Over the last century, IQ scores have been steadily rising, a phenomenon dubbed the Flynn effect. Because of the Flynn effect, IQ tests are periodically renormed, making them harder. Given that eligibility for mental retardation (MR) services relies heavily on IQ scores, renormed tests could have a significant impact on MR placements. In longitudinal IQ records from 9 sites around the country, students in the borderline and mild MR range lost an average of 5.6 points when retested on a renormed test and were more likely to be classified MR compared with peers retested on the same test. The magnitude of the effect is large and affects national policies on education, social security, the death penalty, and the military. This paper reports the perceptions of professionals as they relate to IQ score fluctuations in normal, borderline, and/or MR populations.
The prevalence of Autism and other Autism Spectrum Disorders (ASDs) has increased dramatically in recent years. The criterion for a clinical diagnosis of Autism, however, is independent from the special education eligibility requirements for Autism services. While the DSM-IV-TR provides a nationally-accepted definition for Autism and ASD, under federal law, the special education criteria for Autism services can vary from state to state. By analyzing federal, special education child-count data as well as each state's legal code, this study examines and compares eligibility criteria in all 50 states and Washington DC. Our results reveal inter-state variability in Autism eligibility requirements within special education, and this variability can have an impact on prevalence rates. Implications and recommendations for researchers and practitioners in clinical psychology, public health, education, pediatrics, and public policy are discussed.
Using survey data, the authors examined the relationship between intensity (as opposta' to duration) of a technology-focused professional development program and specific participant characteristics in predicting successful outcomes. The four participant characteristi;s ciJO!en were: teachers'feelings of preparedness to support student technology use, teachers'perceprions of the usefUlness of creating technology-based projects with students, teachers' perception! of the relevance of the pedagogical approaches emphasized, and teachers' prior use ojfearAxed software. Two outcomes were defined· (1) Use of new software applications/technology _;kills and (2) implementation of new technology-rich lessons. Analyses indicated different combinarions ofpersonal characteristics predicted each outcome. In addition, intensity of the program only predicted the latter outcome. Implications of this research are discussed within the framervork of the professional development literature. (
The authors attempted to use scores on the Video Suggestibility Scale for Children (VSSC, M. H. Scullin & S. J. Ceci, 2001) to predict 50 preschool children's performance during a field study in which they were interviewed suggestively 4 times about both a true event and a suggested event. Among the 25 children over age 4 years 6 months, tendencies on the VSSC to respond affirmatively to suggestive questions ("yield"), change answers in response to negative feedback ("shift"), and the sum of these ("total suggestibility") were all related to lack of accuracy about the true event in the field study and to both accuracy and lack of accuracy about the suggested event. Results support a 2-factor model of suggestibility.
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