Learn how to use multivariate and other statistical techniques to best effect in research

This course is now delivered online as a series of live sessions which fully meet the learning objectives of face-to-face training.

Applying statistical techniques and using their results can often lead to confusion rather than clarity. This two-day training course will reverse that tendency by giving researchers who work with statistical methods, or use their results, a thorough practical understanding of all the main techniques used in survey research.

Experienced statistical practitioners will give you a clear insight and practical understanding of how the techniques should be applied, and how to interpret the results.

Learning outcomes
  • Basic statistical techniques to calculate confidence intervals and significance tests
  • Factor analysis to summarise attitudinal and image data, revealing underlying concepts
  • Cluster analysis and CHAID to segment data sets into actionable subgroups
  • Conjoint analysis and related techniques to examine your data at respondent level
  • Correspondence analysis and other mapping techniques to create insightful ways of understanding relationships within your data
  • Regression analysis to understand interactions between data variables
  • Data fusion to merge together data sets, allowing analyses combining measures from separate surveys
Who will benefit

Research practitioners who need to apply statistical techniques to their data, and research users who need to examine and understand the results of these techniques. Typically delegates should have between one and three years' research-related experience, and some limited experience of statistical techniques.

By agreeing to participate in this training course you also agree to download any software application(s) that are required for the fulfilment of the course.

Testimonials
"Broad overview of statistical approaches, explored at varying levels of comprehension."

Declan Turner, Wavehill
May 2020

"Very insightful, great practical knowledge to pick up from experts across different fields."

Fahad Ali, Publicis Groupe
May 2020

Mind-blowing (in every sense)

Mat Riches, ITV
May 2020

“A thorough dive into the world of statistics for market research, for a researcher with some statistical and market research analysis knowledge/experience.”

Charlotte Caseley-Austin, Critical Research
10-11 February 2016

“Very well designed and delivered no-nonsense training for researchers who are passionate about statistics.”

Malgosia Stelmach, AIG RTD
10-11 February 2016

“Really useful training session, delivered in an engaging and easy to understand manner .”

Bo Cartwright, Trinity McQueen Limited
10-11 February 2016

“Perfect grounding on the base and use of statistics.”

Jas Gill, Healthcare Research Worldwide
10-11 February 2016

Aji is VP of Data and Research at Chattermill, a start-up based in London specialising in applying artificial neural networks to customer feedback data to help make more customer-centric decisions. At Chattermill, Aji is responsible for a team of data scientists, machine learning engineers and research scientists. Before joining Chatermill, Aji spent five years at Sky, as Head of Data Science and has a total of 10 years of experience in Research and Data Science. He is also extremely passionate about all things related to Neuroscience, Artificial Intelligence and Robotics. Aji holds a PhD in Computational Cognitive Science, specialising in developing large-scale machine learning simulations of semantic processing (text and image). He is also a Research Fellow at the Centre for Cognition, Computation and Modelling at Birkbeck, University of London. Aji regularly lectures for the Market Research Society on a wide range of topics such as Machine Learning, Artificial Intelligence, Data Science and Neuroscience.

Additional Information

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