This module aims at training students in the development of a sampling strategy and the selection of sample units for specific types of sampling methods.
More specifically, by the end of the module, students should be able to, accordingly to a research question and an appropriate study design to answer to that question:
– Critically select the type of sample to be drawn and justify their choice
– Develop a sampling strategy that includes: identification of basic sample units and means to effectively reach those basic sample units (e.g., sampling frames, selection of BSU)
Accredited as a TropEd advanced course
Start date: 4th september 2018
End date: 15th september 2018
Number of places
Students attending this course should have previous knowledge (definition and major features, advantages and disadvantages) on simple random sampling, stratified sampling, quota sampling, cluster sampling, systematic sampling, snowball sampling, respondent driven sampling.
In the first part of the course, concepts on sampling will be reviewed and will cover
1. Introduction to sampling:
1.1. What makes a good sample? Considerations about representativeness, external and internal validity;
1.2. Sampling and non-sampling errors: random errors, bias and confounders.
2. From designing a good sample to choosing sampling units:
2.1. Common sample designs in epidemiology and major features: simple random sampling, stratified sampling, quota sampling, cluster sampling, systematic sampling, snowball sampling, respondent driven sampling;
After reviewing the contents above mentioned, we will focus on how to design effective sampling strategies, i.e, how to go from the theoretical sampling procedure to really getting the basic sample units needed to answer the research question. Thus, we will focus on:
3. choice of sampling frames and sampling units according to a given type of sample, preparing field work (e.g., preparing manuals for guaranteeing that those collecting data are able to select the BSU with a minimum bias possible.
Open until beginning of September 2017 (limited number of vacancies).
Students should have prior knowledge on types of samples and their basic design and on computation of sample size.
Students should be proficient in English or Portuguese.
Level of English proficiency expected: TOEFL test score 213 computer-based or 550 paper-based or 79-80 internet-based or IELTS band 6.0.
Students admitted to a Public Sciences related Master’s Degree Programme may join this course (e.g. tropEd Network).