Case Study: Productivity Costs of Quota Sampling in Uganda

Case Study: Productivity Costs of Quota Sampling in Uganda

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IPA Uganda conducted a random digit dial (RDD) survey on consumer protection issues with a completely virtual phone bank and a quota sampling protocol meant to cover a broad selection of adults in the country. Quota sampling involves placing calls until a quota is reached for each combination of respondent characteristics, whose prevalence in the target population is believed to be known. It is a good way to achieve samples that are representative along key dimensions. In some cases, it can increase time and monetary costs substantively to meet quotas for rare combinations of respondent characteristics. 

January 25, 2021