Quantitative Research: A Basic Guide
This session will provide a conceptual and methodological introduction to quantitative research, which may be of particular use to PGR students considering the use of quantitative methods and analyses for the first time, or who feel in need of a ‘friendly’ and straightforward refresher session. Important quantitative concepts such as variables, hypotheses, probability (and p values), reliability, validity, and Type 1 and 2 errors will be defined and a tour will subsequently be taken through a range of statistical tests that can be used to examine both significant associations (correlation and regression) and significant differences (including the t-test, ANOVA, ANCOVA, and MANOVA) in your data set. Each statistical test will be mapped against the kind of research questions/hypotheses it is designed to answer and attendees will be shown how to run each test in principle, to interpret their results/output and to report the findings of each test in an appropriate format. If you’re intending to employ quantitative research techniques in your thesis, but currently feel uncertain about the correct procedure or method of data analysis, this session comes highly recommended.
The Vitae Researcher Development Framework
This session maps on to Domain A of the Vitae Framework: Knowledge and intellectual abilities which includes the sub-domain areas of:
- A1: Knowledge base
- A2: Cognitive abilities
- A3: Creativity