Quantitative Methods - training manuals
Manuals from the following training workshops previously run by AQMeN are now available as shared resources:
- Introduction to Regression for Categorical Data
- Introduction to Multilevel Modelling using MLwiN
- Introduction to Structural Equation Modelling using Mplus
- Introduction to Longitudinal Analysis
- Introduction to Cluster Analysis
- Cluster Analysis using R
- Graphs and Graphical Representation: Getting a bit more out of Stata graphics
- Regression Diagnostics and Model building in Stata
- Mixed Methods Tools for Content and Sentiment Analysis
- Introduction to data wrangling and visualisation with R
For details of what is covered by each module, click on the course heading.
If you would like to receive a copy of any of the materials, please complete a manuals request form. In order for AQMeN to monitor use of these manuals, you are required to notify us of your intended use as detailed on the form.
Please note that each manual comes with its own legal copyright statement and these materials must not be copied, distributed or used as a teaching aid without the express permission of the owner. If you wish to make such a request please contact email@example.com
An essential requirement of our funding is to demonstrate any impact that AQMeN has had for its members. In order to do this we require to obtain feedback on all materials, services and events that we provide. By requesting training materials you agree to be contacted by AQMeN in the future and to provide feedback on these materials when requested.
The UK data service is a website containing all many datasets. It offers a few different ways to search for data, including different methodological categories, search by a key word, and searching by specific questions. The website requires registration to access the datasets themselves, and is free for any student or staff member in a UK university.
The UK Data Service website provides a unified point of access to more than 6,000 collections of high quality social and economic data, including UK Census data, government-funded surveys, longitudinal studies, international macrodata, qualitative data and business microdata.