M5 - Data Collection
By the end of this module, you should be able to:
- Identify the defining characteristic of an experiment versus an observational study and the characteristics of a randomized controlled experiment,
- Explain the role of randomization in sampling from a population and in assigning treatments in experiments,
- Describe how lack of randomization can lead to bias both in sampling from a population and in assigning treatments in experiments,
- Differentiate between the use of randomization in sampling from a population and in assigning treatments in experiments,
- Identify the mechanisms that could explain an observed relationship between two variables,
- Critique data collection methods and the validity of resulting conclusions.
Topics covered in this module
Learning resources:
- Sampling (video)
- Observational Studies (video)
- Experiments (video)