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.
|Data Skills Modules||
These introductory level interactive modules are designed for users who want to get to grips with key aspects of survey, longitudinal and aggregate data.
Modules can be conducted in your own time and you are able to dip in and out when needed. The modules give an introduction to key aspects of the data using short instructional videos, interactive quizzes and activities using open access software where possible.
Each module stands alone but those with little experience of surveys may find it useful to start with the Survey Data Module before moving on to the Longitudinal Data Module.
Modules include: Survey Data, Longitudinal Data, Aggregate Data
|ODI Webinars and Courses||
A variety of courses and webinars available upon registration. Some of them are free of charge. Main topics include: Data and responsibility, big data, data for business analytics, data in the public sector, data ecosystem mapping, sharing data, data skills, applying machine learning and AI techniques to data, data ethics
|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 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.
A simple procedure to correct for measurement errors in survey research.
|UK Data Service: Data Skills||
This source includes interactive modules designed for users who want to get to grips with key aspects of survey, longitudinal and aggregate data as well as tools that can be used to assess and improve data quality.
Modules can be conducted in your own time and you are able to dip in and out when needed. The modules give an introduction to key aspects of the data using short instructional videos, interactive quizzes and activities using open access software where possible. Tools include guides, documentation and exercises.
|The Carpentries Workshops||
The Carpentries teaches in-person or online workshops around the world on the foundational skills to work effectively and reproducibly with data and code. Our certified volunteer Instructors are trained in pedagogy and focus on creating a motivating and engaging environment for learners. Our workshops are inclusive and hands-on, empowering students to learn new skills and build confidence in using them in their work.
|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 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.