Probability sampling in population-based behavioral health surveys : lessons from Thailand /
Population-based behavioral health surveys that are representative of a defined population are important because the data obtained can guide health promotion policies and interventions for at-risk groups. However, to produce scientifically sound evidence, several issues surrounding sampling need to...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications Ltd,
2020.
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| Series: | SAGE Research Methods Cases : Medicine and Health.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Population-based behavioral health surveys that are representative of a defined population are important because the data obtained can guide health promotion policies and interventions for at-risk groups. However, to produce scientifically sound evidence, several issues surrounding sampling need to be overcome before and during implementation. These issues include selecting sampling methods, obtaining the sampling frame, calculating sampling weights, and dealing with nonresponse. This case study provides an example of a stratified two-stage cluster sampling survey conducted in 2014. The survey was to be representative of people aged 15-64 years in Chiang Mai, Thailand, a city with a population of approximately 1.6 million people. The key lessons learned from conducting the survey revolve around balancing between the ideal study design and available resources and materials as well as being prepared to handle the different scenarios which may arise when trying to minimize nonresponse. In the end, the survey was able to recruit a sample of 1,744 participants (92% response rate), which was representative of the source population. |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781529735536 152973553X |