AI-assisted Quantitative Research
Date:
06/11/2026
Organised by:
Social Research Association
Presenter:
Dr Alexandru Cernat
Level:
Entry (no or almost no prior knowledge)
Contact:
Patricia Cornell
training@the-sra.org.uk
Venue: Online
Artificial intelligence and large language models (LLMs) are becoming part of everyday social research, being used in everything from literature reviews to survey question development, analysis and reporting. This course will equip participants with the tools to understand the current capabilities of these models and how to use them effectively in the quantitative research workflow.
The course starts by introducing key concepts such as AI, machine learning, and Large Language Models (LLMs) in non-technical language. It then discusses the stages of quantitative research and how LLMs can be used effectively at each stage. Participants will learn how to choose between different types of tools, such as chatbots, in-editor assistants, and coding agents, and why instructions, context, tools, and human review shape what LLM systems can do.
The course is a mix of lectures covering key concepts in non-technical terms, workflows, and examples, as well as hands-on practicals where researchers can apply key concepts to real-world problems to better understand the strengths and limitations of these tools.
Looking to book for four or more people from your organisation? Please let us know before booking by emailing: training@the-sra.org.uk
Cost:
£190 for SRA members, £245 for non-members
Website and registration:
Region:
International
Keywords:
Quantitative Data Handling and Data Analysis, AI and machine learning
Related publications and presentations from our eprints archive:
Quantitative Data Handling and Data Analysis
AI and machine learning