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Direct linkHeslop, Jo; Tamez, Lucia Quintero; Parkes, Jenny – Institute of Education - London, 2021
While violence against children (VAC) has been a long-established global concern, more recently attention has been drawn to how violence occurs in and around schools (VACS) and the role of education in preventing and responding to violence. Whilst awareness about VACS is growing, more robust data are needed to inform policy and practice. Concerns…
Descriptors: Violence, Children, School Violence, Bullying
Peer reviewedSaffran, Andrea; Barchfeld, Petra; Sodian, Beate; Alibali, Martha W. – Developmental Psychology, 2016
In a series of 3 experiments, the authors investigated the influence of symmetry of variables on children's and adults' data interpretation. They hypothesized that symmetrical (i.e., present/present) variables would support correct interpretations more than asymmetrical (i.e., present/absent) variables. Participants were asked to judge covariation…
Descriptors: Children, Adults, Age Differences, Data Interpretation
Download full textAtkinson, Mary; Martin, Kerry; Downing, Dick; Harland, Jennie; Kendall, Sally; White, Richard – National Foundation for Educational Research, 2007
With many thousands of home-educated children across the UK, the subject of support for the home-education community is widely debated. A report conducted by the NFER for the Esmee Fairbairn Foundation is based on detailed interviews with 20 home educators and presents findings on support needs. This Research Briefing illustrates some key findings…
Descriptors: Home Schooling, Needs Assessment, Foreign Countries, Technical Assistance
Miles, T. R.; Haslum, M. N.; Wheeler, T. J. – Annals of Dyslexia, 1998
A study involving 11,804 British children (age 10) found that when specified criteria for dyslexia were used, 269 children qualified as dyslexic. These included 223 boys and 46 girls, for a ratio of 4.51 to 1. Difficulties in interpreting these data are discussed and a defense of the criteria is provided. (Author/CR)
Descriptors: Children, Clinical Diagnosis, Data Analysis, Data Interpretation
