Correlation and Principal Components Analysis using EyeOpenR, 25 November 14:00 (GMT)

Product code: Correlation and Principal Components Analysis using EyeOpenR

Remote training

November 25, 2020

The remote learning package consists of a live interactive lecture delivered online by one of the Qi Statistics team, together with workshops for you to complete in your own time (solutions and data sets provided), plus a pdf of the lecture notes and email support whilst you are completing the workshop after the course for up to 2 weeks. More than just a recorded webinar and as close to face-to-face training as it can be!

In this remote learning session you will receive a live lecture delivered online by one of the Qi Statistics team, together with a workshop for you to complete in your own time (solutions and data sets provided), plus a pdf of the lecture notes. This module focuses on the statistical techniques for examining and summarising the relationships between attributes, using correlation and principal components analysis, including how to set the options in EyeOpenR and how to interpret the EyeOpenR outputs.

The course content is as follows:

  • Measures of correlation
    • Application to drivers of liking
    • Linear measures – checking for curvature
  • Principal Component Analysis
    • How it works
    • Covariance or correlation – which to use?
    • Key outputs to look at
    • Interpreting the maps correctly
    • Adding supplementary variables in EyeOpenR (Simple preference mapping)

The remote training package includes the one-hour lecture, plus time for questions/discussion and a set of exercises with worked solutions (explanation of statistics and interpretation with screen shots).

Length of Session:

Approx 1.5hr workshop

 

Pre-Requisites:

A basic understanding of statistics is assumed i.e. knowledge of statistical terminology and summary measures such as mean, variance, standard deviations.

 

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$294.25$326.95 (Excluding any applicable taxes)

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Other course information

After you complete your purchase, a few days before the session you will receive an email with a link and password for the session invite (via Zoom).

A pdf of course notes and any other required course materials will be sent to you before the session, for you to print off