Taxometric analysis of the antisocial features scale of the personality assessment inventory in federal prison inmates

The Antisocial Features (ANT) scale of the Personality Assessment Inventory (PAI) was subjected to taxometric analysis in a group of 2,135 federal prison inmates. Scores on the three ANT subscales-Antisocial Behaviors (ANT-A), Egocentricity (ANT-E), and Stimulus Seeking (ANT-S)-served as indicators in this study and were evaluated using the following taxometric procedures: mean above minus below a cut (MAMBAC), maximum eigenvalue (MAXEIG), and latent mode factor analysis (L-Mode). Objective and subjective evaluation of the results revealed consistent support for a dimensional interpretation of latent structure across the di ferent taxometric procedures as well as across gender, race, and security level. As a dimensional construct, antisocial personality disorder arranges respondents along one or more quantitative dimensions (degree of antisociality), rather than assigning them to qualitatively distinct categories (antisocial or not antisocial).     

School readiness and later achievement

Using 6 longitudinal data sets, the authors estimate links between three key elements of school readiness--school-entry academic, attention, and socioemotional skills--and later school reading and math achievement. In an effort to isolate the effects of these school-entry skills, the authors ensured that most of their regression models control for cognitive, attention, and socioemotional skills measured prior to school entry, as well as a host of family background measures. Across all 6 studies, the strongest predictors of later achievement are school-entry math, reading, and attention skills. A meta-analysis of the results shows that early math skills have the greatest predictive power, followed by reading and then attention skills. By contrast, measures of socioemotional behaviors, including internalizing and externalizing problems and social skills, were generally insignificant predictors of later academic performance, even among children with relatively high levels of problem behavior. Patterns of association were similar for boys and girls and for children from high and low socioeconomic backgrounds.     

A 20-year longitudinal study of body weight, dieting, and eating disorder symptoms

The article describes a 20-year longitudinal study of body weight, dieting, and disordered eating in women and men. Body weight increased significantly over time in both women and men. However, women's weight perception and dieting frequency decreased over time, whereas men's weight perception and dieting frequency increased, and disordered eating declined more in women than in men from late adolescence to midlife. In both women and men, changes in weight perception and dieting frequency were associated with changes in disordered eating. In addition, adult roles such as marriage and parenthood were associated with significant decreases in disordered eating from late adolescence to midlife in women, whereas few associations were observed in men. Despite different developmental trajectories, women demonstrated more weight dissatisfaction, dieting, and disordered eating compared with men across the period of observation.     

Choosing the best method for local validity estimation: relative accuracy of meta-analysis versus a local study versus Bayes-analysis

This study assessed the relative accuracy of 3 techniques--local validity studies, meta-analysis, and Bayesian analysis--for estimating test validity, incremental validity, and adverse impact in the local selection context. Bayes-analysis involves combining a local study with nonlocal (meta-analytic) validity data. Using tests of cognitive ability and personality (conscientiousness) as predictors, an empirically driven selection scenario illustrates conditions in which each of the 3 estimation techniques performs best. General recommendations are offered for how to estimate local parameters, based on true population variability and the number of studies in the meta-analytic prior. Benefits of empirical Bayesian analysis for personnel selection are demonstrated, and equations are derived to help guide the choice of a local validity technique (i.e., meta-analysis vs. local study vs. Bayes-analysis).     

Eating disorder diagnoses: empirical approaches to classification

Decisions about the classification of eating disorders have significant scientific and clinical implications. The eating disorder diagnoses in the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) reflect the collective wisdom of experts in the field but are frequently not supported in empirical studies and do not capture the disorders of eating experienced by most people with an eating disorder. Statistical approaches to classification such as latent class analysis and taxometrics can help to create a classification system with greater scientific validity and clinical utility. The field would benefit from direct empirical comparisons of different classification schemes with various clinical and scientific validators. Such studies would enable the creators of the next DSM eating disorder classification to increase understanding of the advantages and disadvantages associated with choosing various diagnostic criteria sets for the eating disorders.     

EFFECTS OF EXPECTATIONS AND BODILY SENSATIONS ON SELF-REPORTS OF PREMENSTRUAL SYMPTOMS

Two experiments examined expectations and bodily sensations in premenstrual symptom reports. Women took a fictitious test that indicated they were either "premenstrual" or "intermenstrual." In Experiment 1, 48 women were studied during their premenstrual phase. In Experiment 2, 82 women were studied during either their premenstrual or intermenstrual phase. Individual differences in retrospective premenstrual distess were assessed prior to the experiments. Both experiments revealed that the higher the woman's retrospective reports of premenstrual distress, the more symptoms she reported in the lab during her premenstrual phase, regardless of what the test indicated. However, women who were told they were premenstrual reported greater symptoms than women who were told they were intermenstrual. In summary, although expectations affect women's symptom reports regardless of their actual phase and history of reported symptoms, premenstrual symptom reports cannot be dismissed as simply expectations, because some women do experience greater symptoms as they approach menstruation.     

Relationship arguments: An interactionist elaboration of speech acts

An earlier version of this paper was presented at the annual meeting of the Speech Communication Association, Boston, MA, November 1987.     

Where do counsellors in private practice receive their support? A pilot study

Background: Previous research suggests that independent practitioners should ensure that they attend to self-care, and the requirement for self-care is written into ethical practice requirements. Aims: To explore whether or how counsellors in private practice received support, and if so from where. Method: A survey questionnaire containing 29 questions was sent to 525 recipients. Results: 31 questionnaires were completed. The results from these questionnaires indicated that support was primarily received through supervision. Discussion: The support needs of private practitioners are discussed in the context of a very low response rate. The researcher considers factors that might have led to this response rate, as well as reflecting on the study design.