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Evaluating WP initiatives - overcoming the challenges

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1 Evaluating WP initiatives - overcoming the challenges
(Randomised Controlled) Trials and Tribulations The case of a programme to widen postgraduate participation Sally Hancock & Paul Wakeling Centre for Research into Education and Social Justice Department of Education Evaluating WP initiatives - overcoming the challenges The Open University, 28th February 2019

2 Outline Aims and trial design Implementation and challenges
Implications for future research

3 While there have been some improvements in overall university access for the poorest students, there remain huge challenges, particularly in our leading universities and at postgraduate level… Action [is] needed ensure that postgraduate study is open to all those with the ability to contribute to the advancement of knowledge and understanding. Sir Peter Lampl, Sutton Trust (2013)

4 Two strand intervention to widen participation to postgraduate study
Final year undergraduates from POLAR 1 & 2 neighbourhoods Structured programme of information, advice and guidance (Autumn 2017) Baseline and post survey to monitor change in plans, knowledge, confidence, destinations PGT offer holders from Black, Asian & Minority ethnic groups Online pre-enrolment course covering advice and study skills (Summer 2018) Monitor engagement with course, and conversion from offer to enrolment

5 Why RCT? ‘Gold standard’ for measuring interventions (Pocock 1983)
Increasingly used in educational evaluations; typically in compulsory education Participants randomly assigned to the intervention or control group Groups are assumed to be identical at the baseline measure; therefore any change in outcome is attributed to the intervention Can help to identify efficacy and potential harm

6 Trial design Institution A B C D E Biology I Economics English
European Languages Law Mathematics C= Control; I= Intervention

7 Implementation and challenges

8 Administrative Multi-institution working
Coordination and institutional differences (fidelity) GDPR Industrial action

9 ‘Intention to treat’ Disappointing levels of engagement
Self-selection bias (example) Contradiction: enforcing voluntary interventions …also: master’s loans

10 Strand 1 baseline I intend to study at PG level Control (22.9%)
Intervention (24.9%) Engaged intervention (30.3%) I have already applied for PG study Control (7.8%) Intervention (11.0%) Engaged intervention (11.9%) I am not considering PG study Control (29.1%) Intervention (25.1%) Engaged intervention (18.4%)

11 Effects of the intervention - mixed results
Diplomacy of handling disappointing results – direction of change not as hoped on key variables In our case, doesn’t give much insight into why we observe these trends

12 Strand 1 follow-up I intend to study at PG level Control (25.2%)
Intervention (24.7%) Engaged intervention (28.0%) -0.2% I have already applied for PG study Control (31.9%) Intervention (19.6%) Engaged intervention (35.0%) +24.1% 18.6% +23.1% I am not considering PG study Control (30.2%) Intervention (31.2%) Engaged intervention (24.8%) +1.1% +6.1% +6.7%

13 Implications for future research and practice

14 Caveat indagator 1 Gold is expensive!
Nature of PG WP work with undergraduates means it is hard to get a clear ‘signal’ (Military-level!) control over the process needed Most EEF trials don’t work (Lortie-Forgues & Inglis, forthcoming) BUT difficulties with RCTs do not remove the need for the counterfactual 1Latin for ‘researcher beware’

15 sally.hancock@york.ac.uk paul.wakeling@york.ac.uk
Thank you


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