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Game made to enhance researcher knowledge. Enhances our own knowledge of what people know. Generates discussion on library services in general which we can follow up. Testing with library staff highlighted areas where we need to make more support available for them.

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.

ICPSR has a number of video presentations that address a variety of topics on their YouTube Channel. Including Drs. Dave Armstrong's and Christian Davenport's video on a real-world example of data visualization using Shiny. They discuss conceptualization and measurement of conflict in quantitative data and demonstrate how to produce graphics to convey their findings. 

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.

Learn principles and strategies for engaging with global communities through partnerships, research, service, and learning.

This course is for anyone — from novices to experienced practitioners — who wants to work more effectively with community members and organizations, including through, but not limited to:

• community-academic partnerships
• social change projects
• community service and learning
• education and work abroad
• traditional and community-based participatory research
• non-profit internships
• public scholarship
• civic performance

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.

DigCurV, was a project funded by the European Commission’s Leonardo da Vinci programme to establish a curriculum framework for vocational training in digital curation launched today.

Europe’s digital sector has seen strong growth in recent years. The pace of development and change in the information technology sector presents challenges to cultural institutions responsible for management and long-term preservation of digital collections. Ensuring that staff gain access to the necessary training is a challenge that institutions face. A Market and Trend Analysis Report completed by DigitalPreservationEurope shows that digital preservation is becoming one of the main strategic priorities for institutions – they are increasingly aware that digital resources are fragile and that they are at risk.

DigCurV addressed the availability of vocational training for digital curators in the library, archive, museum and cultural heritage sectors needed to develop new skills that are essential for the long-term management of digital collections.