Detecting intra- and inter-categorical structure in semantic concepts using HICLAS

In this paper, we investigate the hypothesis that people use feature correlations to detect inter- and intra-categorical structure. More specifically, we study whether it is plausible that people strategically look for a particular type of feature co-occurrence that can be represented in terms of rectangular patterns of 1s and 0s in a binary feature by exemplar matrix. Analyzing data from the Animal and Artifact domains, we show that the HICLAS model, which looks for such rectangular structure and which therefore models a cognitive capacity of detecting feature co-occurence in large data bases of features characterizing exemplars, succeeds rather well in predicting inter- and intra-categorical structure.     

Developing a screening instrument and at-risk profile for nonsuicidal self-injurious behavior in college women and men

Archival data (N = 1,048 women, 1,136 men) from a mental health survey of college students were used to investigate incidence of nonsuicidal self-injury (NSSI), including cutting. Significant levels (defined as 4-5 lifetime incidents) were found in 9.3% of women and 5.3% of men. The Counseling Center Assessment for Psychological Symptoms (a global symptom inventory) and an assessment of trauma had been field tested with this sample. We randomly partitioned half of these data into a holdout sample and used the remainder to develop an NSSI screening inventory that included (a) 5 women's screening items, including 1 item to assess trauma experienced; (b) 11 men's screening items; and (c) 12 items common to men and women, including depression, dissociation, anger, unwanted thoughts, nightmares or flashbacks, and having witnessed trauma. Logistic regression and receiver-operating characteristic curve analysis suggested the inventory significantly discriminated NSSI men and women in the holdout sample, p < .001. Cutoff scores were identified to correctly classify about 48% of the true positive male and female NSSI cases, with false positive rates of 13.2% and 8.4% for women and men, respectively.     

Selective exposure: The impact of framing information search instructions as gains and losses

Previous research has found that people prefer information that supports rather than conflicts with their decisions (selective exposure). In the present paper, we investigated whether selective exposure was influenced by the method of information collection. Based on Prospect Theory we hypothesized that the method of selection (MOS), where simply selected pieces of information are considered, would lead to a higher selective exposure compared to the method of elimination (MOE), where pieces of information are rejected and the remaining pieces of information are considered. In fact, we found that participants collected information more selectively when they were instructed to use the MOS compared to the MOE. Copyright © 2009 John Wiley & Sons, Ltd.     

The relationship between competitive anxiety and imagery use

Abstract

Imagery has been proposed to be an effective strategy for controlling levels of competitive anxiety, but little b known about how imagery functions to achieve this. This study explored the relationship between imagery use. imagery ability. competitive anxiety and performance. Fifty-seven Junior North American Roller Skating Championship competitors completed the revised Movement Imagery Questionnaire (MIQ-R), the Sport Imagery Questionnaire (SIQ), and the Competitive State Anxiety Inventory—2 (CSAI-2). Results from stepwise multiple regression analyses revealed visual imagery ability and motivational arousal imagery to be predictors of cognitive state anxiety. Visual imagery ability also predicted somatic state anxiety. while motivational mastery imagery was a predictor of self-confidence. With respect to the relationship between imagery use and imagery ability, high imagery ability was associated with higher imagery use. Finally, self-confidence and kinesthetic imagery ability scores correctly classified a majority of the subjects as medalists versus non-medalists. These results suggest that imagery can be used to help control competitive anxiety levels and enhance self-confidence.     

Different Types of Religious/Spiritual Well-Being in Relation to Personality and Subjective Well-Being

In this study the authors attempt to present different types of Religious/Spiritual Well-Being (RSWB) and discuss their relation to personality and psychological well-being. The Multidimensional Inventory for Religious/Spiritual Well-Being 48 is employed for this study, which consists of 6 subscales. To find different types of RSWB, an agglomerative cluster analysis on these subscales was performed based on the responses obtained in a nonclinical adult sample (n = 463). A 4-cluster solution was accepted. The clusters were labeled as Religious/Spiritual High, Religiously Oriented, Existentially Oriented, and Religious/Spiritual Low, and were found to be substantially related to Sense of Coherence (n = 263) and Six Factors of Personality (n = 200) in two different subsamples. By presenting a first empirical model for a 4-field typology of RSWB, we hope to further contribute to the ongoing discussion on how to deal with religious/spiritual issues in personality research.     

Selective exposure among advisors: the impact of impression motivation

Audience confirmation bias (ACB) refers to the extent to which people prefer information supporting (vs. conflicting with) their audience's views. In two studies, we showed that advisors shifted their ACB toward the needs of their advisees (i.e., audience): When advisors were led to believe that their advisees wanted to defend their views, the ACB was higher compared with when advisees were open minded for critique. Study 2 indicated that this pattern occurred because advisors wanted to have a pleasant interaction with their advisees (impression motivation): Whereas impression‐motivated advisors exhibited a stronger ACB when they were asked to give advice to a defensive (vs. open‐minded) advisee, accuracy‐motivated advisors showed a balanced ACB, regardless of their advisee's needs.     

Different goals,different predictions: Accuracy and bias in financial planning for events and time periods

Personal spending predictions are sometimes optimistically biased because predictors focus on their current savings goals. The present studies explored the role of savings goals in prediction by comparing spending predictions for time periods and discrete events. Contemplating a concrete event may elicit specific goals that compete with a focus on savings goals. Consistent with this hypothesis, Studies 1 and 2 revealed that participants relied less on savings goals, and were less biased, when predicting event spending rather than weekly spending. Study 3 demonstrated the causal impact of focusing on goals that compete with savings goals: Participants induced to focus on competing goals predicted to spend more money next week, and relied less on savings goals to generate their predictions.