Are you about to start collecting data for your thesis, or do you want a recap of how to use SPSS to analyse data? This semester, the Methods Desk will again offer several SPSS refresher workshops, as well as a workshop on designing an advanced survey in Qualtrics.
At the moment the November workshops are full and you can no longer register.
The aim of these workshops is to help students who are starting their thesis remember what they have learnt during their studies. The workshops will be held in English with a practical set-up: we will not go deeply into the mathematics behind statistical analyses. All workshops are divided into different topics, so you can enrol for the topics that you need for your thesis. The workshops will consist of a short lecture and practical exercises, for which we will provide you with a dataset. Even though you are welcome to bring your own data, expect little to no time to answer specific questions.
A well created data-collection instrument is important in order for your data to be valid, complete and in the right format, so that you can actually use it in the analysis stage of your Master’s thesis. In this workshop we will focus on techniques such as survey routing, randomization of answer options, how to adjust the format of the images in your stimuli and how to include videos and hyperlinks in your study. Besides this we will look at the downloading of the data file, as well as its structure in SPSS.
In this session, we will go over the first steps after data has been collected, how to efficiently use SPSS for cleaning a data file. The lecture will include how to split files, select cases, compute and recode new variables, and introduce SPSS Syntax. We’ll also learn the value of descriptive statistics. Additionally, we will also shortly cover power analysis to help you determine the sample size in your experimental studies.
In this session, we will go over how to choose a test and measure of association. Then we will cover chi-square tests, t-tests and (M)ANOVA. This session is especially, but not exclusively, useful for people conducting experiments.
In this session, we will first look at factor analysis and reliability checks. This also includes data preparing, testing assumptions and interpretation. Afterwards we’ll cover linear regression analysis with the scales measuring latent constructs from the first part. This includes preparing your data, testing assumptions and performing and interpreting the actual analysis. We’ll cover both univariate and multivariate regression analysis. This session is especially useful for people who have latent concepts/ constructs as variables in their analysis.
In this session, we’ll cover the more advanced techniques of moderation and mediation analysis. Participants are expected to have sufficient knowledge about both ANOVA and OLS regression. We will cover how these can be done with regression and ANOVA and teach how to perform mediation and moderation tests using Hayes’ PROCESS Macro.