Recent exposure affects artifact naming

Deciding how to label an object depends both on beliefs about the culturally appropriate name and on memory. A label should be consistent with a language community's norms, but those norms can be used only if they can be retrieved. Two experiments are reported in which we tested the hypothesis that immediate prior exposure to familiar objects and their names affects how an ambiguous target object is named. Exposure to a typical instance of one name category was pitted against exposure to one or two instances from a contrasting category. When the contrast set consisted of a neighbor of the target, naming was usually consistent with the contrast category. This effect was reduced when a typical instance of the contrast category was also exposed. In Experiment 2, the exposure set was varied to include conditions in which either the neighbor or a prototypical instance was paired with an instance dissimilar to the target. The results suggest that all recently exposed objects affect name choice in proportion to their similarity to the target.     

Psychiatric inpatients' perceptions of written no-suicide agreements: an exploratory study

One hundred thirty-five psychiatric inpatients admitted for suicidal danger were surveyed regarding their views on the benefits/limitations of written no-suicide agreements. A survey instrument developed for this study revealed that these inpatients, for the most part, rated written no-suicide agreements in a positive manner and in ways consistent with clinical opinion expressed in a number of qualitative/expert-opinion articles. Positive views of no-suicide agreements were not materially influenced by social desirability or age, nor were they moderated by gender, presence/absence of Axis II disorders, or admission suicidal danger. However, patient suicide attempt history (no attempts, one attempt, or more than one attempt) exerted a moderating effect on patients' ratings of the helpfulness of these contracts. Multiple attempters viewed written no-suicide agreements as less helpful than those patients with a single or no prior attempts. The methodological problems and generalizability concerns associated with these results are discussed and future research needs are suggested.     

Windowed cross-correlation and peak picking for the analysis of variability in the association between behavioral time series

Cross-correlation and most other longitudinal analyses assume that the association between 2 variables is stationary. Thus, a sample of occasions of measurement is expected to be representative of the association between variables regardless of the time of onset or number of occasions in the sample. The authors propose a method to analyze the association between 2 variables when the assumption of stationarity may not be warranted. The method results in estimates of both the strength of peak association and the time lag when the peak association occurred for a range of starting values of elapsed time from the beginning of an experiment.     

Partiality and Its Dual

This paper explores allowing truth value assignments to be undetermined or "partial" (no truth values) and overdetermined or "inconsistent" (both truth values), thus returning to an investigation of the four-valued semantics that I initiated in the sixties. I examine some natural consequence relations and show how they are related to existing logics, including ukasiewicz's three-valued logic, Kleene's three-valued logic, Anderson and Belnap's (first-degree) relevant entailments, Priest's "Logic of Paradox", and the first-degree fragment of the Dunn-McCall system "R-mingle". None of these systems have nested implications, and I investigate twelve natural extensions containing nested implications, all of which can be viewed as coming from natural variations on Kripke's semantics for intuitionistic logic. Many of these logics exist antecedently in the literature, in particular Nelson's "constructible falsity".     

Model complexity: The fit to random data reconsidered

A recent controversy in the field of depth perception has highlighted an important aspect of model testing concerning a model's complexity, defined as the prior propensity of the model to fit arbitrary data sets. The present article introduces an index of complexity, called the mean minimum distance, defined as the average squared distance between an arbitrary data point and the prediction range of the model. It may also be expressed as a dimensionless quantity called the scaled mean minimum distance. For linear models, theoretical values for the scaled mean minimum distance and the variance of the scaled minimum distance can be readily obtained and compared against empirical estimates obtained from fits to random data. The approach is applied to resolving the question of the relative complexity of the Linear Integration model and the Fuzzy Logic of Perception model, both of which have been the subject of controversy in the field of depth perception. It is concluded that the two models are equally complex. Received: 10 October 1998 / Accepted: 22 December 1998     

Cognitive-behavioral therapy for ADHD in medication-treated adults with continued symptoms

The purpose of the present study was to examine the potential efficacy, patient acceptability, and feasibility of a novel, cognitive-behavioral therapy (CBT) for adults with attention-deficit hyperactivity disorder (ADHD) who have been stabilized on medications but still show clinically significant symptoms. Thirty-one adults with ADHD and stable psychopharmacology for ADHD were randomized to CBT plus continued psychopharmacology or continued psychopharmacology alone. Assessments included ADHD severity and associated anxiety and depression rated by an independent evaluator (IE) and by self-report. At the outcome assessment, those who were randomized to CBT had lower IE-rated ADHD symptoms (p < .01) and global severity (p < .002), as well as self-reported ADHD symptoms (p < .0001) than those randomized to continued psychopharmacology alone. Those in the CBT group also had lower IE-rated and self-report anxiety (p's < .04), lower IE-rated depression (p < .01), and a trend to have lower self-reported depression (p = .06). CBT continued to show superiority over continued psychopharmacology alone when statistically controlling levels of depression in analyses of core ADHD symptoms. There were significantly more treatment responders among patients who received CBT (56%) compared to those who did not (13%) (p < .02). These data support the hypothesis that CBT for adults with ADHD with residual symptoms is a feasible, acceptable, and potentially efficacious next-step treatment approach, worthy of further testing.     

Prejudice and stereotype maintenance processes: attention, attribution, and individuation

Three experiments examined the relationship between prejudice and processing of stereotypic information. Higher levels of prejudice were associated with greater attention to and more thorough encoding of stereotype-inconsistent than stereotype-consistent behaviors but only when processing capacity was plentiful (Experiments 1 and 3). High-prejudice participants attributed consistent behaviors to internal factors and inconsistent behaviors to external forces (Experiment 2). Together, these results suggest that high-prejudice people attend carefully to inconsistent behaviors to explain them away but only if they have sufficient resources to do so. Results also showed that low-prejudice but not high-prejudice participants formed individuated impressions by integrating the implications of the target's behaviors (i.e., individuating). High levels of prejudice appear to be associated with biased encoding and judgment processes that may serve to maintain stereotypes.     

Feeling and believing: the influence of emotion on trust

The authors report results from 5 experiments that describe the influence of emotional states on trust. They found that incidental emotions significantly influence trust in unrelated settings. Happiness and gratitude--emotions with positive valence--increase trust, and anger--an emotion with negative valence--decreases trust. Specifically, they found that emotions characterized by other-person control (anger and gratitude) and weak control appraisals (happiness) influence trust significantly more than emotions characterized by personal control (pride and guilt) or situational control (sadness). These findings suggest that emotions are more likely to be misattributed when the appraisals of the emotion are consistent with the judgment task than when the appraisals of the emotion are inconsistent with the judgment task. Emotions do not influence trust when individuals are aware of the source of their emotions or when individuals are very familiar with the trustee.     

A confirmatory approach to the factor structure of the Boredom Proneness Scale: evidence for a two-factor short form

We analyzed previous exploratory factor analytic structures on the Boredom Proneness Scale (BPS; Farmer & Sundberg, 1986) using confirmatory factor analysis in structural equation modeling in LISREL 8 (J?reskog & S?rbom, 1993). These analyses indicated that 2 factors were generally consistent across 6 exploratory models. Items that had significant loadings on these two factors (N = 12; 6 for each factor) indicated a lack of Internal Stimulation and External Stimulation. In further analysis on these 12 items using LISREL, we found a much improved fit and provided support for a short form version of the original BPS. We also found the shortened version to be invariant across gender. We discuss implications for the more precise measurement of boredom proneness and the use of the scale in applied settings.     

An illustration of multilevel factor analysis

The factor analysis of repeated measures psychiatric data presents interesting challenges for researchers in terms of identifying the latent structure of an assessment instrument. Specifically, repeated measures contain both within and between individual sources of variance. Although a number of techniques exist for separating out these 2 sources of variance, all are problematic. Recently, researchers have proposed that exploratory multilevel factor analysis (MFA) be used to appropriately analyze the latent structure of repeated measures data. The chief objective of this report is to provide a didactic step-by-step guide on how MFA may be applied to psychiatric data. In the discussion, we describe difficulties associated with MFA and consider challenges in factor analyzing life event appraisals in psychiatric samples.