Barcelona, Spain

Probability sampling methods

Applied Sampling aims to provide a practical introduction to methods of survey sampling and estimation, and is the basis of survey statistical inference. Given the importance of survey research across a range of social sciences, this course is of use to anyone interested in conducting a survey to ensure the sample obtained is the best for the research question.

This course provides an overview of sampling techniques frequently used in survey designs. This relies on applied statistical methods focusing on the design of probability samples to be used for data collection. Sample designs are driven by analytic goals of an investigator, but this is not an analysis course. In particular, this course focuses on the principles of designing and selecting samples of individuals. These principles are also discussed in terms of the effects on inference to the population of interest, the key goal of survey research.

This will include both methods for sampling the general population and methods for sampling specialist or minority populations. An introduction to several sampling design will be given, including simple random sampling, stratification, cluster sampling, systematic sampling, and multistage sampling. The will also be discussion of more complex designs, such as probability proportionate designs, as well as on non-probability samples. Applications of these methods for a variety of survey designs will be discussed, and cost, sampling frames, and sampling error estimation techniques will also be addressed.

Practical exercises will be provided for participants to explore how different sample designs are done and the possible impact these designs have on survey estimates. Participants will be also encouraged discuss their own research questions and studies to identify practical sampling solutions, to make the classes more interactive and very practical.

Course leader

Tarek Al Baghal, PhD - Univesity of Essex

Target group

Professionals, Researchers, and Students, who wish to develop high-quality surveys and employ up-to-date statistical methods for survey data analysis. Potential attendees include survey practitioners, marketing professionals, social science students, and researchers.

Fee info

EUR 0: Students: 200€
Researchers: 300€
Professionals: 450€