III-a Sampling Techniques for Development Evaluation II

Prerequisite: Workshop II-c “Sampling Techniques for Development Evaluation Part I” or knowledge of sampling techniques

In this workshop, participants will focus on (1) how to determine sample size for both qualitative and quantitative evaluation, (2) how to sample hard-to-reach populations, (3) cluster sampling for health-related surveys, and (4) two-stage and multi-stage sampling. Participants will review and critique the sampling used in three cases: identifying ex-child soldiers in Congo, marijuana farmers in São Paolo, and female sexual workers in Rwanda. Participants will learn how and when to apply two common sampling methods used for hard-to-reach populations—time location sampling and respondent driven sampling. Secondly, participants will explore how to use basic cluster sampling techniques to address issues that arise in monitoring health interventions. Participants will learn how to (a) sample from each target population and (b) determine important sampling parameters such as sample size and stratification criteria for client or staff samples. This workshop is hands-on and participants are invited to bring their own cases—either completed or in progress—as well as sampling issues they would like to discuss.


Detailed Outline

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Instructors