The Effects of Curriculum Tracking on Women\u27s Occupational Outcomes: a Test of the Correspondence Principle.

In recent years, Marxist theories have challenged the traditional, meritocratic perspective dominant in the sociology of education. The meritocracy assumes that schools, like the larger society, are based on the premise of equal opportunity; success in school is the result of hard work and good grades, which lead to good jobs and good incomes. Bowles and Gintis, among other revisionists, disagree arguing that the structure of education, sorting students into segregated, hierarchical curriculum tracks, mirrors the structure of the capitalist workplace and reproduces the existing class system such that the most advantaged persons and groups continue to fare well while the disadvantaged continue to fare poorly. This research tests some of the propositions of the Marxist-oriented correspondence principle of Bowles and Gintis. Previous research shows that the vocational track stresses such behaviors as submission to authority and dependability and does little to prepare students for college--characteristics highly suitable for manual class occupations. The academic track prepares students for higher education and emphasizes independent and symbolic learning--skills required of mental class jobs. Studies also show that minorities and working class students are over-represented in the vocational track whereas middle class students are over-represented in the academic track. Using a national sample of women seven years after high school, results of log-linear logit analysis indicate that tracking facilitates reproduction of a dichotomous categorization of class. For the manual class, reproduction is enhanced by student\u27s participation in the vocational education track. In the mental class, however, reproduction is largely a consequence of being in the academic program. Other variables known to affect women\u27s occupational position also vary by track. Women in the vocational track are more likely to have children, less likely to be single, have lower self-esteem, have traditional sex role attitudes, and less likely to achieve higher education than women from the academic track. Though social mobility occurs, hypotheses drawn from the correspondence principle were supported

Setting and Achieving Appropriate Expectations for Faculty Performance

Evaluating colleagues is perhaps the most intimidating task for chair. This presentation aimsto: identify best practices for setting and meeting expectations for faculty performance; understand the importance of faculty expectations and the review process; and encourage accepting and sharing responsibility for the process. Interactive scenarios will be presented

Effects of atomoxetine on growth in children with attention-deficit/hyperactivity disorder following up to five years of treatment.

OBJECTIVE: To examine the effects on growth of long-term pharmacological treatment for attention-deficit/hyperactivity disorder (ADHD), we present findings from an ongoing 5-year study of the efficacy and safety of treatment with atomoxetine. METHODS: North American patients, 6-17 years old at study entry (N = 1,312) and with Diagnostic and Statistical Manual of Mental Disorders,4th edition (DSM-IV) ADHD, were studied under open-label atomoxetine treatment. Sixty-one were studied up to 5 years. RESULTS: After 1 month\u27s treatment, patients weighed less than expected from their starting percentiles relative to population norms, with a maximum shortfall at 15 months and a return to expected weight by 36 months. Patients were slightly shorter than expected after 12 months, reaching a maximum shortfall at 18 months and returning to expected height by 24 months. Patients in the top quartile for body mass index (BMI) or weight at baseline, and those in the third quartile for height, showed 5-year decreases from expected values. Those below median height at baseline showed increases relative to expected values. CONCLUSIONS: These interim results indicate that continuous atomoxetine treatment for up to 5 years has little or no long-term effect on juvenile growth and final stature for most patients, although persistent decreases from expected may occur in some patients who are larger than average before treatment

Baseline values from the electrocardiograms of children and adolescents with ADHD

<p>Abstract</p> <p>Background</p> <p>An important issue in pediatric pharmacology is the determination of whether medications affect cardiac rhythm parameters, in particular the QT interval, which is a surrogate marker for the risk of adverse cardiac events and sudden death. To evaluate changes while on medication, it is useful to have a comparison of age appropriate values while off medication. The present meta-analysis provides baseline ECG values (i.e., off medication) from approximately 6000 children and adolescents with attention-deficit/hyperactivity disorder (ADHD).</p> <p>Methods</p> <p>Subjects were aged 6–18 years and participated in global trials within the atomoxetine registration program. Patients were administered a 12-lead ECG at study screening and cardiac rhythm parameters were recorded. Baseline QT intervals were corrected for heart rate using 3 different methods: Bazett's, Fridericia's, and a population data-derived formula.</p> <p>Results</p> <p>ECG data were obtained from 5289 North American and 641 non-North American children and adolescents. Means and percentiles are presented for each ECG measure and QTc interval based on pubertal status as defined by age and sex. Prior treatment history with stimulants and racial origin (Caucasian) were each associated with significantly longer mean QTc values.</p> <p>Conclusion</p> <p>Baseline ECG and QTc data from almost 6000 children and adolescents presenting with ADHD are provided to contribute to the knowledge base regarding mean values for pediatric cardiac parameters. Consistent with other studies of QT interval in children and adolescents, Bazett correction formula appears to overestimate the prevalence of prolonged QTc in the pediatric population.</p

Time and Encoding Effects in the Concealed Knowledge Test

Although the traditional “lie detector” test is used frequently in forensic contexts, it has (like most test of deception) some limitations. The concealed knowledge test (CKT) focuses on participants’ recognition of privileged knowledge rather than lying per-se and has been studied extensively using a variety of measures. A “guilty” suspect’s interaction with and memory of crimescene items may vary. Furthermore, memory for crimescene items may diminish over time. The interaction of encoding quality and test delay on CKT efficiency has been previously implied, but not yet demonstrated. We used a response-time based CKT to detect concealed knowledge from shallow and deep study procedures after 10-min, 24-h, and 1-week delays. Results show that more elaborately encoded information afforded higher detection accuracy than poorly encoded items. Although classification accuracy following deep study was unaffected by delay, detection of poorly elaborated information was initially high, but compromised after 1 week. Thus, choosing optimal test items requires considering both test delay and initial encoding level

Reaching the Hard-to-Reach: A Probability Sampling Method for Assessing Prevalence of Driving under the Influence after Drinking in Alcohol Outlets

Drinking alcoholic beverages in places such as bars and clubs may be associated with harmful consequences such as violence and impaired driving. However, methods for obtaining probabilistic samples of drivers who drink at these places remain a challenge – since there is no a priori information on this mobile population – and must be continually improved. This paper describes the procedures adopted in the selection of a population-based sample of drivers who drank at alcohol selling outlets in Porto Alegre, Brazil, which we used to estimate the prevalence of intention to drive under the influence of alcohol. The sampling strategy comprises a stratified three-stage cluster sampling: 1) census enumeration areas (CEA) were stratified by alcohol outlets (AO) density and sampled with probability proportional to the number of AOs in each CEA; 2) combinations of outlets and shifts (COS) were stratified by prevalence of alcohol-related traffic crashes and sampled with probability proportional to their squared duration in hours; and, 3) drivers who drank at the selected COS were stratified by their intention to drive and sampled using inverse sampling. Sample weights were calibrated using a post-stratification estimator. 3,118 individuals were approached and 683 drivers interviewed, leading to an estimate that 56.3% (SE = 3,5%) of the drivers intended to drive after drinking in less than one hour after the interview. Prevalence was also estimated by sex and broad age groups. The combined use of stratification and inverse sampling enabled a good trade-off between resource and time allocation, while preserving the ability to generalize the findings. The current strategy can be viewed as a step forward in the efforts to improve surveys and estimation for hard-to-reach, mobile populations

Evidence-based Kernels: Fundamental Units of Behavioral Influence

This paper describes evidence-based kernels, fundamental units of behavioral influence that appear to underlie effective prevention and treatment for children, adults, and families. A kernel is a behavior–influence procedure shown through experimental analysis to affect a specific behavior and that is indivisible in the sense that removing any of its components would render it inert. Existing evidence shows that a variety of kernels can influence behavior in context, and some evidence suggests that frequent use or sufficient use of some kernels may produce longer lasting behavioral shifts. The analysis of kernels could contribute to an empirically based theory of behavioral influence, augment existing prevention or treatment efforts, facilitate the dissemination of effective prevention and treatment practices, clarify the active ingredients in existing interventions, and contribute to efficiently developing interventions that are more effective. Kernels involve one or more of the following mechanisms of behavior influence: reinforcement, altering antecedents, changing verbal relational responding, or changing physiological states directly. The paper describes 52 of these kernels, and details practical, theoretical, and research implications, including calling for a national database of kernels that influence human behavior

Introduction and validation of Psychopathic Personality Traits Scale (PPTS) in a large prison sample

Purpose: The aim of this study was to create and validate a brief self-report scale of psychopathic personality traits for research purposes which would grasp the essence of a psychopathic personality, regardless of respondents’ age, gender, cultural background, and criminal history. Methods: The Psychopathic Personality Traits Scale (PPTS), The Measure of Criminal Social Identity, Self-Esteem Measure for Criminals, The Child Sexual Abuse Myth Scale, Attitudes Towards Male Sexual Dating Violence, and Lie Scale were administered to 1,794 prisoners systematically sampled from 10 maximum- and medium-security prisons. Dimensionality and construct validity of the PPTS was investigated using traditional CFA techniques, along with confirmatory bifactor analysis and multitrait-multimethod modelling (MTMM). Seven alternative models of the PPTS were specified and tested using Mplus with WLSMV estimation. Results: MTMM model of PPTS offered the best representation of the data. The results suggest that the PPTS consists of four subscales (affective responsiveness, cognitive responsiveness, interpersonal manipulation, and egocentricity) while controlling for two method factors (knowledge/skills and attitudes/beliefs). Good composite reliability and differential predictive validity was observed. Conclusion: This brief measure of psychopathic traits uncontaminated with behavioural items can be used in the same way among participants with and without criminal history