SREE European Researchers Affinity Group

Mission Statement

SREE European Researchers (SREE Europe) is a community of European and Europe-based educational researchers dedicated to educational effectiveness. It provides a space to exchange experiences, build professional relationships, and collaborate on research. It also provides professional development opportunities (i.e., networking events, workshops, resources) to develop advanced knowledge and skills in quantitative research methods.

Who are we?

The group brings together European and Europe-based researchers who conduct impact evaluations, systematic evidence syntheses, and studies on research use, as well as those advancing methods for causal inference. Members include researchers at all career stages, from graduate students to senior researchers, based in universities, research centers, and other non-academic organizations.

Why do we exist?

SREE Europe was established to fill the gap of a dedicated community for educational effectiveness research in Europe. Its aim is to provide a space for European and Europe-based researchers to connect, collaborate, and build professional networks, while also fostering engagement with colleagues in the United States.

What are our goals?

The goals of the SREE Europe affinity group are to:

  1. Community: Build networks between European and Europe-based researchers.
  2. Collaboration: Provide an opportunity for European and Europe-based educational researchers to connect and engage in impactful research initiatives and projects.
  3. Professional development: Provide resources and training opportunities to support researchers—especially those early in their careers—in developing advanced knowledge and skills in quantitative research methods.

Leadership

Marta Pellegrini and Ben Styles (Co-chairs)

Join Us

Membership is open to all people interested in advancing research on educational effectiveness in Europe. To become an Affinity Group member, fill in this form: European Researchers Affinity Group – Fill out form

To hold a leadership position, you need to be a current SREE member.

To get involved or learn more about upcoming events, please reach out to our current leadership team.

 

Mark your calendars for the next meetings in 2026:

Webinar: Learning about teacher value added in England (Rob Coe, Director of Research and Development at Evidence Based Education)

March 6, 10am EST / 3pm UK time / 4pm Central European Time

Register Online Here! | No cost to attend | Do not need to be a member of the affinity group to register
Very few studies have so far tried to estimate teacher value added in England, mainly because there is no systematic collection of student attainment data, other than for statutory assessments in Years (grades) 6 and 11. The Teaching Improvement through Data and Evaluation (TIDE https://niot.org.uk/research-projects/teacher_improvement_through_data_evaluation_tide) project hopes to break that impasse using results from common assessments, taken up to three times a year in a wide range of subjects. These are internal assessments, used by the schools to monitor student progress, so we have had to address challenges of data access and assessment quality. Matching attainment data with school timetable and HR data, along with workforce surveys, allows us to address a range of questions not previously tackled in England, and some that have not been addressed anywhere. The webinar will outline the project aims and methods, and present some preliminary results of our analyses.

 

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Webinar: Improving the generalizability of impact evaluations (Beth Tipton, Northwestern University) – January 30, 10 am (US Eastern Time).

In rigorous impact evaluations of educational interventions, the generalizability of findings is often unclear, as each study is conducted within a specific – often convenient – sample of schools and students. This webinar provides practical guidance for researchers on how to enhance generalizability when planning impact studies. The session will cover how to define the target population and develop a sampling plan; assess the similarities between the study sample and the target population; and adjust for differences between the sample and the population.