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Reaching Migrants in Survey Research: The Use of the Global Positioning System to Reduce Coverage Bias in China

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  • Landry, Pierre F.
  • Shen, Mingming

Abstract

List-based samples are often biased because of coverage errors. The problem is especially acute in societies where the level of internal migration is high and where record keeping on the population is not reliable. We propose a solution based on spatial sampling that overcomes the inability to reach migrants in traditional area samples based on household lists. A comparison between a traditional study and our sample of Beijing demonstrates that coverage bias is greatly reduced. The successful incorporation of mobile urban residents has important substantive effects, in both univariate and multivariate analyses of public opinion data.

Suggested Citation

  • Landry, Pierre F. & Shen, Mingming, 2005. "Reaching Migrants in Survey Research: The Use of the Global Positioning System to Reduce Coverage Bias in China," Political Analysis, Cambridge University Press, vol. 13(1), pages 1-22, January.
    • Handle: RePEc:cup:polals:v:13:y:2005:i:01:p:1-22_00
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    Citations

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    Cited by:

    1. Jason Y Wu, 2019. "A spatial valence model of political participation in China," Journal of Theoretical Politics, , vol. 31(2), pages 244-259, April.
    2. Chen, Juan & Chen, Shuo & Landry, Pierre F., 2013. "Migration, environmental hazards, and health outcomes in China," Social Science & Medicine, Elsevier, vol. 80(C), pages 85-95.
    3. James K. Hammitt & Fangli Geng & Xiaoqi Guo & Chris P. Nielsen, 2019. "Valuing mortality risk in China: Comparing stated-preference estimates from 2005 and 2016," Journal of Risk and Uncertainty, Springer, vol. 58(2), pages 167-186, June.
    4. Juan Chen & Shuo Chen & Pierre F. Landry, 2015. "Urbanization and Mental Health in China: Linking the 2010 Population Census with a Cross-Sectional Survey," IJERPH, MDPI, vol. 12(8), pages 1-13, July.
    5. Poteete, Amy R. & Ostrom, Elinor, 2008. "Fifteen Years of Empirical Research on Collective Action in Natural Resource Management: Struggling to Build Large-N Databases Based on Qualitative Research," World Development, Elsevier, vol. 36(1), pages 176-195, January.
    6. Juan Chen & Lin Gong & Shenghua Xie, 2021. "Psychological Distress in Urbanizing China: How Does Local Government Effectiveness Matter?," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    7. Chen, Juan, 2011. "Internal migration and health: Re-examining the healthy migrant phenomenon in China," Social Science & Medicine, Elsevier, vol. 72(8), pages 1294-1301, April.
    8. H. Christoph Steinhardt & Jan Delhey, 2020. "Socio-Economic Modernization and the “Crisis of Trust” in China: A Multi-level Analysis of General and Particular Trust," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(3), pages 923-949, December.
    9. John Gibson & David McKenzie, 2007. "Using Global Positioning Systems in Household Surveys for Better Economics and Better Policy," The World Bank Research Observer, World Bank, vol. 22(2), pages 217-241, September.
    10. Yao‐Yuan Yeh & Robert Harmel, 2021. "Identifying and Understanding Distinctive Political Attitudes of Chinese Migrant Workers: A Research Note," Social Science Quarterly, Southwestern Social Science Association, vol. 102(1), pages 154-165, January.
    11. Weihua An & Adam N. Glynn, 2021. "Treatment Effect Deviation as an Alternative to Blinder–Oaxaca Decomposition for Studying Social Inequality," Sociological Methods & Research, , vol. 50(3), pages 1006-1033, August.

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