocke's essay “A Naturalistic Christian Faith for the Twenty‐First Century.” Here Peacocke further develops his panentheist account of God and provides significant reinterpretations of a number of Christian doctrines using the concept of emergent levels of complex reality with downward efficacy on their constituents.