Events
July
2020
July
2020
July
2020

Scaling State Machine Replication

Faculty of Informatics
September
2020
September
2020

SPSS and Statistics Refresher (pre-workshop)

This optional 2-day workshop will be held by Professor Horber on Friday and Saturday, the week before the regular workshops starts.

This preparatory workshop will only be held if at least 10 participants have registered by mid-June and the number of participants is not limited.
It is free of charge for participants attending a regular workshop; it can be booked by itself for a fee (200CHF).

Workshop contents and objectives

As several workshops will use SPSS or assume skills with SPSS for data preparation and management as as well as some skills with statistics the purpose of this two-day workshop is to offer optimal learning and teaching conditions by helping you to refresh knowledge and skills that you have acquired previously or that need some updating and refreshing. This workshop is highly recommended for all those who need to strengthen or refresh their skills with SPSS and basic to intermediate statistics.

The aim of this two-day effort will be an opportunity to brush up and deepen your skills with data preparation, data management and basic to intermediate statistics using IBM SPSS Software. or learn to use SPSS, if you are familiar with other statistical packages.

During this workshop you will work on your own through a sequence of exercises and guided explorations using an e-learning approach. Depending on your past experience and your research needs, you can spend more or less time on a particular topic. We will be around to provide guidance and help you in case of difficulties.

Topics covered

  1. Data and data management
  • Create a data file (survey example) including documentation, data cleaning and verification
  • Transformations: Simple and complex recodes, scale building and other tasks required to prepare data for analysis
  • Data management tasks like subsetting files, merging files etc.
  1. Statistics refresher
  • Univariate analysis and diagnosis
  • Relationships: Crosstabs, association, scatterplots, analysis of variance
  • More details on regression (model building, dummy variables)
  1. Further topics
  • Preparing output for publication (graphics and tables)
  • Working styles: Output management, prevent disaster etc.
  • SPSS and Statistics related learning and information resources

Prerequisites
You should have some minimal background - even rusty - in statistics and data analysis.