Quantitative Research: A Basic Guide
Please note: this is a pre-recorded workshop and is not run live.
This session will provide a conceptual and methodological introduction to quantitative research, which may be of particular use to Doctoral Researchers considering 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.
Aimed atDoctoral researchers
Key learning outcomes
By the end of this session you will:
- Have an improved conceptual and methodological understanding of quantitative research
- Have an understanding of key quantitative research concepts, including variables, hypotheses, probability (and p values), reliability, validity, and Type 1 and 2 errors
- Be able to choose and apply a range of statistical tests of difference and tests of association to a range of different research questions and hypotheses
- Be able to interpret the results/output of these tests and to report the findings in an appropriate format
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