Affective instability: measuring a core feature of borderline personality disorder with ecological momentary assessment

Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was used to characterize and quantify a dynamic process--affective instability in borderline personality disorder (BPD). Sixty outpatients (34 with BPD and affective instability; 26 with current depressive disorder but not with BPD or affective instability) carried electronic diaries for approximately 1 month and were randomly prompted to rate their mood state up to 6 times a day. Results indicated that BPD patients (a) did not report significantly different mean levels of positive or negative affect; (b) displayed significantly more variability over time in their positive and negative affect scores; (c) demonstrated significantly more instability on successive scores (i.e., large changes) for hostility, fear, and sadness than did patients with depressive disorders; and (d) were more likely to report extreme changes across successive occasions (>or=90th percentile of change scores across participants) for hostility scores. Results illustrate different analytic approaches to quantifying variability and instability of affect based on intensive longitudinal data. Further, results suggest the promise of electronic diaries for collecting data from individuals in their natural environment for purposes of clinical research and assessment.     

Asymmetry in judgments of personality: others are less differentiated than the self

Previous evidence suggests that judges rely more heavily on implicit personality theories when they rate relatively unfamiliar others. One further implication of this evidence is that correlations among traits should be stronger in other ratings than in self-ratings, particularly when (a) judges lack trait relevant information and/or (b) motivational accuracy is low. We tested these predictions by comparing self- versus other ratings on the Big Five in two studies. Study 1 used previously published data to demonstrate clear self/peer differences in the average relations between Big Five dimensions (excluding Extraversion). Study 2 was based on self- versus other ratings in 12 samples. Overall, the intercorrelations among Big Five traits (excluding Extraversion) tended to be significantly stronger in peer ratings than in self-ratings. The most consistent effect involved the relation between Neuroticism and Agreeableness (overall r=-.43 and -.29 in the peer ratings and self-ratings, respectively). In addition, as expected, the degree of relation among traits varied depending upon the type of target being rated (i.e., spouse vs. dating partner vs. friend vs. stranger). Implications of these findings are discussed.     

Predicting semantic priming at the item level

The current study explores a set of variables that have the potential to predict semantic priming effects for 300 prime-target associates at the item level. Young and older adults performed either lexical decision (LDT) or naming tasks. A multiple regression procedure was used to predict priming based upon prime characteristics, target characteristics, and prime-target semantic similarity. Results indicate that semantic priming (a) can be reliably predicted at an item level; (b) is equivalent in magnitude across standardized measures of priming in LDTs and naming tasks; (c) is greater following quickly recognized primes; (d) is greater in LDTs for targets that produce slow lexical decision latencies; (e) is greater for pairs high in forward associative strength across tasks and across stimulus onset asynchronies (SOAs); (f) is greater for pairs high in backward associative strength in both tasks, but only at a long SOA; and (g) does not vary as a function of estimates from latent semantic analysis (LSA). Based upon these results, it is suggested that researchers take extreme caution in comparing priming effects across different item sets. Moreover, the current findings lend support to spreading activation and feature overlap theories of priming, but do not support priming based upon contextual similarity as captured by LSA.     

Top-down effects of semantic knowledge in visual search are modulated by cognitive but not perceptual load

Moores, Laiti, and Chelazzi (2003) found semantic interference from associate competitors during visual object search, demonstrating the existence of top-down semantic influences on the deployment of attention to objects. We examined whether effects of semantically related competitors (same-category members or associates) interacted with the effects of perceptual or cognitive load. We failed to find any interaction between competitor effects and perceptual load. However, the competitor effects increased significantly when participants were asked to retain one or five digits in memory throughout the search task. Analyses of eye movements and viewing times showed that a cognitive load did not affect the initial allocation of attention but rather the time it took participants to accept or reject an object as the target. We discuss the implications of our findings for theories of conceptual short-term memory and visual attention.     

The role of eye movements in subitizing and counting

Previous work has suggested that eye movements may be necessary for accurate enumeration beyond the subitization range of about 4 items. This study determined the frequency of eye movements normally made during enumeration, their relationship to response times, and whether they are required for accurate performance. This was achieved by monitoring eye movements and comparing performance when observers were allowed to saccade and when they were not. The results showed that (a) there was a sharp increase in saccadic frequency beyond about 4 items (from < 0.2 saccades per item to about 1 per item), and (b) enumeration of fewer than 4 items remained rapid and accurate even when eye movements were prevented, whereas enumeration beyond this became less efficient and sometimes less accurate. The results are discussed in relation to the memory and processing requirements of enumeration tasks.     

How Do Children Stigmatize People With Mental Illness?

A way to promote eliminating stigma surrounding mental illnesses is targeting the phenomenon in children. This study's purpose is to validate models of mental illness stigma on children in Grades 6–8. Children completed the revised Attribution Questionnaire in a pretest of a larger study on a mental health education program. Data from this study permitted testing of roles of demographics in these social cognitive models. Subsequent analyses using manifest model structural equations were mixed, but mostly showed adequate fit for multiple versions of the models. These results suggest that models of blame and dangerousness are relevant to the way 10 to 13-year-olds stigmatize mental illness. Demographics were not found to fit these models satisfactorily. Implications of these findings for stigma-change agenda are discussed.     

is affirmative action still necessary?

The influences of socio‐race, racial identity development, gender, educational level, and age on promotion and compensation decisions by midlevel supervisors in industry were examined in this analogue study of 74 midlevel business and industry supervisors. The participants varied in socio‐racial classifications, gender, educational levels, and age. Results of this study indicated statistically significant differences in promotion rates of female analogue employees, rates of promotion between White male and Black male supervisors, and the rate of promotion when comparing older versus younger supervisors.     

The implementation of routine outcome measures in a Tier 3 Psychological Therapies Service: The process of enhancing data quality and reflections of implementation challenges

Background: The Newham Psychological Therapies Service (PTS) has been using the CORE System of evaluation to demonstrate effectiveness since 2004. More recently there has been the national and local drive to improve outcomes as outlined by a number of Department of Health policies and the Improving Access to Psychological Therapies (IAPT) initiative. Aims: This paper describes how, as a secondary care complex mental health service, we have engaged with the process of outcome measurement through complementing the usage of the CORE System with additional measures forming the service pilot minimum dataset. The process of implementation is outlined along with reflections on the challenges which the service faced in introducing outcome measurement. Findings: Engagement with outcome measurement by a service requires attention to be paid to the organisational and professional aspects and personal resonances for clinicians if it is to become established as a meaningful enterprise within secondary care services. Despite success at this task, challenges remain to the further development of this area of work.