T12 — Sampling Design & Analysis
Day, Time, Duration
Thursday morning, 9 am‑1 pm, 4h
Language Offered
English
Short Description
The planned tutorial is intended to provide participants with a general understanding of the purpose and application of various sampling methods in practice. The four-hour tutorial will first explain why random sampling is necessary to ensure generalizability of scientific findings. Subsequently, some selected sampling methods (simple random sampling, systematic sampling, stratified random sampling and lumped sampling) will be discussed in more detail. Both the methodology itself and the advantages and disadvantages associated with each method in practice will be discussed. In addition, the specifics that need to be considered in the statistical analysis of the sample will be explained for each sampling method discussed. As a simple example, the estimation of the mean and variance of a continuous variable of a target population using a single sample is used. As part of this procedure, important concepts such as systematic error, sampling precision, and analysis weights will be covered. After successfully completing this tutorial, participants should:
- Understand the role of sampling in empirical research.
- Be able to judge the difference between appropriate and inappropriate sampling methods depending on the research question.
- Understand why sampling must be considered when statistically analyzing data.
Subject Requirements
No prior knowledge on the part of the participants is necessary. Basic knowledge of statistics and probability (introductory course) is an advantage, but not required.
Technical Requirements
Sheet and pencil and a calculator are sufficient to participate in the course.
Organizer
Robin Denz
Institution
Ruhr University Bochum, Department of Medical Informatics, Biometry and Epidemiology, Bochum
Contact
denz [at] amib.ruhr-uni-bochum.de