This course organised by Responsible Research in Practice consists of three 3-hour webinar sessions (including discussion activities utilising the group chat function, polls, individual activities and breaks).
Session one will cover:
- Understanding, identifying, minimising variation and its impact.
- How the scientific question and experimental design influence the choice of statistical analysis method.
- What summary statistics are available and when to use them.
- Why and how to transform your data, plus strategies for dealing with outliers.
- The structure of a significance test using a two-sample t-test as an example.
Session two will cover:
- What measures of precision should be used and when, including SD Vs SEM plus confidence interval.
- Non-parametric statistical tests and other simple tests to compare more complex data sets.
- Basics of ANOVA and why it should often be used instead of multiple t-tests.
Session three will cover:
- What experimental designs and data features require an extension to statistical analysis methods such as ANOVA and how to incorporate them.
- ANOVA for randomised block designs and factorial treatment structures
- Analysis of Covariance, ANCOVA Vs Change from Baseline.
- Assumptions of ANOVA and ANCOVA.