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Peña, Pablo A. – Education Economics, 2019
Using public information from birth certificates and prison records from Florida, we adopt a reduced-form approach to estimate the effect of relative age on the probability of incarceration in adulthood (until age 30-40). We use a Regression Discontinuity Design around the cutoff date for Kindergarten enrollment (Sept. 1). We find strong evidence…
Descriptors: Age Differences, Institutionalized Persons, Correctional Institutions, Young Adults
Koutsoklenis, Athanasios; Honkasilta, Juho; Brunila, Kristiina – Pedagogy, Culture and Society, 2020
Attention deficit hyperactivity disorder (ADHD) is a debated phenomenon and the link between schooling and the occurrence of ADHD diagnoses is worth critical scrutiny. This paper contributes to the academic debate by providing a literature review of the evidence on the influence of relative age effect (RAE) on being diagnosed with ADHD. Firstly,…
Descriptors: Attention Deficit Hyperactivity Disorder, Correlation, Clinical Diagnosis, Cultural Context
Zhou, Longjun; Wang, Fuzhou – Science Insights Education Frontiers, 2020
The US Department of Justice released the final report on school violence and showed that middle school is the age when violence is high, accounting for more than 70% of all violence cases (Zweig et al., 2013). After having perpetrated, the probability that the perpetrator will commit violence again will increase significantly (Office of the…
Descriptors: Violence, Neurology, Behavior Problems, Middle School Students
Rodems, Richard; Shaefer, H. Luke – Poverty Solutions, University of Michigan, 2019
According to the most recent data available from the nationally-representative Survey of Income and Program Participation (SIPP), as of 2011, 38.4% of children lived in households reporting at least one form of material hardship, such as food insecurity, inability to pay essential household bills, inability to access medical care due to cost, or…
Descriptors: Hunger, Poverty, Access to Health Care, Housing
Schlenz, Alyssa M.; Carpenter, Laura A.; Bradley, Catherine; Charles, Jane; Boan, Andrea – Journal of Autism and Developmental Disorders, 2015
This paper evaluated age differences in emergency department care and inpatient hospitalizations in 252 preadolescent and adolescent youth with autism spectrum disorders (ASDs; ages 9-18). Records from youth with ASDs were linked to acute care utilization records and were compared to a demographically similar comparison group of youth without ASDs…
Descriptors: Autism, Pervasive Developmental Disorders, Hospitalized Children, Medical Services
Gonzalez, Michel; Girotto, Vittorio – Cognition, 2011
Young children are able to judge which of two possibilities is more likely to occur when these possibilities are characterized by a simple property, like color ("Is it more likely to draw a red chip or a blue chip?"). Here we ask whether they can do so when the possibilities concern a relation between simple properties ("Is it more likely to draw…
Descriptors: Probability, Prediction, Young Children, Color
Pruett, John R.; LaMacchia, Angela; Hoertel, Sarah; Squire, Emma; McVey, Kelly; Todd, Richard D.; Constantino, John N.; Petersen, Steven E. – Journal of Autism and Developmental Disorders, 2011
Three experiments explored attention to eye gaze, which is incompletely understood in typical development and is hypothesized to be disrupted in autism. Experiment 1 (n = 26 typical adults) involved covert orienting to box, arrow, and gaze cues at two probabilities and cue-target times to test whether reorienting for gaze is endogenous, exogenous,…
Descriptors: Cues, Autism, Probability, Pervasive Developmental Disorders
Dickson, Matt; Smith, Sarah – Economics of Education Review, 2011
The 1973 Raising of the School Leaving Age from 15 to 16 has been used to identify returns to years' schooling. However, because the first set of "high stakes" exams are taken in the UK at age 16, the reform affected the proportion with qualifications, as well as schooling length. In order to shed light on whether the returns reflect the…
Descriptors: Foreign Countries, Qualifications, Outcomes of Education, Educational Attainment
Smith, Rebekah E.; Bayen, Ute J.; Martin, Claudia – Developmental Psychology, 2010
Fifty children 7 years of age (29 girls, 21 boys), 53 children 10 years of age (29 girls, 24 boys), and 36 young adults (19 women, 17 men) performed a computerized event-based prospective memory task. All 3 groups differed significantly in prospective memory performance, with adults showing the best performance and with 7-year-olds showing the…
Descriptors: Memory, Children, Young Adults, Age Differences
Foorman, Barbara R.; Kershaw, Sarah; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2013
Florida requires that students who do not meet grade-level reading proficiency standards on the end-of-year state assessment (Florida Comprehensive Assessment Test, FCAT) receive intensive reading intervention. With the stakes so high, teachers and principals are interested in using screening or diagnostic assessments to identify students with a…
Descriptors: Reading Comprehension, At Risk Students, Reading Skills, Reading Difficulties
Fezzani, K.; Albinet, C.; Thon, B.; Marquie, J. -C. – Behaviour & Information Technology, 2010
The present study investigated the extent to which the impact of motor difficulty on the acquisition of a computer task varies as a function of age. Fourteen young and 14 older participants performed 352 sequences of 10 serial pointing movements with a wireless pen on a digitiser tablet. A conditional probabilistic structure governed the…
Descriptors: College Students, Cognitive Processes, Psychomotor Skills, Age Differences
Hedden, Sarra L.; Whitaker, Damiya E.; von Thomsen, Sarah; Severtson, S. Geoffrey; Latimer, William W. – Journal of Child & Adolescent Substance Abuse, 2011
Students who engage in high-risk behaviors, including early initiation of sexual intercourse, alcohol use, marijuana use, tobacco use, and externalizing behavior are vulnerable to a broad range of adverse outcomes as adults. Latent class analysis was used to determine whether varying patterns of risk behavior existed for 212 urban African-American…
Descriptors: Prevention, Drug Use, Drinking, Adolescents
Buddelmeyer, Hielke; Herault, Nicolas – National Centre for Vocational Education Research (NCVER), 2010
Up until the global financial crisis in late 2008, youth unemployment in Australia had been at its lowest recorded level since the 1970s. However, at just over 8%, this was still twice the rate for all people. Following the downturn, unemployment rates for those aged 15-24 years have increased to around 10%, a figure still twice that for all…
Descriptors: Unemployment, Youth Employment, Employment Qualifications, Labor Market
Eppinger, Ben; Kray, Jutta; Mock, Barbara; Mecklinger, Axel – Neuropsychologia, 2008
This study examined age differences in error processing and reinforcement learning. We were interested in whether the electrophysiological correlates of error processing, the error-related negativity (ERN) and the feedback-related negativity (FRN), reflect learning-related changes in younger and older adults. To do so, we applied a probabilistic…
Descriptors: Feedback (Response), Older Adults, Age Differences, Reinforcement
Alexander, Joyce M.; Johnson, Kathy E.; Leibham, Mary E.; Kelley, Ken – Cognitive Development, 2008
We conducted a longitudinal analysis of the relative intensity and duration of interests associated with conceptual domains between the ages of 4 and 6 years, respectively. Results indicated a significant portion of preschool children do sustain an interest in conceptual domains during some portion of their childhood. Expected gender differences…
Descriptors: Females, Interests, Preschool Children, Probability
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