Intervention de la police en France,dans le milieu familial,en cas de mauvais traitements à enfants

Intervention of Police Forces in France in the Family Setting When Child Abuse and Neglect Are Noticed. French police forces, in charge of safety of persons and effects, are accustomed to intervening in family circles when child abuse occurs, and, also, each time a child's security and health are seriously threatened. They can intervene on their own, or respond to orders from an attorney or judge for children (Procureur de la République, Juge d'Instruction, Juge des Enfants). Their investigation is more easily accomplished when child abuse and neglect have just been discovered and traces of violence are still noticeable (Flagrant délit). They establish judicial procedures concerning offences committed against children, especially child abuse and neglect. But they also conduct inquiries of a social nature in order to inform a magistrate of a dangerous situation or behavior of young people under 18. This enables the judge for children to prescribe educative assistance measures. Doctors and social workers are still reluctant to notify policemen and judges, although they do not have to respect professional secrecy in any cases of injuries against children. In order to improve prevention and protection of victims of child abuse and neglect, it is truly necessary to coordinate activities of all those who intervene in pathologic family behavior: doctors, social workers, judges and policemen.     

The role of the teacher with substance-abusing adolescents in secondary schools

Before choosing to become involved with students who currently are abusing psychoactive substances, teachers must consider not only the potential consequences and payoffs to them professionally, but also what specifically they can do to help adolescents. This article presents some of the philosophical problems, and suggests potential solutions of how to relate to students who engage in potentially self-destructive, drug-related behavior. There is a need for teachers to become quasi-counselors and consultants, since they are the first line of defense against substance use and abuse.     

Responsibility of learning: a cross-cultural examination of the relationship of grit,motivational belief and self-regulation among college students in the US,UAE and Turkey

Learning Environments Research - The present study explored the relationship between grit, motivational beliefs and self-regulation among undergraduate students in the United States, the United...     

Examining Chi-Square Test Statistics Under Conditions of Large Model Size and Ordinal Data

This study examined the effect of model size on the chi-square test statistics obtained from ordinal factor analysis models. The performance of six robust chi-square test statistics were compared across various conditions, including number of observed variables (p), number of factors, sample size, model (mis)specification, number of categories, and threshold distribution. Results showed that the unweighted least squares (ULS) robust chi-square statistics generally outperform the diagonally weighted least squares (DWLS) robust chi-square statistics. The ULSM estimator performed the best overall. However, when fitting ordinal factor analysis models with a large number of observed variables and small sample size, the ULSM-based chi-square tests may yield empirical variances that are noticeably larger than the theoretical values and inflated Type I error rates. On the other hand, when the number of observed variables is very large, the mean- and variance-corrected chi-square test statistics (e.g., based on ULSMV and WLSMV) could produce empirical variances conspicuously smaller than the theoretical values and Type I error rates lower than the nominal level, and demonstrate lower power rates to reject misspecified models. Recommendations for applied researchers and future empirical studies involving large models are provided.     

Self-concept development and educational degree attainment

The present study explores changes in the academic, social, and artistic self-concept of college students over a nine-year period. While the findings demonstrate a positive relationship between the educational degree attainment levels of students and their formation of a more healthy self-concept, the findings further indicate that the relationship is not consistent for males and females. In general, the findings suggest that the collegiate experience does not diminish self-concept gender differences that exist at the time of matriculation. The degree to which changes in students' self-concept is related to selected aspects of their collegiate experience and characteristics of their undergraduate institutions is also explored. The findings indicate that changes in students' self-concept is related to their level of social and academic integration during their undergraduate careers and to the size and selectivity of colleges they attend. The implications of these findings for enhancing students' self-concept during the college years are discussed.     

Assessing Differential Prediction of College Grades by Race/Ethnicity with a Multilevel Model

Previous research notes the importance of understanding racial/ethnic differential prediction of college grades across multiple institutions. Institutional variation in selection indices is especially important given some states' laws governing public institutions' admissions decisions. This paper employed multilevel moderated multiple regression to study the variation of selection indices across 30 institutions and the accuracy of selection indices in predicting college grades for students of different racial/ethnic backgrounds. Several benefits of multilevel models for cross-institutional differential prediction studies were described and include: controlling for institutional differences in range restriction, providing reliability estimates of least squares estimates, and adjusting criterion scores for differences in coursework difficulty. The findings from this study provide evidence of institutional variation in selection indices, which challenges current laws aimed at standardizing them. Specifically, there was evidence that the predictor slope coefficients varied across institutions, in addition to the estimates that measured intercept differences for African and Asian American students. Across universities, the results mirrored previous findings: high school grade point average (GPA) differentially predicted grades for African Americans, SAT verbal scores differentially predict grades for Asian Americans, and SAT math scores were better predictors of Asian Americans' grades.