Introduction to Cluster Analysis (CPD accredited)
Dates: | 9 February 2018 |
Times: | All day |
What is it: | Short course |
Organiser: | Cathie Marsh Institute for Social Research |
Venue opening hours: | 9:45am - 4:30pm |
How much: | £195 (£140 for those from educational, government and charitable institutions)
/ CMI offers up to five subsidised places at a reduced rate of £60 per course day to research staff and students within Humanities at The University of Manchester. These places are awarded in order of application. |
Who is it for: | University staff, Adults, Current University students |
Speaker: | Dr Kitty Lymperopoulou |
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The course covers cluster analysis concepts and methods in SPSS. It is aimed at those with an interest in developing practical skills to implement clustering techniques and those with an interest in area typologies and classifications.
Participants will develop an understanding of clusterIng methods and procedures in SPSS. By the end of the course they will be able to carry out preliminary analysis to select and transform variables for cluster analysis, choose a clustering method, evaluate and choose cluster solutions, interpret clusters and present cluster analysis results. Hierarchical and non-hierarchical cluster analysis will be applied to 2011 Census local area data to produce an area classification to group areas with similar overall population characteristics into clusters.
Participants should have familiarity with SPSS and an understanding of basic data analytical techniques including correlation and regression analysis.
Price: £195 (£140 for those from educational, government and charitable institutions)
Concessions: CMI offers up to five subsidised places at a reduced rate of £60 per course day to research staff and students within Humanities at The University of Manchester. These places are awarded in order of application.
Speaker
Dr Kitty Lymperopoulou
Role: Lecturer (TF) in Social Statistics
Travel and Contact Information
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Basement Lab
Humanities Bridgeford Street
Manchester