Researcher

A collection of quantitative methods e-books and accompanying quizzes for direct use in teaching students or for self-study. E-books 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.

The resource can serve both as an introduction to the Malaise Inventory - an established scale to measure signs of psychological distress - and as an introduction to quantitative analysis using SPSS. The data and resources are aimed for use with undergraduates and postgraduates and are designed to be used with SPSS (the data are also made available in Stata and tabdelimited formats).

This resource includes a guide on how to access data, an introduction to the established set of survey questions that measures psychological distress - the Malaise Inventory - and a number of data analysis exercises using SPSS.

Tutors can use this resource to create an assignment that enable students to learn to engage with a genuine, real-life piece of research. They are asked to complete specific tasks whilst working within word limits. 

This resource provides generic templates for both the tutor's pack and feedback sheets that can be adapted for courses in different sociological thematic areas. These are in MS Word so that they can be adapted as needed.

This teaching resource provides instructors and students with materials designed to assist in teaching qualitative interviewing.

Interviewing is a frequently used method in social research with its suitability being entirely dependent on the particular research question. Qualitative interviewing is generally distinguished from questionnaire-based interviewing, even if the form of communication, such as face-to face conversation, may be the same.

The resource provides brief summaries of several different interviewing techniques and each summary is accompanied by full transcripts or excerpts and the interview schedule (or guidance notes). It concludes with selected references and practical suggestions for how to use the materials for teaching.

This teaching resource provides instructors and students with materials designed to assist in teaching qualitative methods of data collection.

This resource provides brief summaries of some of the different ways in which researchers can collect qualitative data, including focus groups, diaries, online data collection, and visual methods. Each summary is accompanied by an illustrative data sample from the extensive collections held by the UK Data Archive.

The course includes a series of recorded videos, quizes, and practical assignments that will allow you to go through the course at your own pace. It invites researchers, students, trainers and data professionals and any other individual that is looking to gain basic knowledge on Open Science, EOSC and best practices for FAIR data.

This course is an introduction to Open Science principles in biomedicine, life sciences and other related research fields. It is intended to help scientists to share their research with the world more effectively.

The ARDC Training Materials Metadata Checklist aims to support learning designers, training materials creators, trainers and national training infrastructure providers to capture key information and apply appropriate mechanisms to enable sharing and reuse of their training materials.

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.

ORION - Open Responsible research and Innovation to further Outstanding kNowledge is a 4-year project (runs from May 2017 to September 2021) that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Science with and for Society (SWAFS) Work Programme. The main aim of the SWAFS Programme is to build effective cooperation between science and society. Open science is a core strategy of the European Commission that involves widening participation and collaboration as well as sharing research processes and outcomes to improve research and innovation.