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Direct linkAnders, Jake; Henderson, Morag; Moulton, Vanessa; Sullivan, Alice – Oxford Review of Education, 2018
The subjects that young people study from age 14 onwards may have important consequences for their future academic and labour market outcomes. These decisions are shaped by the schools in which they find themselves. Schools also face constraints of their own. This paper explores the extent to which individuals' decisions are affected by the school…
Descriptors: School Role, Academic Advising, School Statistics, Student Records
Clarke, Paul; Crawford, Claire; Steele, Fiona; Vignoles, Anna – Education Economics, 2015
The use of fixed (FE) and random effects (RE) in two-level hierarchical linear regression is discussed in the context of education research. We compare the robustness of FE models with the modelling flexibility and potential efficiency of those from RE models. We argue that the two should be seen as complementary approaches. We then compare both…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Educational Research, Comparative Analysis
Download full textLynch, Sarah; Styles, Ben; Poet, Helen; White, Richard; Bradshaw, Sally; Rabiasz, Adam – National Foundation for Educational Research, 2015
This summary reports the findings from two cluster-randomised trials of Drinkaware's school-based In:tuition life skills and alcohol education intervention: one trial of the programme for 10-11 year olds in primary schools, and another for 12-13 year olds in secondary schools. The trials have been carried out by the National Foundation for…
Descriptors: Program Evaluation, Alcohol Education, Intervention, Prevention
