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The Effect of Survey Mode and Sampling on Inferences about Political Attitudes and Behavior: Comparing the 2000 and 2004 ANES to Internet Surveys with Nonprobability Samples

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  • Malhotra, Neil
  • Krosnick, Jon A.

Abstract

Since the inception of the American National Election Study (ANES) in the 1940s, data have been collected via face-to-face interviewing in the homes of members of area probability samples of American adults, the same gold-standard approach used by the U.S. Census Bureau, other federal agencies, and some nongovernment researchers for many of the most high-profile surveys conducted today. This paper explores whether comparable findings about voters and elections would be obtained by a different, considerably less expensive method: Internet data collection from nonprobability samples of volunteer respondents. Comparisons of the 2000 and 2004 ANES data (collected via face-to-face interviewing with national probability samples) with simultaneous Internet surveys of volunteer samples yielded many differences in the distributions of variables and in the associations between variables (even controlling for differences between the samples in reported interest in politics). Accuracy was higher for the face-to-face/probability sample data than for the Internet/volunteer sample data in 88% of the possible comparisons. This suggests that researchers interested in assuring the accuracy of their findings in describing populations should rely on face-to-face surveys of probability samples rather than Internet samples of volunteer respondents.

Suggested Citation

  • Malhotra, Neil & Krosnick, Jon A., 2007. "The Effect of Survey Mode and Sampling on Inferences about Political Attitudes and Behavior: Comparing the 2000 and 2004 ANES to Internet Surveys with Nonprobability Samples," Political Analysis, Cambridge University Press, vol. 15(3), pages 286-323, July.
  • Handle: RePEc:cup:polals:v:15:y:2007:i:03:p:286-323_00
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    2. Sakshaug Joseph W. & Wiśniowski Arkadiusz & Ruiz Diego Andres Perez & Blom Annelies G., 2019. "Supplementing Small Probability Samples with Nonprobability Samples: A Bayesian Approach," Journal of Official Statistics, Sciendo, vol. 35(3), pages 653-681, September.
    3. Lindhjem, Henrik & Navrud, Ståle, 2011. "Using Internet in Stated Preference Surveys: A Review and Comparison of Survey Modes," International Review of Environmental and Resource Economics, now publishers, vol. 5(4), pages 309-351, September.
    4. Jessen, Lasse J. & Koehne, Sebastian & Nüß, Patrick & Ruhose, Jens, 2024. "Socioeconomic Inequality in Life Expectancy: Perception and Policy Demand," IZA Discussion Papers 16780, Institute of Labor Economics (IZA).
    5. Magdalena Smyk & Joanna Tyrowicz & Lucas van der Velde, 2021. "A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator," Sociological Methods & Research, , vol. 50(1), pages 429-464, February.
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    7. Klick, Holly & Smith, Eric R.A.N., 2010. "Public understanding of and support for wind power in the United States," Renewable Energy, Elsevier, vol. 35(7), pages 1585-1591.
    8. Catherine Chen & Bo MacInnis & Matthew Waltman & Jon A. Krosnick, 2021. "Public opinion on climate change in the USA: to what extent can it be nudged by questionnaire design features?," Climatic Change, Springer, vol. 167(3), pages 1-18, August.
    9. Vera Toepoel & Hannah Emerson, 2017. "Using experts’ consensus (the Delphi method) to evaluate weighting techniques in web surveys not based on probability schemes," Mathematical Population Studies, Taylor & Francis Journals, vol. 24(3), pages 161-171, July.
    10. Jeffrey R. Brown & Arie Kapteyn & Erzo F.P. Luttmer & Olivia Mitchell, 2012. "Do Consumers Know How to Value Annuities? Complexity as a Barrier to Annuitization," Working Papers WR-924-SSA, RAND Corporation.
    11. Stefano Visintin & Kea Tijdens & Stephanie Steinmetz & Pablo de Pedraza, 2015. "Task implementation heterogeneity and wage dispersion," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-24, December.
    12. Kevin J. Boyle & Mark Morrison & Darla Hatton MacDonald & Roderick Duncan & John Rose, 2016. "Investigating Internet and Mail Implementation of Stated-Preference Surveys While Controlling for Differences in Sample Frames," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(3), pages 401-419, July.
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    14. Guy Grossman & Devorah Manekin & Dan Miodownik, 2013. "The Political Legacies of Combat: Attitudes towards war and peace amongst Israeli ex-combatants," HiCN Working Papers 161, Households in Conflict Network.
    15. Carina Cornesse & Annelies G. Blom, 2023. "Response Quality in Nonprobability and Probability-based Online Panels," Sociological Methods & Research, , vol. 52(2), pages 879-908, May.
    16. Karytsas, Spyridon, 2018. "An empirical analysis on awareness and intention adoption of residential ground source heat pump systems in Greece," Energy Policy, Elsevier, vol. 123(C), pages 167-179.
    17. Karytsas, Spyridon & Theodoropoulou, Helen, 2014. "Socioeconomic and demographic factors that influence publics' awareness on the different forms of renewable energy sources," Renewable Energy, Elsevier, vol. 71(C), pages 480-485.
    18. Grewenig, Elisabeth & Lergetporer, Philipp & Simon, Lisa & Werner, Katharina & Woessmann, Ludger, 2023. "Can internet surveys represent the entire population? A practitioners’ analysis," European Journal of Political Economy, Elsevier, vol. 78(C).
    19. Karytsas, Spyridon & Polyzou, Olympia & Karytsas, Constantine, 2019. "Factors affecting willingness to adopt and willingness to pay for a residential hybrid system that provides heating/cooling and domestic hot water," Renewable Energy, Elsevier, vol. 142(C), pages 591-603.
    20. Lehdonvirta, Vili & Oksanen, Atte & Räsänen, Pekka & Blank, Grant, 2020. "Social Media, Web, and Panel Surveys: Using Non- Probability Samples in Social and Policy Research," OSF Preprints qrwg4, Center for Open Science.

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