Psychometric Aspects of Verbal Pragmatic Ratings

This study examined the psychometric aspects of a verbal pragmatic rating scale. The scale contained six pragmatic features (i.e., Conciseness, Lexical Selection, Quantity, Relevancy, Specificity, and Topic Maintenance) based on Grice's cooperative principles. Fifteen right brain-damaged (RBD), 15 left brain-damaged (LBD), and 16 healthy normal control (NC) right-handed adult participants produced narratives while recollecting emotional and nonemotional experiences. Naive raters evaluated each pragmatic feature for appropriateness on a 5-point Likert scale. When reliability was examined, the overall internal consistency of the pragmatic scale was extremely high (alpha =.96). Factor analysis was conducted to examine the theoretical relations among the six pragmatic features. Three meaningful factors involving discourse content, conceptual unity, and parsimony were identified. Findings are discussed in light of Grice's model and the construct validity of the scale.     

Mental Simulations, Affect, and Subjective Confidence: Timing Is Everything

Three studies demonstrated that mental simulations and affect are related to temporal changes in subjective confidence. In Study 1, students' confidence in their midterm exam performance lessened from the first day of class (3.5 weeks before the exam) to exam day, and confidence correlated negatively with upward simulations (i.e., simulations that are better than reality) and negative affect. In Study 2, manipulated upward simulations produced low confidence and negative mood even when the exam was viewed from a distance; students who were forced to think about upward simulations 1 month prior to the exam felt no more confident than did students on exam day. In Study 3, manipulated negative moods produced low confidence and more upward simulations when students anticipated laboratory tasks, and again distal and proximal confidence did not differ. Discussion centers around reciprocal relations between mental simulations and affect, and a possibly integrative account of previous explanations.     

The semantic side of decision making

The research reported in this paper follows the perspective that decision making is a meaningful act that conveys information. Furthermore, the potential meanings associated with decision options may affect the decisions themselves. This idea is examined in the contexts of compensation, donation, and exchange. In general, judgments were relation dependent and meaning dependent. Furthermore, the results show nonmonotonicities and limited substitutability in a pattern that challenges straightforward ways of mapping decisions onto a common currency of utility.     

Full statistical mediation of the relationship between trauma and depressive symptoms

Owing to the potentially devastating effects of trauma‐induced depression, explaining the relationship between trauma and depressive symptoms is important. In this study, we measured lifelong exposure to potentially traumatic events and depressive symptoms in 370‐female undergraduates. We also measured anxiety, past negative time perspective and dissociation as potential mediators. Trauma exposure and depressive symptoms were related with a small but significant effect size (r = .16). Trauma was not associated with dissociation. We found that past negative time perspective and anxiety were full statistical mediators of this trauma‐depressive symptoms relationship. These two mediators combined accounted for all of the variance in that association. Anxiety accounted for more of the variance than past negative time perspective. A proposed explanation is that trauma both affectively elevates anxiety and cognitively creates an enduring focus on the events. Chronic anxiety and a past negative time perspective may lead to depression over time. The clinical implications are possible explanations as to why some treatments work.     

Putting families in the center: family perspectives on decision making and ADHD and implications for ADHD care

Objective: To examine components of family-centered care in families' stories about treatment decision making for their child with ADHD. Method: Twenty-eight families participated in qualitative interviews that addressed families' perspectives on (a) the treatment decision-making process, (b) the cause and impact of their child's symptoms, and (c) treatment goals and preferences. Results: The majority of families preferred to be primary or shared decision makers regarding treatment decisions. Families' perspectives on the cause of the child's symptoms varied and often were not consistent with a biomedical framework. Families described multiple areas of impairment on child, family relationships, and family functioning. Perspectives toward evidence-based treatments were mixed, with families also expressing interest in and pursuing interventions not delineated in current treatment guidelines. Conclusion: These findings reinforce the importance of eliciting families' perspectives and involving these important stakeholders in shared decision making as critical components of family-centered care for children with ADHD.     

SPSS macros to compare any two fitted values from a regression model

In regression models with first-order terms only, the coefficient for a given variable is typically interpreted as the change in the fitted value of Y for a one-unit increase in that variable, with all other variables held constant. Therefore, each regression coefficient represents the difference between two fitted values of Y. But the coefficients represent only a fraction of the possible fitted value comparisons that might be of interest to researchers. For many fitted value comparisons that are not captured by any of the regression coefficients, common statistical software packages do not provide the standard errors needed to compute confidence intervals or carry out statistical tests—particularly in more complex models that include interactions, polynomial terms, or regression splines. We describe two SPSS macros that implement a matrix algebra method for comparing any two fitted values from a regression model. The !OLScomp and !MLEcomp macros are for use with models fitted via ordinary least squares and maximum likelihood estimation, respectively. The output from the macros includes the standard error of the difference between the two fitted values, a 95% confidence interval for the difference, and a corresponding statistical test with its p-value.     

Bion’s discovery of alpha function: Thinking under fire on the battlefield and in the consulting room

This paper has traced Bion’s discovery of alpha function and its subsequent elaboration. His traumatic experiences as a young tank commander in World War I (overlaid on, and intertwined with, childhood conflicts) gave him firsthand exposure to very painful emotions that tested his capacity to manage. Later, in the 1950s, after his analysis with Melanie Klein and marriage to Francesca Bion, he undertook the analysis of psychotic patients and learned how they disassembled their ability to know reality as a defense against unbearable emotional truths in their lives. This led Bion to identify an aspect of dreaming that was necessary in order for reality experience to be given personal meaning so that one may learn from experience. Simultaneous with working out this new theory of dreaming, Bion also revisited his World War I experiences that had remained undigested and all these elements coalesced into a selected fact – his discovery of alpha function. In subsequent writings, Bion explored the constituent factors of alpha function, including the container/contained relationship, the PS?D balance, reverie, tolerated doubt and other factors which I have termed the ‘Constellation for Thinking’.     

Prospective Examination of Self‐Regulatory Efficacy in Predicting Walking for Active Transportation: A Social Cognitive Theory Approach

Walking for transportation is associated with health benefits. Minimal theory‐based research has examined social cognitive and environmental predictors. This study examined social cognitions (self‐regulatory efficacy to plan/schedule and overcome barriers; distance and travel time cognitions) and an environmental factor (proximity) as predictors of walking for transportation. Participants (n = 105) were university students, faculty, and staff, living within a walkable distance to campus. Social cognitions and proximity measures were completed at baseline, followed by walking for transportation to/from the campus over 2 weeks. A hierarchical multiple regression analysis predicted walking (R²_adjusted = .55; p < .05). Self‐regulatory efficacy to plan/schedule and overcome barriers were independent predictors (p's < .01). Findings supported theoretical contentions that self‐regulatory efficacy predicts walking for transportation.     

Hierarchical integration of agency and communion: a study of influential moral figures

The purpose of this research is to (a) identify which of recent history's influential figures did and which did not personify moral excellence, and (b) to examine the motives that drove these individuals along such divergent paths. In Study 1, 102 social scientists evaluated the moral qualities of influential figures from Time Magazine's lists. In Study 2, we selected the 15 top ranking of these figures to comprise a moral exemplar group and the bottom 15 to comprise a comparison group of similarly influential people. We measured the motivational aspects of their personality (agency and communion) by content-analyzing extant speeches and interviews. Moral exemplars exhibited the hierarchical integration of agency and communion by treating agentic motives as a means to an end of communal motives. Comparison subjects, by contrast, personified unmitigated agency by treating motives of agency as both a means to an end and an end unto itself. These results imply that both the strength and structure of a person's motives account for moral behavior.