Multivariate and other statistical techniques for use in research.

This two day training programme will give researchers who work with statistical methods, or use their results, a thorough practical understanding of all the main statistical techniques used in survey research. Experienced statistical practitioners will give you clear insights into how the techniques should be applied, and how to interpret the results.

Level

Advanced

Who will benefit from this course?

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 1-3 years' research-related experience, and some limited experience of statistical techniques.

Aims and objectives

Applying statistical techniques and using their results can often lead to confusion rather than clarity. This course will reverse that tendency by showing you:

  • Which techniques should be used in different situations
  • How to apply the techniques to your data
  • How to choose between alternative options within each technique
  • How to understand and apply your results
  • How to interpret your results into actionable conclusions

Learning Outcomes

The course, will gives delegates an effective practical understanding of applying:

  • 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
Testimonials
“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.

DAY 1 – Wednesday 6th May

09:30   Welcome, introductions and housekeeping

10:00   Introduction to the Masterclass – Karsten Shaw - Populus

10:15   Break

10:30   Summary Statistics and Hypothesis testing – Andreea Tut – Populus

11:15   Break

11:30   Factor Analysis – Karsten Shaw – Populus

12:15   Lunch

13:00   Cluster Analysis – Karsten Shaw – Populus

13:45   Break

14:00   Conjoint Analysis – Chris Moore – Ipsos MORI

14:45   Break

15:00   Pricing Research – Chris Moore – Ipsos MORI

15:45   Round up

16:00   Close

 

DAY 2 – Thursday 7th May

09:30   Welcome back & Recap of day 1

09:45   Regression Analysis – Jana Uthayakumar– GfK

10:30   Break

10.45   Data Integration – Corrine Moy – GfK

11:30   Break

11:45   Correspondence Mapping – Bess Kemp - GfK

12:30   Lunch

13:00   CHAID – Beverley Henry – Ipsos MORI

13:45   Break

14:00   Forecasting – Liz Bates – Ipsos MORI

14:45   Break

15:00   Data Science – Bernadeta Wilk - Populus

15:45   Q&A

16:00   Close


Additional Information

Get the latest MRS news

Our newsletters cover the latest MRS events, policy updates and research news.