Proactive, early screening to detect behaviorally at-risk students: Issues, approaches, emerging innovations, and professional practices

This article provides a review of current practices and tools used in the proactive screening of behaviorally at-risk students within the context of schooling. While there are many obstacles to the early detection of vulnerable students, some recent developments have helped make educators more receptive to early identification and prevention approaches. In addition to describing current best practices, this article reviews promising innovations in screening and early identification that the authors believe are worth considering and whose structural characteristics, required accommodations, and critical features may make them more acceptable to educational users. Implications for the training of school psychologists in the screening and early identification of high-risk students are reviewed and recommendations offered for future research.     

Mathematical skill in individuals with Williams syndrome: evidence from a standardized mathematics battery

Williams syndrome (WS) is a developmental disorder associated with relatively spared verbal skills and severe visuospatial deficits. It has also been reported that individuals with WS are impaired at mathematics. We examined mathematical skills in persons with WS using the second edition of the Test of Early Mathematical Ability (TEMA-2), which measures a wide range of skills. We administered the TEMA-2 to 14 individuals with WS and 14 children matched individually for mental-age on the matrices subtest of the Kaufman Brief Intelligence Test. There were no differences between groups on the overall scores on the TEMA-2. However, an item-by-item analysis revealed group differences. Participants with WS performed more poorly than controls when reporting which of two numbers was closest to a target number, a task thought to utilize a mental number line subserved by the parietal lobe, consistent with previous evidence showing parietal abnormalities in people with WS. In contrast, people with WS performed better than the control group at reading numbers, suggesting that verbal math skills may be comparatively strong in WS. These findings add to evidence that components of mathematical knowledge may be differentially damaged in developmental disorders.     

Sex Differences Among Personality Correlates of Mathematical Ability in High School Seniors

To help explain female inferiority in mathematical performance, sex differences in personality correlates of mathematical ability were examined. Three instruments, Rotter's I-E Scale, Miller Adult Locus of Evaluation Scale, and Byrd's Attitude Concerning Life and Self were administered to measure four personality factors: locus of control, locus of evaluation, identity confusion associated with resolution of the adolescent identity crisis, and self-esteem. Each personality score was correlated separately by sex with Scholastic Aptitude Test mathematical and verbal scores. The sample included 68 females and 63 males, randomly selected from college-bound seniors in a predominantly white, middle-class, suburban high school, chosen to limit the effects of social, economic, racial and educational differences. Two variables were partialed out for control purposes: number of mathematics courses completed and IQ Otis-Lennon Mental Ability Test. For females only, internal locus of control and self-esteem were significant correlates of mathematical ability, and were seen as facilitators of female mathematical functioning in the face of environmental impediments to female mathematical performance.     

An Empirical Investigation of Critical Success Factors in the Personal Selling Process for Homogenous Goods

This study uses a Critical Success Factor approach to evaluate a representative set of 51 selling techniques with the intent of determining what techniques are more critical to sales success for salespeople who sell homogenous products than others and what techniques are associated with failure. A set of twelve techniques were identified that distinguished salespeople in the top decile from those in the bottom decile.     

The Relationship Between Attitudinal and Behavioral Measures of Sex Preference

This study examined the relationship between an attitudal and a behavioral measure of sex preference for offspring. In addition to looking at the relationship between these measures, their relationship to other variables was also investigated. Pregnant women and their spouses (N = 56) responded to a questionnaire measure of sex preference, a behavioral measure of sex preference, Bern's Sex Role Inventory, and the Attitudes Towards Women Scale. The behavioral and questionnaire measures of sex preference were significantly related, indicating that in the area of preferred sex of firstborn children, attitudinal measures appear to be highly related to behavioral measures. Contrary to prediction, androgynous and nonandrogyn-ous persons did not differ significantly on preferred sex of child. However, persons with a more positive attitude toward women's movement ideology showed significantly less male preference than persons with less positive attitudes toward women's movement ideology.     

Priming interdependence affects processing of context information in causal inference—But not how you might think

Cultural mindset is related to performance on a variety of cognitive tasks. In particular, studies of both chronic and situationally-primed mindsets show that individuals with a relatively interdependent mindset (i.e., an emphasis on relationships and connections among individuals) are more sensitive to background contextual information than individuals with a more independent mindset. Two experiments tested whether priming cultural mindset would affect sensitivity to background causes in a contingency learning and causal inference task. Participants were primed (either independent or interdependent), and then saw complete contingency information on each of 12 trials for two cover stories in Experiment 1 (hiking causing skin rashes, severed brakes causing wrecked cars) and two additional cover stories in Experiment 2 (school deadlines causing stress, fertilizers causing plant growth). We expected that relative to independent-primed participants, those interdependent-primed would give more weight to the explicitly-presented data indicative of hidden alternative background causes, but they did not do so. In Experiment 1, interdependents gave less weight to the data indicative of hidden background causes for the car accident cover story and showed a decreased sensitivity to the contingencies for that story. In Experiment 2, interdependents placed less weight on the observable data for cover stories that supported more extra-experimental causes, while independents' sensitivity did not vary with these extra-experimental causes. Thus, interdependents were more sensitive to background causes not explicitly presented in the experiment, but this sensitivity hurt rather than improved their acquisition of the explicitly-presented contingency information.     

New evidence for chunk-based models in word segmentation

There is large evidence that infants are able to exploit statistical cues to discover the words of their language. However, how they proceed to do so is the object of enduring debates. The prevalent position is that words are extracted from the prior computation of statistics, in particular the transitional probabilities between syllables. As an alternative, chunk-based models posit that the sensitivity to statistics results from other processes, whereby many potential chunks are considered as candidate words, then selected as a function of their relevance. These two classes of models have proven to be difficult to dissociate. We propose here a procedure, which leads to contrasted predictions regarding the influence of a first language, L1, on the segmentation of a second language, L2. Simulations run with PARSER (Perruchet & Vinter, 1998), a chunk-based model, predict that when the words of L1 become word-external transitions of L2, learning of L2 should be depleted until reaching below chance level, at least before extensive exposure to L2 reverses the effect. In the same condition, a transitional-probability based model predicts above-chance performance whatever the duration of exposure to L2. PARSER's predictions were confirmed by experimental data: Performance on a two-alternative forced choice test between words and part-words from L2 was significantly below chance even though part-words were less cohesive in terms of transitional probabilities than words.