Quantitative data analysis

This is a collection of resources dedicated to teachers, trainers and their students but could also be useful to researchers and the general public. It includes guides, e-books, slides and webinars covering a wide range of topics: quantitative methods, statistical software, teaching data analysis, data visualisation, qualitative methods and psychosocial approaches.

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.

EOSC-Synergy training platform is set of tools for the creation and conduction EOSC related training courses. It facilitates cloud related courses providing tools for interactive computing. The platform is based on the container’s technologies, that allows for combining together in a suitable learning setup for students/training participants.

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 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.

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

During this Train the Trainer course, Kristi Winters (GESIS) discusses key concepts in variable harmonization.

Service based on Jupyter Notebook enables the creation and sharing of documents containing “live” code, equations, visualisations and texts. It allows to write simple programs, numerical simulations, statistical modeling, data visualization and much more.

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

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.