Deductive philosophy and simple empirical methods
Please note: This training has been re-arranged. All students booked on to the original date do not need to re-book.
This online workshop has been organised by the Sustainable Growth, Management and Economic Productivity (SMP) Pathway and is open to all SMP Pathway ESRC and non-ESRC funded PhD and MA Social Research students within the WRDTP’s seven partner universities.
This workshop will introduce PhD researchers to deductive investigatory philosophy and epistemology, before outlining a number of simple empirical methods of inquiry. The three hour session will initially cover research philosophy, and issues such as research paradigms versus research traditions, the role of theory development, and then focus on simple empirical methods such as correlation analysis, descriptive statistics, OLS regression models and binary outcome models (Probit and Logit). Participants will also be given the opportunity to explore article topics and issues that may be derived from their own thesis, whilst considering how these may fit with potential journal audiences.
- Explain how deductive philosophy applies to the knowledge creation within their own doctoral research
- Explain the contrast between various descriptive statistics in describing the underlying empirical dataset
- Explain the contexts where correlation analysis is applied and is useful
- Discuss the differences between Logit/Probit models and OLS regression models
This training session will be delivered via Blackboard Collaborate.
PLEASE NOTE: Our online training sessions will be recorded and will be available on the VIRE in an edited format for those students who cannot attend. If you wish to join this session but do not wish for your contributions to be included in the edited VIRE resource, please ensure that you select NO when prompted in the online booking form regarding recording.