Previous research evaluating grammar school effectiveness has generally relied on snapshot or longitudinal regression models to deal with pre‐existing differences between grammar school pupils and those in non‐selective schools. These passive designs are based on correlations, and cannot demonstrate clear positive causal relationships between grammar school attendance and subsequent attainment. After accounting for the variables available for the analysis, pupils in different schools might still have distinct and unmeasured characteristics which threaten the validity of any conclusions drawn. Given that a randomised trial is not feasible under current conditions, this study addresses the limitations of previous research, using a regression ...
'League table' information on school effectiveness in England generally relies on either a compariso...
`League table' information on school effectiveness in England generally relies on either a compariso...
Alan Bainbridge – ORCID: 0000-0001-7783-7747 https://orcid.org/0000-0001-7783-7747This is an updat...
This paper forms part of a larger investigation of indicators of disadvantage and how they may be i...
The research findings presented in this paper illustrate how the “value added” of schooling can be a...
This paper uses the National Pupil Database to explore how grammar school opportunities vary among p...
Value-added (VA) measures are currently the predominant approach used to compare the effectiveness o...
In October 2015 the Department for Education (DfE) permitted a grammar school in Tonbridge, Kent, to...
A detailed analysis of Hansard transcripts was undertaken to explore the dialogue used in parliament...
In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar sc...
In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar sc...
In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar sc...
In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar sc...
In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar sc...
We use eleven-plus test and appeals data obtained from a large local authority to explore how the pr...
'League table' information on school effectiveness in England generally relies on either a compariso...
`League table' information on school effectiveness in England generally relies on either a compariso...
Alan Bainbridge – ORCID: 0000-0001-7783-7747 https://orcid.org/0000-0001-7783-7747This is an updat...
This paper forms part of a larger investigation of indicators of disadvantage and how they may be i...
The research findings presented in this paper illustrate how the “value added” of schooling can be a...
This paper uses the National Pupil Database to explore how grammar school opportunities vary among p...
Value-added (VA) measures are currently the predominant approach used to compare the effectiveness o...
In October 2015 the Department for Education (DfE) permitted a grammar school in Tonbridge, Kent, to...
A detailed analysis of Hansard transcripts was undertaken to explore the dialogue used in parliament...
In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar sc...
In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar sc...
In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar sc...
In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar sc...
In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar sc...
We use eleven-plus test and appeals data obtained from a large local authority to explore how the pr...
'League table' information on school effectiveness in England generally relies on either a compariso...
`League table' information on school effectiveness in England generally relies on either a compariso...
Alan Bainbridge – ORCID: 0000-0001-7783-7747 https://orcid.org/0000-0001-7783-7747This is an updat...