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26 February 202610:00-13:00

Creating evidence of impact: approaches to widening participation and student success

Room M321, University of Westminster, 35 Marylebone Road, London, NW1 5LS
As part of the ADR England Research Community Catalyst: Youth Transitions project, the University of Westminster is running a face-to-face clinic to support you in your evaluation challenges using ADR admin datasets, such as  LEO and GRADE.

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Interested in using ADR flagship datasets to identify and evaluate the approaches that best support student access, success and progression in higher education? 

As part of the ADR England Research Community Catalyst: Youth Transitions project, the University of Westminster is running a face-to-face clinic to support you in your evaluation challenges using ADR admin datasets, such as  LEO and GRADE.

The project is co-funded by TASO, ADR England, and the Youth Futures Foundation.

Workshop overview

The workshop will focus on evaluation challenges put forward by attendees in advance. This is your opportunity to obtain tailored advice on data and analysis – helping you in the challenge of causal identification for interventions and programmes.

The session will aim to help researchers wishing to evaluate the impact of policies and interventions that support underrepresented groups to improve access, success and progression in higher education.

There is still time to suggest topics that will be covered in the session, or simply register to learn more about the below areas: 

  1. The evaluation of contextual admissions policies. Which methods might we use to capture the impacts for students from underrepresented or disadvantaged groups, from interventions that aim to boost access using contextual offers?
  2. Opportunities to use ADR datasets. Researchers often work with administrative data collected from their own institution, to evaluate the impact of these and other interventions. What opportunities do datasets such as Longitudinal Education Outcomes (LEO) and Grading and Admissions Data for England (GRADE) present? 
  3. Evaluation techniques. We will consider the use of random-effects (multilevel) and fixed effects models; noting the limitations of standard regression approaches and how approaches such as inverse probability weighting may mitigate some concerns. We will look at evaluation techniques such as instrumental variable methods, matching, difference-in-differences, panel data estimation and regression discontinuity design.

Who should attend?

Why attend?

Gain access to bespoke expert advice on using administrative datasets to implement quasi-experimental evaluation techniques. 

Interested in attending? Register here.

To register your interest, please complete the short form below.

Register interest | Creating evidence of impact: approaches to widening participation and student success

Please fill out the following form outlining your evaluation, and the dataset(s) and statistical method(s) you’re planning to use/have used.

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Please contact us if you have any questions.