Impulsivity Mediates the Relationship between Future Orientation and Juvenile Deviancy

Both future orientation and impulsivity are intrinsic parts of an adolescent’s self-control, and empirical evidence clearly establishes them as crucial features on the origin of juvenile deviant behavior. However, we do not yet fully understand how these variables relate in explaining deviant conduct. In the present study, we tested a mediation model between these variables among 126 Portuguese adolescents. Findings support the mediation model in analysis, namely that impulsivity fully mediates the effect of future orientation on deviant behavior. In conclusion, our results suggest that lesser future orientated youth develop impulsive behavior which, in turn, explains their higher deviant conduct.     

A test of foreign language acquisition: paired‐association learning

This experiment investigated college student difficulties with foreign language acquisition. We developed a word‐sound, paired‐associates learning test that discriminated 92% of the control participants and 95% of the experimental participants. The results are interpreted in terms of an associative model of foreign language learning disability. We discuss how to integrate the test into a larger diagnostic battery for predicting the facility with which a person will be able to learn a foreign language. Copyright © 2002 John Wiley & Sons, Ltd.     

A note on stove and adding machine arrangement preferences as a function of sex and handedness

Some stove and adding machine arrangements chosen by our subjects were influenced by both their sex and handedness.     

A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial

Death by suicide demonstrates profound personal suffering and societal failure. While basic sciences provide the opportunity to understand biological markers related to suicide, computer science provides opportunities to understand suicide thought markers. In this novel prospective, multimodal, multicenter, mixed demographic study, we used machine learning to measure and fuse two classes of suicidal thought markers: verbal and nonverbal. Machine learning algorithms were used with the subjects’ words and vocal characteristics to classify 379 subjects recruited from two academic medical centers and a rural community hospital into one of three groups: suicidal, mentally ill but not suicidal, or controls. By combining linguistic and acoustic characteristics, subjects could be classified into one of the three groups with up to 85% accuracy. The results provide insight into how advanced technology can be used for suicide assessment and prevention.     

Relation of the Big Five to Biodata and aspects of the self

Two studies examined McCrae and Costa’s system model of personality. Their model suggests the Big Five should have relatively strong associations with life history (measured in Study 1 by Biodata) and with Self-Concept (measured in Study 2 by various Self questionnaires). Study 1—210 participants (143 females) completed Bipolar Big Five Markers and a Biodata inventory. Factor Analyses confirmed the Big Five and revealed seven viable Biodata factors. Multiple regression revealed that most Biodata factors were predicted well by 2 or more Big Five traits. Study 2—199 participants (125 females) completed Bipolar Big Five Markers and an omnibus Self inventory consisting of six previously developed scales. Factor Analyses confirmed the Big Five and revealed eight viable Self factors. Multiple regression revealed that the Self factors were also predicted fairly well by two or more Big Five traits.Both studies found relatively strong associations between the Big Five and the Biodata and Self factors, which lends support to McCrae and Costa’s system model of personality. A consistent pattern of both a primary and secondary trait as joint predictors of Biodata and Self factors suggests that these areas are systematically influenced by multiple traits rather than only single traits.     

Using Structured Telephone Follow‐up Assessments to Improve Suicide‐Related Adverse Event Detection

Adverse event (AE) detection and reporting practices were compared during the first phase of the Emergency Department Safety Assessment and Follow‐up Evaluation (ED‐SAFE), a suicide intervention study. Data were collected using a combination of chart reviews and structured telephone follow‐up assessments postenrollment. Beyond chart reviews, structured telephone follow‐up assessments identified 45% of the total AEs in our study. Notably, detection of suicide attempts significantly varied by approach with 53 (18%) detected by chart review, 173 (59%) by structured telephone follow‐up assessments, and 69 (23%) marked as duplicates. Findings provide support for utilizing multiple methods for more robust AE detection in suicide research.     

Perceived Racism and Suicide Ideation: Mediating Role of Depression but Moderating Role of Religiosity among African American Adults

Suicide is a public health problem for African Americans who are young and of working age. The purpose of this study was to examine mediated and moderated effects of perceived racism on suicide ideation in a community sample of 236 African American men and women. Measures of suicide ideation, depression symptoms, intrinsic/extrinsic religiosity, and perceived racism were administered. Perceived racial discrimination was directly and indirectly associated with suicide ideation. For participants who reported low levels of extrinsic religiosity, the mediated effect of perceived racism (via depression symptoms) was significant. These findings provide some insight into suicide vulnerability for specific subgroups of African Americans.     

Self‐Efficacy to Avoid Suicidal Action: Factor Structure and Convergent Validity among Adults in Substance Use Disorder Treatment

Individuals with substance use disorders (SUDs) are at high risk of suicidal behaviors, highlighting the need for an improved understanding of potentially influential factors. One such domain is self‐efficacy to manage suicidal thoughts and impulses. Psychometric data about the Self‐Efficacy to Avoid Suicidal Action (SEASA) Scale within a sample of adults seeking SUD treatment (N = 464) is provided. Exploratory factor analysis supported a single self‐efficacy construct. Lower SEASA scores, or lower self‐efficacy, were reported in those with more severe suicidal ideation and those with more suicide attempts, providing evidence for convergent validity. Implications of measuring self‐efficacy in the context of suicide risk assessment are discussed.