Sampling design
This is the landing page for everything related to how you select a subset of occasions and/or individuals from the total population of occasions and individuals you want to generalize your results to.
The way your sampling procedure is designed will directly impact what you will be able to capture about your construct. This depends for example on the distribution of your construct in reality, the presence of missing data, and how you select a subset of occasions and units from your poulation.
Think more about your sampling design
We have collected various topics for you to read more about below.
Ideally, your sample distribution closely resembles the real-world distribution of your construct.
- Distributions
- [Discrete vs continuous constructs]
- Floor and ceiling effects
The sampling procedure may introduce missing data.
- [Missing observations]
- [Night gaps in sampling designs]
The sampling design determines how often you sample from the population of occasions.
- [Timing of measurements]
- Time span, process coverage, and granularity
- [Ecological Momentary Assessment versus Ecological Retrospective Assessment]
- [Measuring rare events]
The sampling design determines how many units you sample from the population of units.
- [Sampling designs]
- Time span, process coverage, and granularity