Simple significance tests, bivirate correlations, T-tests, one way analysis of Variance (ANOVA) and their non-parametric equivalents.
Once we are confident that we are conducting the right analysis for the right reasons (covered in STATS 1), we can begin to carry out some simple tests. This session will go through some of the most common statistical techniques that are used to look at pairs of variables. We will cover measures of association (ie is there a relationship between two variables, such that they vary together in a recognisable pattern?) and tests of difference (ie are there differences between the variables that are bigger than one might expect to find by chance alone?). We will also look at the different kinds of tests we can use when we have the classic bell-curve distribution (known as ‘parametric statistics) and when we do not.
PLEASE NOTE THAT YOU ARE REQUIRED TO HAVE ATTENDED AND COMPLETED SPSS 1 BEFORE ATTENDING THIS COURSE.
PLACES ON THIS COURSE ARE LIMITED TO 15.
This course is delivered by Mike Eslea from the School of Psychology.