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.

 

Survey data

Item
Title Body
Teaching ideas: Guides for teaching data analysis

This resource is a collection of short guides designed to make lesson planning more efficient for those teaching data analysis skills. Drawing on real classroom experiences, each guide includes suggested research questions, dataset and exercises:

  • Gender differences in sexual attitudes (PDF) (using the National Survey of Sexual Attitudes and Lifestyles).
  • Risk factors associated with increased levels of systolic blood pressure (PDF) (using the Health Survey for England).
  • The gender gap in life satisfaction (PDF) (using the Opinions and Lifestyle Survey).
  • Public confidence in the police (PDF) (using the Crime Survey for England and Wales).
Building skills in quantitative methods and statistical software

A collection of quantitative methods e-books and accompanying quizzes for direct use in teaching students or for self-study. They aim to build skills in quantitative methods and statistical software and use the Living Costs and Food Survey.

The e-books have been developed through a collaboration of the UK Data Service, National Centre for Research Methods (NCRM), and the Centre for Multi-Level Modelling at the University of Bristol and were created using the StatJR software based on original outputs from the project Using Statistical E-books to teach undergraduate students quantitative methods and statistical software funded by the British Academy.

QAMyData

QAMyData is an easy-to-use, open source tool that provides a health check for numeric data. The tool uses automated methods to detect and report on some of the most common problems in survey or numeric data, such as missingness, duplication, outliers and direct identifiers.

The tool offers a number of configurable tests that have been categorised into four types: file, metadata, data integrity, and identifiers, which can be run on popular file formats, including SPSS, Stata, SAS and CSV. A standard config file has default settings for each test, such as a threshold for pass or fail on various tests (e.g. detect value label that are truncated, email addresses identified as a string, or undefined missing values) which can be easily adapted to meet the user’s own desired thresholds. The configuration feature allows the creation of a unique Data Quality Profile. The software creates a ‘data health check’ that details errors and issues as both a summary and detailed report, providing a location of the failed test. New tests can easily be added. Data depositors and publishers can act on the results and resubmit the file until a clean bill of health is produced.

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

Concepts in data harmonisation

Video is a presentation by Kristi Winters (GESIS), where she discusses key concepts in variable harmonization.

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.

Source
Title Body
UKDS: Teaching with Data
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.