Quantitative Methods: Refreshing Your Skills (22 Sep)
This event is now fully booked and registration for the event is closed. If you wish to be put on a waiting list, please email events@aqmen.ac.uk and you will be contacted if a place becomes available.
Course Leader: Dr Clair Wilkins, WISERD Quantitative Research Team
Location: Room 1.08, University of Edinburgh Main Library, George Square, Edinburgh
Overview:
The course will introduce a variety of quantitative methods, from simple descriptive statistics to techniques for analysing different types of quantitative data. The course will also cover the use of SPSS as an analytical tool.
We will begin with the very basics, from different types of variables, descriptive statistics such as mean, median, mode etc then will move onto a session on the computer with the basics of SPSS.In this session you will learn how to enter data, define variables and produce simple statistics and frequency charts. We will then move on to look at hypotheses, significance, different types of experimental design and the appropriate statistical tests. We will use appropriate data sets, critique journal articles which use quantitative methods and again will use SPSS to look at different types of analysis.
The course is meant to give a basic grounding in how, if you wish, to analyse quantitative data yourself but more importantly to give you the ability to understand and to critique the quantitative research of others.
Course Fees:
As this is not a core event, there will be a charge to attend this training. The fee structure is as follows:
UK Registered Postgraduate Student - £30
Staff at any UK Higher Education Institition - £60
ESRC Funded Researcher - £60
Registered Charity - £60
Public Sector Organisation - £110
Private Organisation & Other - £220
All fees include event materials, lunch, morning and afternoon tea. These fees do not include travel and accommodation costs.
Places for this event will be allocated on a first-come first served basis. If you would like to attend this event, please sign up using the link below and a member of the AQMeN team will contact you shortly.
