Distinguishing Between Subgroups of Adolescents Who Self‐Harm

The differences in factors associated with subgroups of adolescents in the continuum of deliberate self‐harm (DSH) phenomena were investigated. In an anonymous self‐report survey of 6,020 adolescents aged 15 and 16 years, 3.2% of adolescents (5.3% females, 1.3% males) reported DSH with intent to die, 2.8% (4.3% females; 1.5% males) reported DSH without intent to die, and 15% (22.4% females; 8.5% males) reported thoughts of DSH without acts. Regression analysis indicated considerable overlap in vulnerability factors along the spectrum of DSH thoughts and acts. A uniquely distinct relationship was found between DSH of a friend and DSH without intent to die on one hand and DSH of a family member with DSH with intent to die on the other. Results indicate that familial and nonfamilial social influences on DSH behavior may be important in designing prevention programs and that educational programs for the promotion of psychological well‐being may be helpful for adolescents at any point along the spectrum of DSH that was examined.     

Preparing Children for Court: Effects of a Model Court Education Program on Children's Anticipatory Anxiety

The current study examined whether a pretrial preparation program, consisting of legal knowledge education, stress inoculation training, and a mock trial, is associated with decreased anticipatory anxiety of child witnesses. One hundred and ninety-three 4- to 17-year-olds who were awaiting impending legal proceedings attended Kids’ Court School in Las Vegas, NV, one to two weeks before their court appearances. Participants completed a measure of anticipatory court-related anxiety before and after the intervention. As predicted, children's anticipatory anxiety decreased significantly from pretest to posttest. Results demonstrate the promise of a brief, unbiased, standardized program for reducing system-induced stress on child witnesses, while maintaining the integrity of the legal process. This study serves as a springboard to guide future research, practice, policy, and implementation on a larger scale. Copyright © 2015 John Wiley & Sons, Ltd.     

358,534 nonwords: The ARC Nonword Database

The authors present a model of the phonotactic and orthographic constraints of Australian and Standard Southern British English monosyllables. This model is used as the basis for a web-based psycholinguistic resource, the ARC Nonword Database, which contains 358,534 monosyllabic nonwords--48,534 pseudohomophones and 310,000 non-pseudohomophonic nonwords. Items can be selected from the ARC Nonword Database on the basis of a wide variety of properties known or suspected to be of theoretical importance for the investigation of reading.     

The perception of face gender: The role of stimulus structure in recognition and classification

The perception of face gender was examined in the context of extending “face space” models of human face representations to include the perceptual categories defined by male and female faces. We collected data on the recognizability, gender classifiability (reaction time to classify a face as male/female), attractiveness, and masculinity/femininity of individual male and female faces. Factor analyses applied separately to the data for male and female faces yielded the following results. First, for both male and female faces, the recognizability and gender classifiability of faces were independent—a result inconsistent with the hypothesis that both recognizability and gender classifiability depend on a face’s “distance” from the subcategory gender prototype. Instead, caricatured aspects of gender (femininity/masculinity ratings) related to the gender classifiability of the faces. Second, facial attractiveness related inversely to face recognizability for male, but not for female, faces—a result that resolves inconsistencies in previous studies. Third, attractiveness and femininity for female faces were nearly equivalent, but attractiveness and masculinity for male faces were not equivalent. Finally, we applied principal component analysis to the pixel-coded face images with the aim of extracting measures related to the gender classifiability and recognizability of individual faces. We incorporated these model-derived measures into the factor analysis with the human rating and performance measures.