Principles and Practices of Quantitative Data Analysis (2 half day sessions)
|Qualitative Data Analysis Services|
Dr Sarah L. Bulloch
02/03/2022 - 03/03/2022
Sarah Bulloch, email@example.com
Get to grips with the principles and activities involved in doing quantitative data analysis in this workshop
This course is split into two online sessions :
Wednesday 3rd March 13.30 - 17.30 GMT / 08.30-12.30 EST
Thursday 4th March 13.30 - 17.30 GMT / 08.30-12.30 EST
Who is this course for?
It is designed for postgraduate students and early career researchers planning to work with quantitative data in any discipline.
Course overview and aims
This course provides a high-level overview to the principles and practices of undertaking quantitative data analysis. It is designed for postgraduate students and early career researchers planning to work with quantitative data in any discipline. The course focuses on key aspects to consider before embarking upon a quantitative analysis, as a precursor to learning statistical methods and the use of software. The course combines discussion, demonstration and hands-on exercises.
Please note: the course does not teach participants how to use analysis software such as SPSS, STATA or R.
By the end of the course, participants will be able to:
Format and documentation
This course is delivered in a series of live online sessions during the day that combine discussion, demonstration and hands-on exercises. Participants have the opportunity to discuss their quantitative projects with each other, and with the facilitators. Participants are provided with slide decks, reading lists and resources to further knowledge about the topics covered during the day.
Sarah L Bulloch, PhD is a senior associate of QDA Services and teaching fellow at the CAQDAS Networking Project at the University of Surrey, UK. Sarah has expertise in both quantitative and qualitative analysis techniques and has applied them in academic, public sector, private and third sector contexts. Her PhD explored the relationship between social trust and gender using large scale population datasets and applying multivariate linear regression, multivariate logistic regression, multi-level modelling and structural equation modelling. Her current work and research centres around enabling others to apply research methods in a meaningful, robust and flexible way.
About QDA Services
QDA Services provide tailored and flexible training, consultancy, coaching and analysis for qualitative, quantitative and mixed-methods researchers. We specialize in facilitating high-quality analysis through the powerful use of digital tools. Our website provides information about our work, including our pedagogy - the Five-Level QDA method, which underpins the way we think about, undertake and teach methods and tools.
Entry (no or almost no prior knowledge)
£130 students / £160 general
Website and registration
Related publications and presentations