Description
ETHICS
Appraise the challenges inherent in evaluating and communicating analysis and results.
Analytical models are based on complex data. If any of these are opaque or inaccessible, then the clarity of the outcome is uncertain (or disputed).
Example: Google Flu Trends
CURATION
Discover data for reuse and appreciate the value of data retention beyond the scope for which it was collected or sampled.
Cohort data and open repositories … leading towards the project for this module.
E.g. the various cohort studies (INDEPTH, etc.)
ANALYSIS
Determine appropriate sample sizes and analysis of variance (ANOVA) methods.
Sample sizes, ANOVA, testing means across many groups.
PRESENTATION
Synthesize all you have learned to present new insight from old data.
Prepare students for the project.
CASE STUDY
Example of coffee and depression (could reverse data to demonstrate what the sample may have looked like, and how it could be spurious).
Student project will be to identify a cohort dataset online, and then study that data to produce a short statistical study. They need to take into account all that they have learned.