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How to Run Surveys: A Guide to Creating Your Own Identifying Variation and Revealing the Invisible
Open accessAbstract
Surveys are an essential approach for eliciting otherwise invisible factors such as perceptions, knowledge and beliefs, attitudes, and reasoning. These factors are critical determinants of social, economic, and political outcomes. Surveys are not merely a research tool. They are also not only a way of collecting data. Instead, they involve creating the process that will generate the data. This allows the researcher to create their own identifying and controlled variation. Thanks to the rise of mobile technologies and platforms, surveys offer valuable opportunities either to study broadly representative samples or to focus on specific groups. This article offers guidance on the complete survey process, from the design of the questions and experiments to the recruitment of respondents and the collection of data to the analysis of survey responses. It covers issues related to the sampling process, selection and attrition, attention and carelessness, survey question design and measurement, response biases, and survey experiments.
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“To mitigate concerns about hypothetical bias, budget neglect, and sample validity, we follow best practices from both the CV (Bishop et al., 2017;Domínguez and Scartascini, 2024) and survey experiment literatures (Stantcheva, 2023).”
From What is the Best Response? Examining the Impact of Police and Their Alternatives (2025) · cites this paper as Stantcheva, 2023
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Cites
Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk
Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012) · Political Analysis · doi:10.1093/pan/mpr057 · Cited by 4,008
Hainmueller, J., Hopkins, D. J., & Yamamoto, T. (2014) · Political Analysis · doi:10.1093/pan/mpt024 · Cited by 1,990
Information equivalence in survey experiments
Dafoe, A., Zhang, B., & Caughey, D. (2018) · Political Analysis · doi:10.1017/pan.2018.9 · Cited by 356
Research works printed but not linked: 50
- 2021, Perceptions of racial gaps, their causes, and ways to reduce them
- 2023, Immigration and redistribution, Rev. Econ. Stud., 90, 1, 10.1093/restud/rdac011 · DOI
- 2018, Intergenerational mobility and preferences for redistribution, Am. Econ. Rev., 108, 521, 10.1257/aer.20162015 · DOI
- 2015, Evaluating behaviorally motivated policy: experimental evidence from the lightbulb market, Am. Econ. Rev., 105, 2501, 10.1257/aer.20131564 · DOI
- 2006, Priming effects in complex information environments: reassessing the impact of news discourse on presidential approval, J. Politics, 68, 960, 10.1111/j.1468-2508.2006.00483.x · DOI
- 2018, The number of choice tasks and survey satisficing in conjoint experiments, Political Anal, 26, 112, 10.1017/pan.2017.40 · DOI
- 2014, The mind in the middle: a practical guide to priming and automaticity research, 311
- 2008, Testing the stability of an acquiescence style factor behind two interrelated substantive variables in a panel design, Sociol. Methods Res., 36, 542, 10.1177/0049124107313901 · DOI
- 2000, Modeling acquiescence in measurement models for two balanced sets of items, Struct. Equ. Model., 7, 608, 10.1207/S15328007SEM0704_5 · DOI
- 2016, Response biases in standardised surveys
- 2022, Choosing your pond: location choices and relative income, Rev. Econ. Stat., 104, 1010, 10.1162/rest_a_00991 · DOI
- 2008, What triggers public opposition to immigration? Anxiety, group cues, and immigration threat, Am. J. Political Sci., 52, 959, 10.1111/j.1540-5907.2008.00353.x · DOI · Paper page
- 1993, The Phantom Respondents: Opinion Surveys and Political Representation
- 1989, Multigroup comparisons and the assumption of equivalent construct validity across groups: methodological and substantive issues, Multivar. Behav. Res., 24, 503, 10.1207/s15327906mbr2404_7 · DOI
- 1989, Testing for the equivalence of factor covariance and mean structures: the issue of partial measurement invariance, Psychol. Bull., 105, 456, 10.1037/0033-2909.105.3.456 · DOI
- 2000, Assessing extreme and acquiescence response sets in cross-cultural research using structural equations modeling, J. Cross-Cult. Psychol., 31, 187, 10.1177/0022022100031002003 · DOI
- 2021, Increasing precision without altering treatment effects: repeated measures designs in survey experiments, Am. Political Sci. Rev., 115, 1048, 10.1017/S0003055421000241 · DOI
- 2015, Evidence for countercyclical risk aversion: an experiment with financial professionals, Am. Econ. Rev., 105, 860, 10.1257/aer.20131314 · DOI
- 2016, Priming in economics, Curr. Opin. Psychol., 12, 17, 10.1016/j.copsyc.2016.04.019 · DOI
- 2008, Using item response theory to measure extreme response style in marketing research: a global investigation, J. Market. Res., 45, 104, 10.1509/jmkr.45.1.104 · DOI
- 2022, Fighting climate change: international attitudes toward climate policies
- 2014, Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method
- 2020, Time discounting and wealth inequality, Am. Econ. Rev., 110, 1177, 10.1257/aer.20181096 · DOI
- 2018, Time varying risk aversion, J. Financ. Econ., 128, 403, 10.1016/j.jfineco.2018.02.007 · DOI
- 2020, Labor market concerns and support for immigration, J. Public Econ., 191, 104256, 10.1016/j.jpubeco.2020.104256 · DOI
- 2023, Beliefs about racial discrimination and support for pro-Black policies, Rev. Econ. Stat., 105, 40, 10.1162/rest_a_01036 · DOI
- 2020, Designing information provision experiments
- 2015, Validating vignette and conjoint survey experiments against real-world behavior, PNAS, 112, 2395, 10.1073/pnas.1416587112 · DOI · Paper page
- 2020, A comparison of different online sampling approaches for generating national samples
- 2021, Social position and fairness views
- 2014, Using priming manipulations to affect time preferences and risk aversion: an experimental study, J. Behav. Exp. Econ., 53, 36, 10.1016/j.socec.2014.08.006 · DOI
- 2005, The relation between culture and response styles: evidence from 19 countries, J. Cross-Cult. Psychol., 36, 264, 10.1177/0022022104272905 · DOI
- 2005, Structural equation modeling with ordinal variables using LISREL
- 2017, Richer (and holier) than thou? The effect of relative income improvements on demand for redistribution, Rev. Econ. Stat., 99, 201, 10.1162/REST_a_00623 · DOI
- 1999, Survey research, Annu. Rev. Psychol., 50, 537, 10.1146/annurev.psych.50.1.537 · DOI · Paper page
- 1996, Satisficing in surveys: initial evidence, New Dir. Eval., 70, 29
- 2015, How elastic are preferences for redistribution? Evidence from randomized survey experiments, Am. Econ. Rev., 105, 1478, 10.1257/aer.20130360 · DOI
- 2022, Information frictions among firms and households
- 2013, Illegal,” “undocumented,” or “unauthorized”: equivalency frames, issue frames, and public opinion on immigration, Perspect. Politics, 11, 789, 10.1017/S1537592713002077 · DOI
- 2011, Dealing with extreme response style in cross-cultural research: a restricted latent class factor analysis approach, Sociol. Methodol., 41, 13, 10.1111/j.1467-9531.2011.01238.x · DOI
- 2010, Optimizing survey questionnaire design in political science: insights from psychology, 27
- 2022, Writing survey questions, Pew Research Center
- 2000, Agenda-setting, priming, and framing revisited: another look at cognitive effects of political communication, Mass Commun. Soc., 3, 297
- 2009, “How many cases do I need?” On science and the logic of case selection in field-based research, Ethnography, 10, 5, 10.1177/1466138108099586 · DOI · Paper page
- 2021, Understanding tax policy: How do people reason?, Q. J. Econ., 136, 2309, 10.1093/qje/qjab033 · DOI
- 2022, Understanding of trade
- 2017, Designing valid and reliable vignette experiments for survey research: a case study on the fair gender income gap, J. Methods Measur. Soc. Sci., 7, 52
- 2019, Counting the hard to count in a census: select topics in international censuses
- 2022, The subjective inflation expectations of households and firms: measurement, determinants, and implications, J. Econ. Perspect., 36, 157, 10.1257/jep.36.3.157 · DOI
- 2003, Adjustment for acquiescence in the assessment of the construct equivalence of Likert-type score items, J. Cross-Cult. Psychol., 34, 702, 10.1177/0022022103257070 · DOI
Cited by
Sorted by citations
Race to the Bottom: Competition and Quality in Science
Hill, R., & Stein, C. (2025) · The Quarterly Journal of Economics · doi:10.1093/qje/qjaf010 · Cited by 40
What is the Best Response? Examining the Impact of Police and Their Alternatives
Ba, B., Chen, P., Cheng, T., Eies, M., & Holz, J. (2025) · National Bureau of Economic Research · doi:10.3386/w34344 · Cited by 2
Metadata
- Authors
- Stantcheva, S.
- Affiliations
- National Bureau of Economic Research (US)
- Corresponding author
- Stantcheva, Stefanie
- Venue
- Annual Review of Economics
- Publisher
- Annual Reviews
- Published
- 2023-09-13
- Volume
- 15
- Issue
- 1
- Pages
- 205-234
- ISSN
- 1941-1383 (ISSN-L)
- 1941-1391
- OpenAlex
- W4360992037
- Cited by
- 354
- References
- 3
- Citations by year
- 2026: 97 · 2025: 130 · 2024: 80 · 2023: 30
- FWCI
- 16.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Annual Review of Economics (publishedVersion, cc-by)
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
- Keywords
- survey design, survey experiment, participant recruitment, sampling, respondent attrition, response bias, question design, measurement, survey data collection, mobile surveys, attitudes and beliefs
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- CoChat. (2026). Citation check: How to Run Surveys: A Guide to Creating Your Own Identifying Variation and Revealing the Invisible. https://app.cochat.ai/papers/10.1146/annurev-economics-091622-010157
- The paper
- Stantcheva, S. (2023). How to Run Surveys: A Guide to Creating Your Own Identifying Variation and Revealing the Invisible. Annual Review of Economics. https://doi.org/10.1146/annurev-economics-091622-010157