The SSH Training Discovery Toolkit provides an inventory of training materials relevant for the Social Sciences and Humanities.

Use the search bar to discover materials or browse through the collections. The filters will help you identify your area of interest.



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ALLEA Events & Publications

ALLEA regularly produces a wide range of scientific and science-policy publications and recommendations, webinars and events responding to on-going issues and debates, in anticipation of upcoming challenges at the science-society-policy interface.

ESS EduNet

ESS EduNet is a training resource mainly developed for use in higher education. The ambition is to create a social science laboratory where theoretical questions can be explored using high quality empirical data.The resource is based on the European Social Survey. There are 10 subtopics and all of them would be useful to be included. The texts and data available from ESS EduNet are available without restrictions, for not-for-profit purposes. The producers (NSD and the ESS), the authors and the dataproducer should be cited.

RDA Trainings & Webinars

RDA offers a series of training webinars, face-to-face workshops, hackathons/datathons partly organized as “summer schools” and special meetings on request. The topics will be primarily related with RDA recommendations and outputs, but it will also address general topics facilitating data sharing and re-use, interviews with notable people and information sessions such as reports from RDA plenaries.

UK Copyright Literacy

Decoding copyright and bringing you enlightenment - a blog from Chris Morrison and Jane Secker. Chris is Copyright, Licensing and Policy Manager at the University of Kent and Jane is Senior Lecturer in Educational Development at City, University of London.

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Latent variable modelling

In the analysis of a cross-national survey such as the European Social Survey (ESS), many research questions naturally involve comparisons between countries. In latent variable modelling, these questions can be formulated as multigroup models where the country of a respondent is treated as an explanatory variable for the latent variables. This allows us to examine differences between countries in the distributions of the latent constructs. Multigroup models can also be used to assess cross-national measurement equivalence, that is whether the measurement of the latent variables by the observed items is comparable across the countries. Such multigroup models are one of the topics of this module.


Analysing cross sectional survey data using linear regression methods: A ‘hands on’ introduction using ESS data’ is by Associate Professor Odd Gåsdal of the Department of Sociology at the University of Bergen. He provides an introduction to some of the basic questions that are relevant when analysing cross sectional survey data using regression methods. Gåsdal has lectured for many years on quantitative research methods in the social sciences.

Multilevel models

Multilevel analysis has become popular in many fields of social research. This module starts with a basic introduction to OLS regression, and then continues with the more advanced technique of multilevel analysis. The author of Learning Multilevel Analysis is Kristen Ringdal, who is professor of Sociology at NTNU (the Norwegian University of Science and Technology). Ringdal has been the national coordinator for the ESS in Norway since 2001.

Measurement errors

A simple procedure to correct for measurement errors in survey research.

"Exercise Modules: Exploring Data Through Research Literature Investigating Community and Social Capital Voting Behavior: The 2016 Election (SETUPS) Exercises at the Social Science Research & Instructional Center, using the 2014 General Social Survey"

These resources are made up of sequenced activities. While assignments may be created using a few of the exercises in a set, the full package must be used to meet the stated learning objectives for each. Exercise Sets are often appropriate for Research Methods courses and more substantively focused courses.

Data-Driven Learning Guides

These standardized exercises introduce (or reinforce) key concepts in the social sciences by guiding students through a series of questions and related data analyses. Analyses are preset so students can focus on content rather than mechanics of data analysis. To assist instructors with selection, guides are also categorized by the most sophisticated statistical test presented in the exercise.