SWEETS/C-BEAR: Experimental Methods for Scholarship Research

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. Instructors include Caroline Elliott (Warwick) Fabio Arico (UEA), Paolo Spada (Southampton), Douglas McKee (Cornell), Jadrian Wooten (Virginia Tech), Annika Johnson (Bristol), Thomas Gall (Southampton) and Jana Sadeh (Southampton).

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 09:00-18:00 each day.

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