News5 February 2021
- Consultation with other What Works Centres, widening participation (WP)/student success practitioners and evaluators, and TASO advisory groups to support the research and seek consensus for the approach and type of guidance they require. We welcome ideas for how to conduct the consultation phase as part of the application process.
- Review existing literature, knowledge, guidance and policies concerned with the ethics of implementing large-scale quantitative data collection and analysis; experimental and quasi-experimental research methods; administrative data set analysis; qualitative interviews; focus groups; and observations.
- Establish the remit and target audience of the ethics guidance produced as a result of this project, outlining how WP teams should follow the guide.
- Consultation with small and specialist providers, other What Works centres (WWCs) and their advisory boards, academic experts, the wider sector, including TASO’s advisory groups and students. We welcome ideas for how to conduct the consultation phase as part of the application process.
- Translation and testing pilot small n evaluation design and methods with small and specialist providers. The pilot is to include a collaborative approach, pooling resources from separate providers to test collaborative working as a solution to the resource challenge often experienced. This may involve changing the outcomes of interest to reduce competition between providers.
- Also pilot with individual providers: At least 3 – 5 small providers At least 3 – 5 larger providers working with small cohorts
- Test the feasibility of providing transferable methodological practice guidance to multiple specialist providers with a unique focus.
- Design and deliver practical guidance for HE providers, illustrating how to operationalise findings from the translation and testing phase.
- Review and select the most suitable alternative designs and methods for small n impact evaluation.
- Methods that strongly support causal inference to be prioritised.
- Provide recommendations for combining designs and methods to strengthen causal claims, when necessary.
- Provide guidance on mixing methods and implementation and process evaluation for such methods.