These resources are targeted at Early Career Researchers who would like to learn new quantitative methods or extend their knowledge in this area.
These various guides, worksheets, and videos will also help any researcher, in any stage of their career, who wants to widen their expertise and develop new quantitative analysis skills.
Resources: Quantitative Analysis Documents
Q-Step Sheffield has developed numerous “How to Guides” and helpful videos on how to conduct different methodologies for different statistical analysis programmes, including SPSS, R, and Stata.
SPSS “How to” Guides and Videos
These guides provide guidance on how to recode variables and run and interpret regression in SPSS. We have also created videos that demonstrate how to use STATA to make histograms, conduct regression, setting missing values, among other useful methods.
R “How to” Guides
These resources provide a range of guidance on various statistical analysis methods using R, including textual analysis, principal component analysis, and factor analysis.
STATA “How to” Guides
These resources provide guidance on how to conduct statistical analysis in STATA using methods such as Multivariate Linear Regression and Bivariate analysis.
Time Series “How to” Guide
This guide takes you through an example of time series data and time series analysis, using data from the World Bank.
Accessing Data “How to” Guides
These documents provide useful information and guidance on how to use data from the UK Data Service and the UK Census.
“Communicating your Research”
This lecture video series consist of 10 mini-series, comprising of 3-5 short videos, that explores and discusses the best way to communicate your research using data visualisation. In these series, we will examine and think about the role that data visualisation plays in society, how different visualisations might be prepared for different audiences, and ‘best practice’ factors to consider when creating your own graphs in order to clearly and effectively communicate your research.
- Data Visualisation Series 1 - Introduction to Data Vis
- Data Visualisation Series 2 - The Grammar of Graphics
- Data Visualisation Series 3 - Tufte’s Principles of Data Visualisation
- Data Visualisation Series 4 - Colours and Shapes
- Data Visualisation Series 5 - Seeing Data
- Data Visualisation Series 6 - Maps
- Data Visualisation Series 7 - More Maps and Boundaries
- Data Visualisation Series 8 - Telling Stories
- Data Visualisation Series 9 - Covid-19 and Data Visualisation
- Data Visualisation Series 10 - Finding Datasets
Data Visualisation - Instructional “R” Guides
These detailed 9 Lab Worksheets walk you through the creation of data visualisations using R software. They are simple, straightforward and also a great introduction to statistical analysis. Through these worksheets we learn how to create bar graphs, scatter plots, maps and even interactive data visualisations!
- We have made a short video to accompany each worksheet in order to ease you into the labs - we recommend watching them!
- When an error message comes up in your console, the simplest way to resolve the problem is to google them (feel free to copy paste them into your browser search engine). Use helpful forums such as ‘Stackoverflow” and the RStudio community boards to troubleshoot different solutions.
Links to accompanying videos:
Why Numbers Matter
SMI's series on why it's important to get numbers right.
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