The interactive flash videos below will show you how to do more complex things with SPSS, including comparing sets of data with multiple variables.
In this section we will start to consider more complicated analyses (specifically, the analysis of data when we have multiple independent variables). Here, you will find a series of interactive tutorials designed to guide you through these more complicated statistical tests using SPSS. (You do not need to be working on a computer with SPSS installed.)
A two-way independent analysis of variance (ANOVA) is an extension of one-way independent ANOVA. In this case it is used to analyse the results from an entirely between-participants design with two independent variables (where participants are only assigned to one condition for each variable) and one dependent variable. This tutorial will interactively talk you though how to run this test in SPSS, and interpret the output produced.
A two-way repeated measures analysis of variance (ANOVA) is used when you have two independent variables in a within-participants design experiment. This means that participants give data for all possible experimental conditions. This tutorial will interactively show you how to use SPSS to run this test, and interpret the output produced.
This tutorial will walk you through how to run and interpret a two-way mixed analysis of variance (ANOVA) in SPSS. You would use this test when you have one dependent variable, and two independent variables: one which is within-participants and another which is between-participants.
Multiple regression is an extension of simple linear regression. It allows you to investigate the relationship between multiple variables simultaneously… but more than that, it allows you to model this relationship, enabling you to make predictions about what one variable will do based on the scores of some other variables. This tutorial will show you how to carry out and interpret a multiple regression analysis in SPSS.