Authors | |
Data Type(s) | Check Sheet |
Date of Publication | 2020-10-08 |
Facilities | |
Awards | Institute for Catastrophic Loss Reduction | N/A National Science Foundation | 1841338 |
Related Work | Linked Dataset | CONVERGE Extreme Events Research Check Sheets Series Linked Dataset | CONVERGE Training Modules |
Keywords | Sampling; Field Research Preparation; Training; Social Science; Natural Hazards |
DOI | 10.17603/ds2-ygx8-eh29 |
License | Creative Commons Attribution |
This publication summarizes some of the most commonly used sampling methods in social science hazards and disaster research. Specifically, it offers definitions for and examples of convenience, purposeful, total population, and representative sampling. This information can help researchers decide how to select participants based on their study’s aims, the population under study, and the setting they are entering. About the CONVERGE Extreme Events Research Check Sheets Series: The National Science Foundation-supported CONVERGE facility at the Natural Hazards Center at the University of Colorado Boulder has developed a series of short, graphical check sheets that are meant to be used as researchers design their studies, prepare to enter the field, conduct field research, and exit the field. The series offers best practices for extreme events research and includes check sheets that are free to the research community. More information is available at: https://converge.colorado.edu/resources/check-sheets.