Introduction to Statistical Testing in Research
Date: 5th December 2012
Duration: 1 day (9.300am — 5:00pm)
Level: Introductory
Course Fee: £195 (£140 for those from educational and charitable institutions)
CCSR offers 5 free places to research staff and students within the Faculty of Humanities at the University of Manchester and the North West Doctoral Training Centre.
Course Leader:
Ric Swindell (Statistician [retired] at the Christie Hospital) and K. Purdam (CCSR)
Course Requirements: Participants should have a basic familiarity with quantitative data, research design, statistics and probability
Course Summary
The course aims to cover many of the commonly used parametric and non-parametric statistical tests, along with basic concepts of a randomized clinical trial and the analysis of survival data, with data examples from a health environment but for use in social research more widely.
Course Objectives
Participants will develop an understanding of what hypothesis testing is and the concepts that go with it. The course will also cover the topics of clinical trials (in cancer) and survival analysis. By following the simple example data sets participants should be able to carry out all the statistical tests covered using an appropriate statistical package. An example of each test will be gone through using the statistical package SPSS.
Target Audience
This course is suitable for people with some experience collecting, summarizing and analyzing health data and for those who work with questionnaires which generate scores, randomized controlled trials and simple experimental/study designs.
Basic Text:
P. Armitage, G. Berry & J.N.S. Matthews (2002) Statistical Methods in Medical Research, (4th ed.), Wiley (also available online at: http://onlinelibrary.wiley.com/book/10.1002/9780470773666)
Siegel, S. D. & Castellan, N. J. (1988) Nonparametric Statistics For The Behavioral Sciences, New York; London, McGraw-Hill
Field, A. (2010). Discovering statistics using SPSS for Windows: Advanced techniques for beginners. London, Sage.