activity
20182020
most citedVariance partitioning in multilevel models for count data

5 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

stat.AP2020

Providing educational accountability for Local Authorities based upon sampling pupils within schools: moving away from simplistic school league tables

Harvey Goldstein, George Leckie, Lucy Prior

This paper proposes an alternative educational accountability system for England that moves away from simplistic comparisons, or league tables, among schools towards a more nuanced…

stat.AP20202 cited

School value-added models for multivariate academic and non-academic outcomes: A more rounded approach to using student data to inform school accountability

Lucy Prior, Harvey Goldstein, George Leckie

Education systems around the world increasingly rely on school value-added models to hold schools to account. These models typically focus on a limited number of academic outcomes,…

stat.AP20194 cited

The implications of Labour's plan to scrap Key Stage 2 tests for Progress 8 and secondary school accountability in England

George Leckie, Lucy Prior, Harvey Goldstein

In England, Progress 8 is the Conservative government's headline secondary school performance and accountability measure. Progress 8 attempts to measure the average academic progre…

stat.ME20195 cited

Variance partitioning in multilevel models for count data

George Leckie, William Browne, Harvey Goldstein +2

A first step when fitting multilevel models to continuous responses is to explore the degree of clustering in the data. Researchers fit variance-component models and then report th…

stat.AP2018

Should we adjust for pupil background in school value-added models? A study of Progress 8 and school accountability in England

George Leckie, Harvey Goldstein

In the UK, US and elsewhere, school accountability systems increasingly compare schools using value-added measures of school performance derived from pupil scores in high-stakes st…