Quantitative data analysis

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 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.

Webinar on free and open source qualitative analysis tools. Presentation of the free software Taguette and Qcoder.

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.

ICPSR is the world's largest archive of digital social science data. They acquire, preserve, and distribute original research data and provide training in its analysis. They also offer access to publications based on their data holdings.The training resources were created especially for undergraduate faculty and students. While any of ICPSR's data and tools can be used in the classroom, the ones provided on their webpage make it easy for instructors to set up data-driven learning experiences. The materials can be used as the basis for assignments, as an in-class or study exercise, for lecture content, or any other way you see fit. All resources are provided under a Creative Commons (attribution) License.

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.

IASSIST Professional Developement Committee organizes and hosts IASSIST Community Webinars. Webinars usually last about 45-60 minutes. Some of the topics have for example been data visualization, qualitative analysis tools, and data curation. Webinars are recorded and made available on the IASSIST YouTube Channel.