SWEETS/CBEAR: Experimental Methods for Scholarship Research

Date:

09/06/2025 - 11/06/2025

Organised by:

NCRM, University of Southampton and CBEAR, University of Southampton

Presenter:

Caroline Elliott, Fabio Arico, Paolo Spada, Douglas McKee, Jadrian Wooten, Annika Johnson, Thomas Gall and Jana Sadeh

Level:

Intermediate (some prior knowledge)

Contact:

Jacqui Thorp
Training and Capacity Building Coordinator, National Centre for Research Methods, University of Southampton
Email: jmh6@soton.ac.uk

Map:

View in Google Maps  (SO17 1BJ)

Venue:

Building 59P, Rooms 1005 and 1007
University of Southampton
Highfield
Southampton
Hants

Description:

This three-day workshop introduces participants to the theory and practice of experimental methods in application to scholarship research in higher education (HE). It delivers an overview of prevalent approaches, specifically using survey experiments, mixed methods and randomised control trials (RCT) providing a solid introduction to key experimental methodology. The course will focus on the practical skills needed to design, implement, and analyse scholarship in HE.

The course covers: 

Day 1: Introduction to Scholarship Research in HE, choosing appropriate methods, and ethics of research in HE.

Day 2: Survey and mixed methods: design, implementation and analysis

Day 3: RCT: design, application and analysis.

By the end of the course participants will:

  • Understand the breadth of methods available for scholarship research in HE.
  • Be able to design a research project using survey, mixed or RCT methods
  • Be able to implement a research project using survey, mixed or RCT methods
  • Be able to analyse data generated from a research project using survey, mixed or RCT methods
  • Understand the ethical frameworks and challenges surrounding scholarship research

This course is aimed at Teaching Fellows and Senior Teaching Fellows embarking on scholarship research in the higher education (HE) sector for the first time or who are interested in trialling new methodologies in their research. Non-teaching faculty members interested in doing scholarship research in HE.

This workshop is designed by trainers from the field of Economics but will be relevant to other Social Sciences staff with some quantitative background. Participants should have relatively sound knowledge of basic statistics..

This will course run from Monday 9th to Wednesday 11th June, 09:00-18:00 at University of Southampton.

Cost:

The fee for the three day course is:

• £150 for students.
• £300 for staff working for academic institutions, Research Councils and other recognised research institutions, registered charity organisations and the public sector.
• £500 for all other participants.

All fees include event materials and morning and afternoon refreshments, lunch is NOT included. Fees do not include travel and accommodation costs.

In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date.

If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs.

The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:

Register for this course

Region:

South East

Keywords:

Qualitative Approaches (other), Quantitative Data Handling and Data Analysis, Stata, Survey research, Experimental research, Scholarship research, Economics scholarship


Related publications and presentations from our eprints archive:

Qualitative Approaches (other)
Quantitative Data Handling and Data Analysis
Stata

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