Do supplemental list frames for subpopulations increase subpopulation sampling efficiency? Evidence from the National Household Food Acquisition and Purchase Survey
Autor: | Zhang, Shiyu, Kirlin, John A., Page, Elina T., Zhang, Xingyou, West, Brady T. |
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Rok vydání: | 2020 |
Předmět: |
Sozialwissenschaften
Soziologie Social sciences sociology anthropology Dual-frame sampling recruitment efficiency sampling efficiency small subpopulations Supplementary Nutrition Assistance Program SNAP Erhebungstechniken und Analysetechniken der Sozialwissenschaften Methods and Techniques of Data Collection and Data Analysis Statistical Methods Computer Methods Stichprobentheorie Stichprobe Umfrageforschung USA Befragung Privathaushalt sampling theory sample survey research United States of America survey private household |
Zdroj: | Survey Methods: Insights from the Field, 1-11 |
Druh dokumentu: | Zeitschriftenartikel<br />journal article |
ISSN: | 2296-4754 |
DOI: | 10.13094/SMIF-2020-00012 |
Popis: | Multiple-frame sampling has been regarded as a device for increasing efficiency in identifying small subpopulations. However, there has been a lack of empirical evidence in supporting the efficiency of the multiple-frame approach and in guiding best practices. The current study focuses on a special scenario in which two frames were used to recruit sample members. Using paradata from the U.S. National Household Food Acquisition and Purchase Survey (FoodAPS), the current analysis focuses on recruiting households that received Supplementary Nutrition Assistance Program (SNAP) as a sub-goal of the survey sampling. SNAP households account for around one-fifth of the general U.S. population, compared to a survey goal of 30 percent of responding households. Our findings were consistent with theoretical expectations. Having and using additional SNAP list frames improved the efficiency of identifying SNAP households as opposed to screening a general address-based sample frame. This efficiency remained even as the SNAP list frames aged. |
Databáze: | SSOAR – Social Science Open Access Repository |
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