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Alamiri, Bibi; Nelson, Charles; Fitzmaurice, Garrett M.; Murphy, Jane M.; Gilman, Stephen E. – Developmental Psychology, 2018
Neurological soft signs (NSSs), minor neurological abnormalities, have been implicated as risk factors for poor cognitive performance in small-scale studies. Here we investigate the associations between NSSs and multiple domains of cognitive performance in a large, population-based cohort and evaluate sex differences in these associations. We…
Descriptors: Neurological Impairments, Cognitive Ability, Gender Differences, Young Children
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Sasson, Noah J.; Morrison, Kerrianne E. – Autism: The International Journal of Research and Practice, 2019
A practical consideration for many intellectually able adults with autism spectrum disorder (ASD) is whether to disclose their diagnostic status or try to mask their autistic characteristics to avoid judgment and discrimination. Here, we assessed first impressions of adults with ASD and typically developing controls (N = 40) made by typically…
Descriptors: Adults, Autism, Pervasive Developmental Disorders, Self Disclosure (Individuals)
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Williams, Diane L.; Minshew, Nancy J.; Goldstein, Gerald – Autism: The International Journal of Research and Practice, 2015
More than 20?years ago, Minshew and colleagues proposed the Complex Information Processing model of autism in which the impairment is characterized as a generalized deficit involving multiple modalities and cognitive domains that depend on distributed cortical systems responsible for higher order abilities. Subsequent behavioral work revealed a…
Descriptors: Autism, Pervasive Developmental Disorders, Late Adolescents, Adults
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Humpage, Sarah; Álvarez-Marinelli, Horacio – Society for Research on Educational Effectiveness, 2014
Computers have taken an increasingly prominent role in education around the world in recent years in developed and developing countries alike. As developing country governments have turned their focus from increasing enrollment to improving the quality of education in their schools, many have made access to computers a key component to their…
Descriptors: Foreign Countries, Computer Uses in Education, English (Second Language), Second Language Learning
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Neuman, Susan B.; Kaefer, Tanya; Pinkham, Ashley M. – Journal of Educational Psychology, 2018
There is a virtual consensus regarding the types of language processes, interactions, and material supports that are central for young children to become proficient readers and writers (Shanahan et al., 2008). In this study, we examine these supports in both home and school contexts during children's critical transitional kindergarten year.…
Descriptors: Children, Low Income Groups, Poverty, Interaction
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Langberg, Joshua M.; Molina, Brooke S. G.; Arnold, L. Eugene; Epstein, Jeffery N.; Altaye, Mekibib; Hinshaw, Stephen P.; Swanson, James M.; Wigal, Timothy; Hechtman, Lily – Journal of Clinical Child and Adolescent Psychology, 2011
The current study examined predictors of academic achievement, measured by standardized test scores, and performance, measured by school grades, in adolescents (Mn = 16.8) who met diagnostic criteria for Attention-Deficit/Hyperactivity Disorder (ADHD)-Combined type in early childhood (Mn age = 8.5; N = 579). Several mediation models were also…
Descriptors: Attention Deficit Hyperactivity Disorder, Homework, Standardized Tests, Scores
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Powell, Sarah R.; Fuchs, Lynn S. – Journal of Educational Psychology, 2010
Elementary school students often misinterpret the equal sign (=) as an operational rather than a relational symbol. Such misunderstanding is problematic because solving equations with missing numbers may be important for the development of higher order mathematics skills, including solving word problems. Research indicates equal-sign instruction…
Descriptors: Elementary School Students, Word Problems (Mathematics), Mathematics Skills, Equations (Mathematics)
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Shields, Jennifer; Konold, Timothy R.; Glutting, Joseph J. – Journal of Psychoeducational Assessment, 2004
This study investigated the differential validity of the Wide Range Intelligence Test, which is a new, brief measure of ability. Participants (N = 744) ranged in age from 5 through 85 years (M = 26.7 years, SD = 21.4 years) and varied by the demographic variables of gender, race/ethnicity (Anglo, African American, Hispanic), and education level…
Descriptors: Intelligence, High Schools, Ethnic Groups, Test Validity