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HBO/WO

MBO

June 16, 2026

Open Education menu

We created a ready-to-use menu with 17 different Open Education practices to be implemented in your education. With each practice turned into its own dish and recipe, you can easily see how the practice can be implemented, with its difficulty level and examples. The goal is to provide you with ideas and examples on how to implement Open Science practices into your education. Or use the menu as a starting point for conversations about open educational practices with colleagues! Already an expert? The menu can also be used for a 1-hour workshop on Open Educational practices for others interested in Open Science. Let the participants select a dish from the menu they are interested in, and help them to adapt the dish so they can turn their own ideas into real practices.

Presentation

Jeroen Bosman, Ilcan Çiftcibaşi, Anneke van der Dussen, Ruud Dielen, Marie-Louise Goudeau, Pim Huijnen, Susanne Kirchhoff, Marc van Mil, Hanne Oberman, Annelies Pieterman-Bos

March 3, 2026

Crash course SPSS syntax

Standalone assignment. A very basic, step-by-step introduction to SPSS and SPSS syntax. Uses data from the European Social Survey as example.

Document

Alex Lehr

March 3, 2026

Quick and dirty multilevel regression with SPSS syntax assignment

SPSS syntax assignment for teaching the basics of multilevel modeling. For when you need to teach or learn the basics but don't have a lot of time for it. Covers pooled OLS, fixed-effects and random effects (null model, intraclass-correlation, random intercept models with covariates at different levels, random slope models, and cross-level interactions). Uses European Social Survey data. Includes questions. Intended to be used in conjunction with a preceeding lecture.

Document

Alex Lehr

June 6, 2025

Multilevel modeling for social scientists

The course builds on the knowledge and skills acquired in the previous methods courses. The course will introduce students to multivariate analyses of nested data using multilevel modeling techniques. The course focuses on the theory and application of fixed and, in particular, random effects models. Using data from the European Social Survey, the students will learn how to estimate and interpret such as models using Stata.

Document

Alex Lehr

August 10, 2023

Research Data Management: Open Data

What is Open Data? Open Data is data that anyone can access, use and share. Open Data challenges intelligent and creative minds to provide societal value. Open Data applications allow us to make better use of existing resources and create new products and services. Open Data is also one of the cornerstones of Open Science, a concept central to science practitioners and policy makers of today, promoting (re)use of research data and results amongst scientists, the business community and society as a whole. Open Data and academic research In academia, Open Data are used in humanities and cultural heritage research communities (e.g. Journal of Open Humanities Data (JOHD), Europeana); Open Data are also common in the life sciences (e.g. Elixer) and in economics (e.g. World Bank). Some open datasets can be useful to explore societally relevant questions relevant to current policy debates and topics of interest to specific demographics. Open Data is also important for educational purposes (e.g., see Bishop & Kuula-Luumi, 2017). Open Data applications Open Data helps to create (new) value for societies, citizens and businesses. There are now several examples of successful startups with innovative applications of Open Data. Appealing examples are available in health, transport, energy and the environmental sector (see ODINE for examples). I want to work with Open Data. Where to start, who to contact? A good starting point for information and inspiration on “all things” Open Data is the Open Data Handbook. This online handbook provides case studies, learning resources and networked information on Open Data. Related. Support.

Website

Erasmus University Library

February 1, 2021

Linear and logistic regression for social scientists

A course on the theory and application of one the most widely applied methods in the social sciences: regression analysis. Learn about what it is, how it works, when it’s (not) useful.

Video

Alex Lehr

November 20, 2020

Handleiding SPSS voor beginners

Het gevreesde SPSS is voor veel studenten een nachtmerrie. In dit artikel leggen we uit hoe jij verzamelde data analyseert en visualiseert met SPSS. We schrijven in jip-en-janneketaal, zodat het voor iedereen begrijpelijk is. Aan het eind geven we je praktische tips om beter te worden met SPSS.

UASWebsite

Bijles BijelsHuis

May 8, 2018

07-25: Measurement - ASSIGNMENT 4: HOW TO USE SPSS?

In this assignment the following items will be explained regarding this assignment: The aim of this assignment is to get to know SPSS and practice some basic aspects of this statistical program.

Document

Henk van der Kolk

May 8, 2018

10-23: Data analysis (descriptive)- ASSIGNMENT 4: HOW TO USE SPSS?

In this assignment the following items will be explained regarding this assignment: The aim of this assignment is to get to know SPSS and practice some basic aspects of this statistical program.

Document

Henk van der Kolk

May 8, 2018

10-13: Data analysis (descriptive)- micro lecture SPSS FOR ABSOLUTE BEGINNERS

In this micro lecture the following items will be explained regarding this lecture: A basic introduction to SPSS. Stop de video every now and then, ‘do’ it.

Website

Henk van der Kolk