Data collection, sampling, analysis, presentation.

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

This course enables you to:

  • Develop a full understanding of all aspects of the quantitative research process.
Learning outcomes

By the end of the course, delegates should have developed their understanding of:

  • Quantitative research and when to use it
  • A range of data collection methods
  • The fundamentals of sampling
  • Best practice in questionnaire design
  • Basic analysis techniques
  • Special quantitative techniques, e.g. rating, ranking, mean scores
  • The fundamentals of statistical reliability and significance tests
  • How to explore data and investigate hypotheses
  • How to draw conclusions and make recommendations
  • How to present and report findings

This course will include the opportunity to work through a case study from brief to presentation.

Who will benefit?

This course will benefit recent entrants to market research with little or no practical experience of quantitative research (e.g. research trainees).

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
“Great and thorough understanding of the research process from start to finish.”

Abigail Goodall, Elsevier
October 2016

“Very thorough and informative course that looked at agency quantitative research from conception to completion.”

Sky Betting & Gaming
October 2016

“Information packed high speed train to quantitative research.”

Ruth Partington, RP Translate
October 2016

“A very good starting point.”

Ruby van der Walt, The Paragon Group
October 2016

“Very informative and content was very well delivered to learn more about the basics.”

Louise Rouke, Coleman Parkes Research Ltd
October 2016

“A great quick-fire way to learn the basics to help inform questioning & business decisions.”

Rebecca Hughes, ADHB
19-21 April 2016

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Additional Information

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