A 2 full day course: 20th & 21st November 2017.
SPSS for Windows is a statistical software package that has become synonymous with data management and analysis in the social sciences. This module will introduce participants to the manipulation and management of data in the SPSS Windows environment.
Important please note:
If the course is fully booked please do complete the registration, as then you will be placed on a waiting list. You will be allocated a place if more places become available or if people cancel.
We will make every attempt to accommodate Lancaster University staff and postgraduate research students on our courses. However, if a course becomes fully booked we reserve the right to give priority to students on the MSc in Statistics, MSc in Data Science, and external participants.
Details of course fees.
Registrations are transferable to another course or individual at any time. Full refunds will be given for cancellation 10 or more working days before the course start date. Otherwise the full course fee will be charged.
In addition, participants will develop the confidence to manipulate data files in order to summarise data numerically and graphically and to perform simple statistical procedures including formal tests of hypotheses of interest.
This module is aimed at researchers and research students, with little experience of Windows computing, who would like to use SPSS in an efficient and effective manner. The aim of the module is to provide participants with as many opportunities to experiment with the package as possible. Consequently, each session will be centred around a computer-based practical encouraging participants to investigate data taken from various sources.
Topics covered include:
- manipulation and management of data in the SPSS Windows environment
- summarising data numerically and graphically
- simple statistical procedures including formal tests of hypotheses of interest
On completion of this course, you will be able to:
- manipulate and manage data in the SPSS Windows environment
- summarise data numerically and graphically
- carry out simple statistical procedures including formal tests of hypotheses of interest
- apply theoretical concepts
- identify and solve problems
- analyse data and interpret statistical output
- apply strategies for appropriate selection of information