Theory-based evaluation: Options and choices

Date:

02/03/2026 - 03/03/2026

Organised by:

Social Research Association

Presenter:

Prof David Parsons

Level:

Intermediate (some prior knowledge)

Contact:

Patricia Cornell
training@the-sra.org.uk

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Venue: Online

Description:

A well designed theory-based evaluation (TBE) helps unpick the often unclear expectations and assumptions which underlie new policy, programmes and initiatives. It can go well beyond measuring what comes out of an intervention to better understand what works (and what doesn’t), and why, and what may be holding it back from working better. Although not a new approach, its use has been held back by confusion about the different approaches to TBE, and a lack of practitioner knowledge about how to apply these promising methods. The course will provide a practical introduction to TBE principles, setting out different ‘layered’ options and approaches and practical examples of how it can be used in often complex social and community development contexts. This online course provides a more flexible opportunity for an introduction to TBE. It shares much of the same content as the ‘face to face’ SRA course and is led by the same tutor.

Cost:

£190 for SRA members, £245 for non-members.

Website and registration:

Register for this course

Region:

International

Keywords:

Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, ICT and Software, Research Management and Impact, Research Skills, Communication and Dissemination, AI and machine learning


Related publications and presentations from our eprints archive:

Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis
ICT and Software
Research Management and Impact
Research Skills, Communication and Dissemination
AI and machine learning

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