Cited by 2,420Survey Methodology and NonresponseSurvey Sampling and Estimation TechniquesCensus and Population Estimation

The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.

Nonresponse Rates and Nonresponse Bias in Household Surveys

Groves, Robert M.·2006·Public Opinion Quarterly

DOI 10.1093/poq/nfl033

Open this paper in CoChat — free account

Abstract

Many surveys of the U.S. household population are experiencing higher refusal rates. Nonresponse can, but need not, induce nonresponse bias in survey estimates. Recent empirical findings illustrate cases when the linkage between nonresponse rates and nonresponse biases is absent. Despite this, professional standards continue to urge high response rates. Statistical expressions of nonresponse bias can be translated into causal models to guide hypotheses about when nonresponse causes bias. Alternative designs to measure nonresponse bias exist, providing different but incomplete information about the nature of the bias. A synthesis of research studies estimating nonresponse bias shows the bias often present. A logical question at this moment in history is what advantage probability sample surveys have if they suffer from high nonresponse rates. Since postsurvey adjustment for nonresponse requires auxiliary variables, the answer depends on the nature of the design and the quality of the auxiliary variables.

Integrity signals

Registry

Crossref · 10.1093/poq/nfl033

Cites

80 of 80 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,385
The Practice of Social Research
Neustadtl, A., & Babbie, E. R. (1989) · Teaching Sociology · doi:10.2307/1318433 · Cited by 14,434
Statistical Analysis with Missing Data
Little, R. J. A., & Rubin, D. B. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781119013563 · Cited by 8,473
The Practice of Social Research.
Williams, D. G., & Babbie, E. R. (1976) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2062956 · Cited by 7,234
Mail and Telephone Surveys: The Total Design Method.
Babbie, E. R., & Dillman, D. A. (1982) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2068433 · Cited by 6,859
Mail and Telephone Surveys: The Total Design Method.
Osmond, M. W., & Dillman, D. A. (1979) · Social Forces · doi:10.2307/2577403 · Cited by 5,023
Approaches to Social Research
Dowdall, G. W., Singleton, R. A., Straits, B. C., Straits, M. N., & McAllister, R. J. (1989) · Teaching Sociology · doi:10.2307/1317936 · Cited by 2,821
Calibration Estimators in Survey Sampling
Deville, J.-C., & Särndal, C.-E. (1992) · Journal of the American Statistical Association · doi:10.1080/01621459.1992.10475217 · Cited by 1,735
Nonresponse In Household Interview Surveys
Ziegel, E., Groves, R., & Couper, M. (1998) · Technometrics · doi:10.2307/1271375 · Cited by 1,283
Self-citation

Show all 80 references

Research works printed but not linked: 15

AAPOR, 2006, Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Survey
Bogen, 1996, The Effect of Questionnaire Length on Response Rates: A Review of the Literature, 1020
Botman, 1992, Survey Design Features Correlates of Nonresponse, 309
Brick, 2003, No. 8: 2002 NSAF Response Rates
Brick, 2003, Dealing with Movers in a Longitudinal Study of Children, 2
Brunner, 1969, The Effect of Prior Notification on the Refusal Rate in Fixed Address Surveys, Journal of Advertising, 9, 42
Cannell, 1963, A Study of the Reporting Visits to Doctors in the National Health Survey
Deville, 1991, A Theory of Quota Surveys, Survey Methodology, 17, 163
Ekholm, 1991, Weighting via Response Modeling in the Finnish Household Budget Survey, Journal of Official Statistics, 7, 1325
Groves, 2004, Survey Methodology
Luppes, 2000, A Content Analysis of Advance Letters from Expenditure Surveys of Seven Countries, Journal of Official Statistics, 11, 461
Merkle, 2002, Nonresponse in Exit Polls: A Comprehensive Analysis, 243
Nealon, 1983, The Effects of Male vs. Female Telephone Interviewers, 139
Office of Management and Budget (OMB), 2006, Questions and Answers When Designing Surveys for Information Collections
Stephan, 1958, Sampling Opinions

Sorted by citations

Items 701–800 of 1,002

Recruitment of women veterans into suicide prevention research: Improving response rates with enhanced recruitment materials and multiple survey modalities
Gaeddert, L. A., Schneider, A. L., Miller, C. N., Monteith, L. L., Brenner, L. A., Katon, J. G., & Hoffmire, C. A. (2020) · Research in Nursing & Health · doi:10.1002/nur.22065 · Cited by 29
Applying Motivation Theory to Achieve Increased Respondent Satisfaction, Response Rate and Data Quality in a Self-administered Survey
Wenemark, M., Persson, A., Brage, H. N., Svensson, T., & Kristenson, M. (2011) · Journal of Official Statistics · Cited by 31
Should the Third Reminder be Sent? The Role of Survey Response Timing on Web Survey Results
Rao, K., & Pennington, J. R. (2013) · International Journal of Market Research · doi:10.2501/ijmr-2013-056 · Cited by 31
Associations among Park Use, Age, Social Participation, and Neighborhood Age Composition in Montreal
Moore, S., Gauvin, L. I., Daniel, M., Kestens, Y., Böckenholt, U., Dubé, L., & Richard, L. (2010) · Leisure Sciences · doi:10.1080/01490400.2010.488193 · Cited by 31
Support for the Survey Sponsor and Nonresponse Bias
Groves, R. M., Presser, S., Tourangeau, R., West, B. T., Couper, M. P., Singer, E., & Toppe, C. (2012) · Public Opinion Quarterly · doi:10.1093/poq/nfs034 · Cited by 31
Self-citation
Attachment to God, Vocational Calling, and Worker Contentment
Kent, B. V., Bradshaw, M., & Dougherty, K. D. (2016) · Review of Religious Research · doi:10.1007/s13644-016-0250-9 · Cited by 31
No evidence of response bias in a population-based childhood cancer survivor questionnaire survey — Results from the Swiss Childhood Cancer Survivor Study
Rueegg, C. S., Gianinazzi, M. E., Michel, G., Zwahlen, M., von der Weid, N., Kuehni, C. E., & and the Swiss Paediatric Oncology Group (SPOG) (2017) · PLoS ONE · doi:10.1371/journal.pone.0176442 · Cited by 31
Survey of anesthesiologists’ practices related to steep Trendelenburg positioning in the USA
Souki, F. G., Rodriguez‐Blanco, Y. F., Polu, S. R., Eber, S., & Candiotti, K. A. (2018) · BMC Anesthesiology · doi:10.1186/s12871-018-0578-5 · Cited by 31
Utilizing professional accounting concepts to understand and respond to academic dishonesty in accounting programs
Bujaki, M. L., Lento, C., & Sayed, N. (2019) · Journal of Accounting Education · doi:10.1016/j.jaccedu.2019.01.001 · Cited by 31
Assessing general public and policy influencer support for healthy public policies to promote healthy eating at the population level in two Canadian provinces
Kongats, K., McGetrick, J. A., Raine, K. D., Voyer, C., & Nykiforuk, C. I. J. (2019) · Public Health Nutrition · doi:10.1017/s1368980018004068 · Cited by 33
The Effect of Survey Mode on Data Quality: Disentangling Nonresponse and Measurement Error Bias
Felderer, B., Kirchner, A., & Kreuter, F. (2019) · Journal of Official Statistics · doi:10.2478/jos-2019-0005 · Cited by 31
Using Decision Tree to Predict Response Rates of Consumer Satisfaction, Attitude, and Loyalty Surveys
Han, J. W., Fang, M., Ye, S., Chen, C., Wan, Q., & Qian, X. (2019) · Sustainability · doi:10.3390/su11082306 · Cited by 34
Participation rate and demographic profile in recreational angling in The Netherlands between 2009 and 2017
van der Hammen, T., & Chen, C. (2020) · Fisheries Research · doi:10.1016/j.fishres.2020.105592 · Cited by 31
Gastric Emptying Scans: Poor Adherence to National Guidelines
Wise, J. L., Vázquez‐Roque, M. I., McKinney, C. J., Zickella, M., Crowell, M. D., & Lacy, B. E. (2020) · Digestive Diseases and Sciences · doi:10.1007/s10620-020-06314-2 · Cited by 31
Racial/Ethnic and Income Disparities in the Prevalence of Comorbidities that Are Associated With Risk for Severe COVID-19 Among Adults Receiving HIV Care, United States, 2014–2019
Weiser, J. K., Tie, Y., Beer, L., Fanfair, R. N., & Shouse, R. L. (2020) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000002592 · Cited by 31
Student Loan Debt, Family Support, and Reciprocity in the Transition to Adulthood
Mazelis, J. M., & Kuperberg, A. (2022) · Emerging Adulthood · doi:10.1177/21676968221080007 · Cited by 31
National Couples’ Health and Time Study: Sample, Design, and Weighting
Dush, C. M. K., Manning, W. D., Berrigan, M. N., Marlar, J., van Bergen, A., Theodorou, A., Tsabutashvili, D., & Chattopadhyay, M. (2023) · Population: Research and Policy Review · doi:10.1007/s11113-023-09799-7 · Cited by 23
Predictors of Nonresponse in a Questionnaire-Based Outcome Study of Vocational Rehabilitation Patients
Burrus, C., Ballabeni, P., Dériaz, O., Gobelet, C., & Lüthi, F. (2009) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2009.03.014 · Cited by 31
Multiple Sources of Nonobservation Error in Telephone Surveys: Coverage and Nonresponse
Peytchev, A., Carley-Baxter, L. R., & Black, M. C. (2011) · Sociological Methods & Research · doi:10.1177/0049124110392547 · Cited by 31
Exploring the Determinants of the Perceived Risk of Food Allergies in Canada
Harrington, D. W., Elliott, S. J., Clarke, A. E., Ben‐Shoshan, M., & Godefroy, S. B. (2012) · Human and Ecological Risk Assessment An International Journal · doi:10.1080/10807039.2012.722857 · Cited by 31
Surveying Human Vulnerabilities across the Life Course
Oris, M., Roberts, C., Joye, D., & Stähli, M. E. (2016) · Life course research and social policies · doi:10.1007/978-3-319-24157-9 · Cited by 33
Atlanta households’ willingness to increase urban forests to mitigate climate change
Tran, Y. L., Siry, J. P., Bowker, J. M., & Poudyal, N. C. (2017) · Urban forestry & urban greening · doi:10.1016/j.ufug.2017.02.003 · Cited by 31
Role of impulsiveness in online purchase completion intentions: an empirical study among Indian customers
G., R., & Asokan-Ajitha, A. (2021) · Journal of Indian Business Research · doi:10.1108/jibr-04-2018-0132 · Cited by 30
Adequacy of Reporting Results of School Surveys and Nonresponse Effects: A Review of the Literature and a Case Study
Kano, M., Franke, T. M., Afifi, A. A., & Bourque, L. B. (2008) · Educational Researcher · doi:10.3102/0013189x08326859 · Cited by 30
Mode Matters: Evaluating Response Comparability in a Mixed-Mode Survey
Bowyer, B. T., & Rogowski, J. C. (2015) · Political Science Research and Methods · doi:10.1017/psrm.2015.28 · Cited by 30
Associations between nutrition risk status, body composition and physical performance among community‐dwelling older adults
Chatindiara, I., Williams, V., Sycamore, E., Richter, M., Allen, J. E., & Wham, C. A. (2018) · Australian and New Zealand Journal of Public Health · doi:10.1111/1753-6405.12848 · Cited by 30
Unconventional Monetary Policy and Wealth Inequalities in Great Britain*
Evgenidis, A., & Fasianos, A. (2020) · Oxford Bulletin of Economics and Statistics · doi:10.1111/obes.12397 · Cited by 30
The Long-Term Impact of Different Offline Population Inclusion Strategies in Probability-Based Online Panels: Evidence From the German Internet Panel and the GESIS Panel
Cornesse, C., & Schaurer, I. (2021) · Social Science Computer Review · doi:10.1177/0894439320984131 · Cited by 30
Measurement and adjustment of non-response bias based on non-response surveys: the case of Belgium and Norway in the European Social Survey Round 3
Matsuo, H., Billiet, J., Loosveldt, G., Berglund, F., & Kleven, Ø. (2010) · Survey research methods · doi:10.18148/srm/2010.v4i3.3774 · Cited by 30
Neighborhood Environment Is Associated with Overweight and Obesity, Particularly in Older Residents: Results from Cross-Sectional Study in Dutch Municipality
Putrik, P., van Amelsvoort, L. G. P. M., de Vries, N. K., Mujakovic, S., Kunst, A. E., OERS, H. A. M. V., Jansen, M. W. J., & Kant, I. (2015) · Journal of Urban Health · doi:10.1007/s11524-015-9991-y · Cited by 30
Medication Monitoring for People with Dementia in Care Homes: The Feasibility and Clinical Impact of Nurse-Led Monitoring
Jordan, S. E., Gabe, M., Newson, L. R., Snelgrove, S. R., Panes, G., Picek, A., Russell, I. T., & Dennis, M. (2014) · The Scientific World JOURNAL · doi:10.1155/2014/843621 · Cited by 31
The Cultivation, Mainstreaming, and Cognitive Processing of Environmentalists Watching Television
Good, J. E. (2009) · Environmental Communication · doi:10.1080/17524030903229746 · Cited by 30
Safety during night shifts: a cross-sectional survey of junior doctors’ preparation and practice
Jackson, E. J., & Moreton, A. (2013) · BMJ Open · doi:10.1136/bmjopen-2013-003567 · Cited by 30
Effectiveness of a Social Marketing Media Campaign to Reduce Oral Cancer Racial Disparities
Watson, J. M., Tomar, S. L., Dodd, V. J. N., Logan, H. L., & Choi, Y. (2009) · Journal of the National Medical Association · doi:10.1016/s0027-9684(15)31005-1 · Cited by 30
Methodological challenges in assessing general population reactions in the immediate aftermath of a terrorist attack
Rubin, G. J., Amlôt, R., Page, L., & Wessely, S. C. (2008) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.270 · Cited by 30
Is social capital as perceived by the medical director associated with coordination among hospital staff? A nationwide survey in German hospitals
Gloede, T. D., Hammer, A., Ommen, O., Ernstmann, N., & Pfaff, H. (2012) · Journal of Interprofessional Care · doi:10.3109/13561820.2012.724125 · Cited by 30
Race/Ethnic and Social-Demographic Correlates of Religious Non-Involvement in America
Brown, R. K., Taylor, R. J., & Chatters, L. M. (2015) · Journal of Black Studies · doi:10.1177/0021934715573168 · Cited by 30
Does Questionnaire Distribution Promote Blood Donation? An Investigation of Question–Behavior Effects
van Dongen, A., Abraham, C., Ruiter, R. A. C., & Veldhuizen, I. J. T. (2012) · Annals of Behavioral Medicine · doi:10.1007/s12160-012-9449-3 · Cited by 30
Well water testing in African-American communities without municipal infrastructure: Beliefs driving decisions
Stillo, F., de Bruin, W. B., Zimmer, C., & Gibson, J. M. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.05.317 · Cited by 30
Green Emerging Digital Technologies, Green Supply Chains, and the Performance of Environmentally Friendly Firms: The Underpinning Role of Human Resources
Fiorini, P. D. C., Jabbour, C. J. C., Latan, H., Jabbour, A. B. L. D. S., & Mariano, E. B. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3210470 · Cited by 29
Characteristics of service users and provider organisations associated with experience of out of hours general practitioner care in England: population based cross sectional postal questionnaire survey
Warren, F. C., Abel, G., Lyratzopoulos, G., Elliott, M. N., Richards, S. H., Barry, H. E., Roland, M. O., & Campbell, J. (2015) · BMJ · doi:10.1136/bmj.h2040 · Cited by 29
Customer gratitude in relationship marketing strategies: a cross-cultural e-tailing perspective
Huggins, K. A., White, D., Holloway, B., & Hansen, J. (2020) · Journal of Consumer Marketing · doi:10.1108/jcm-08-2019-3380 · Cited by 25
Proactive policing in the United States: a national survey
Koper, C. S., Lum, C. M., Wu, X., & Fritz, N. (2020) · Policing An International Journal · doi:10.1108/pijpsm-06-2020-0086 · Cited by 28
Psychological drivers of risk‐reducing behaviors to limit human–wildlife conflict
Lischka, S. A., Teel, T. L., Johnson, H. E., Larson, C. L., Breck, S. W., & Crooks, K. R. (2020) · Conservation Biology · doi:10.1111/cobi.13626 · Cited by 30
Recruiting a Probability-Based Online Panel via Postal Mail: Experimental Evidence
Cornesse, C., Felderer, B., Fikel, M., Krieger, U., & Blom, A. G. (2021) · Social Science Computer Review · doi:10.1177/08944393211006059 · Cited by 29
Steel passive state stability in activated fly ash mortars
Fernández‐Jiménez, A., Miranda, J. M., González, J. A. V., & Palomo, A. (2010) · Materiales de Construcción · doi:10.3989/mc.2010.53909 · Cited by 29
Who Engages in Work–Family Multitasking? A Study of Canadian and American Workers
Schieman, S., & Young, M. C. (2014) · Social Indicators Research · doi:10.1007/s11205-014-0609-7 · Cited by 34
Deployment of a Mixed‐Mode Data Collection Strategy Does Not Reduce Nonresponse Bias in a General Population Health Survey
Beebe, T. J., McAlpine, D. D., Ziegenfuss, J. Y., Jenkins, S. M., Haas, L. R., & Davern, M. E. (2012) · Health Services Research · doi:10.1111/j.1475-6773.2011.01369.x · Cited by 29
Opportunities and challenges in the expansion of cross-national survey research
Smith, S. N., Fisher, S. D., & Heath, A. (2011) · International Journal of Social Research Methodology · doi:10.1080/13645579.2011.611386 · Cited by 29
Why Do Respondents Break Off Web Surveys and Does It Matter? Results From Four Follow-up Surveys
Steinbrecher, M., Roßmann, J., & Blumenstiel, J. E. (2014) · International Journal of Public Opinion Research · doi:10.1093/ijpor/edu025 · Cited by 29
Underestimated Health Inequalities Among Older People—A Consequence of Excluding the Most Disabled and Disadvantaged
Kelfve, S. (2017) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbx032 · Cited by 29
Surgical and non-surgical treatment of frozen shoulder. Survey on surgeons treatment preferences
Kwaees, T. A., & Charalambous, C. P. (2019) · Muscles Ligaments and Tendons Journal · doi:10.32098/mltj.04.2014.05 · Cited by 29
Distributional Implications of Joint Tax Evasion
Nygård, O. E., Slemrod, J., & Thoresen, T. O. (2018) · The Economic Journal · doi:10.1111/ecoj.12619 · Cited by 29
Survey mode and nonresponse bias: A meta-analysis based on the data from the international social survey programme waves 1996–2018 and the European social survey rounds 1 to 9
Rybak, A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0283092 · Cited by 34
A novel approach to voice of customer extraction using GPT-3.5 Turbo: linking advanced NLP and Lean Six Sigma 4.0
Shahin, M., Chen, F. F., Hosseinzadeh, A., Maghanaki, M., & Eghbalian, A. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-024-13167-w · Cited by 33
Einkommensmessungen in Haushaltspanelstudien für Deutschland: Ein Vergleich von EU-SILC und SOEP
Frick, J. R., & Krell, K. (2011) · AStA Wirtschafts- und Sozialstatistisches Archiv · doi:10.1007/s11943-011-0107-1 · Cited by 28
Is the Collection of Interviewer Observations Worthwhile in an Economic Panel Survey? New Evidence from the German Labor Market and Social Security (PASS) Study
West, B. T., Kreuter, F., & Trappmann, M. (2014) · Journal of Survey Statistics and Methodology · doi:10.1093/jssam/smu002 · Cited by 28
Hunter perceptions and acceptance of alternative deer management regulations
Cornicelli, L. J., Fulton, D. C., Grund, M. D., & Fieberg, J. (2011) · Wildlife Society Bulletin · doi:10.1002/wsb.51 · Cited by 28
Examining the Role of Supportive Family Connection in Violence Exposure Among Male Youth in Urban Environments
Culyba, A. J., Ginsburg, K. R., Fein, J. A., Branas, C. C., Richmond, T. S., Miller, E. P., & Wiebe, D. J. (2016) · Journal of Interpersonal Violence · doi:10.1177/0886260516646094 · Cited by 28
Design and Weighting Methods for a Nationally Representative Sample of HIV-infected Adults Receiving Medical Care in the United States-Medical Monitoring Project
Iachan, R., Johnson, C. H., Harding, R. L., Kyle, T. M., Saavedra, P., Frazier, E. L., Beer, L., Mattson, C. L., & Skarbinski, J. (2016) · The Open AIDS Journal · doi:10.2174/1874613601610010164 · Cited by 28
Rural-urban variation in informal work activities in the United States
Jensen, L., Tickamyer, A. R., & Slack, T. (2019) · Journal of Rural Studies · doi:10.1016/j.jrurstud.2019.02.009 · Cited by 28
“Splitting the bill” for conservation: Perceptions and uptake of financial incentives by landholders managing privately protected areas
Selinske, M. J., Howard, N., FITZSIMONS, J. A., Hardy, M. J., & Knight, A. T. (2022) · Conservation Science and Practice · doi:10.1111/csp2.12660 · Cited by 28
Lifetime victimization and past year alcohol use in a U.S. population sample of men and women drinkers
Nayak, M. B., Lown, E. A., Bond, J. C., & Greenfield, T. K. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.11.016 · Cited by 28
Church-Based Social Relationships and Change in Self-Esteem Over Time
Krause, N. (2009) · Journal for the Scientific Study of Religion · doi:10.1111/j.1468-5906.2009.01477.x · Cited by 30
Coverage, Access, and Affordability under Health Reform: Learning from the Massachusetts Model
Long, S. K., Stockley, K., & Nordahl, K. (2012) · INQUIRY The Journal of Health Care Organization Provision and Financing · doi:10.5034/inquiryjrnl_49.04.03 · Cited by 28
Job and Professional Leaving Among Newly Licensed RNs
Unruh, L. Y., Zhang, N. J., & Chisholm, L. (2014) · Western Journal of Nursing Research · doi:10.1177/0193945914559290 · Cited by 33
Who will not deliberate? Attrition in a multi-stage citizen deliberation experiment
Karjalainen, M., & Rapeli, L. (2014) · Quality & Quantity · doi:10.1007/s11135-014-9993-y · Cited by 28
Protective Effects of Adolescent–Adult Connection on Male Youth in Urban Environments
Culyba, A. J., Ginsburg, K. R., Fein, J. A., Branas, C. C., Richmond, T. S., & Wiebe, D. J. (2016) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2015.10.247 · Cited by 28
Perceived discrimination against immigrants in the workplace
Enoksen, E. (2016) · Equality Diversity and Inclusion An International Journal · doi:10.1108/edi-07-2015-0058 · Cited by 31
Does Missing Data in Studies of Hard-to-Reach Populations Bias Results? Not Necessarily
Bolland, A. C., Tomek, S. E., & Bolland, J. M. (2017) · Open Journal of Statistics · doi:10.4236/ojs.2017.72021 · Cited by 28
Reexamining the associations among community attachment, community-oriented actions, and individual-level constraints to involvement
Theodori, G. L. (2017) · Community Development · doi:10.1080/15575330.2017.1391307 · Cited by 28
How Corporate Social Responsibility Influences Organizational Commitment: a Psychosocial Process Mediated by Organizational Sense of Community
D’Aprile, G., & Talò, C. (2015) · Employee Responsibilities and Rights Journal · doi:10.1007/s10672-015-9265-6 · Cited by 34
Chapter 4 Socioeconomic Position, Poverty, and Family Research
Emerson, E., & Hatton, C. (2009) · International review of research in mental retardation · doi:10.1016/s0074-7750(09)37004-4 · Cited by 44
The HIPAA Authorization Form and Effects on Survey Response Rates, Nonresponse Bias, and Data Quality: A Randomized Community Study
Beebe, T., Talley, N. J., Camilleri, M., Jenkins, S., Anderson, K., & Locke, G. (2007) · Medical Care · doi:10.1097/mlr.0b013e31805468b0 · Cited by 28
Response Quality in Telephone Surveys
Medway, R. L., & Tourangeau, R. (2015) · Public Opinion Quarterly · doi:10.1093/poq/nfv011 · Cited by 27
Associations of attitudes towards electronic cigarettes with advertisement exposure and social determinants: a cross sectional study
Reinhold, B., Fischbein, R. L., Bhamidipalli, S. S., Bryant, J., & Kenne, D. R. (2017) · Tobacco Induced Diseases · doi:10.1186/s12971-017-0118-y · Cited by 27
Exploring the real-world decision-making of novice and experienced teachers
Lloyd, C. A. (2017) · Journal of Further and Higher Education · doi:10.1080/0309877x.2017.1357070 · Cited by 27
An Official American Thoracic Society Workshop Report: Presentations and Discussion of the Sixth Jack Pepys Workshop on Asthma in the Workplace
Tarlo, S. M., Malo, J., Frederic de, B. L. A. Y., Moual, N. L., Henneberger, P. K., Heederik, D. J. J., Raulf, M., Carlsten, C., & Cartier, A. (2017) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201706-508st · Cited by 31
Should We Be Concerned About Nonresponse Bias in College Student Surveys? Evidence of Bias from a Validation Study
Standish, T., & Umbach, P. D. (2018) · Research in Higher Education · doi:10.1007/s11162-018-9530-2 · Cited by 2
Pediatric Clinician Comfort Discussing Diagnostic Errors for Improving Patient Safety: A Survey
Grubenhoff, J. A., Ziniel, S. I., Cifra, C. L., Singhal, G., McClead, R. E., & Singh, H. (2020) · Pediatric Quality & Safety · doi:10.1097/pq9.0000000000000259 · Cited by 27
Explaining variance in perceived research misbehavior: results from a survey among academic researchers in Amsterdam
Haven, T. L., Tijdink, J. K., Martinson, B. C., Bouter, L. M., & Oort, F. J. (2021) · Research Integrity and Peer Review · doi:10.1186/s41073-021-00110-w · Cited by 27
Exploring customers’ zone of tolerance for B2B professional service quality
Ho, A., Sharma, P., & Hosie, P. J. (2015) · Journal of Services Marketing · doi:10.1108/jsm-06-2014-0212 · Cited by 30
Issues Facing the Field: Alternative Practical Measures of Representativeness of Survey Respondent Pools
Groves, R. M., Brick, J. M., Couper, M. P., Kalsbeek, W. M., Harris-Kojetin, B. M., Kreuter, F., Pennell, B., Raghunathan, T., Schouten, B., Smith, T., et al. (2008) · Survey Practice · doi:10.29115/sp-2008-0013 · Cited by 27
Self-citation
Impact of Business Intelligence and IT Infrastructure Flexibility on Competitive Advantage: An Organizational Agility Perspective.
Chen, X. (2012) · Lincoln (University of Nebraska) · Cited by 27
Assessing the Measurement Error Properties of Interviewer Observations of Neighbourhood Characteristics
Casas-Cordero, C., Kreuter, F., Wang, Y., & Babey, S. H. (2012) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2012.01065.x · Cited by 27
Is physician-patient concordance associated with greater trust for women of low socioeconomic status?
Scheid, T. L., & Smith, G. H. (2016) · Women & Health · doi:10.1080/03630242.2016.1202881 · Cited by 26
Health Care Provider Perceptions of Consumer-Grade Devices and Apps for Tracking Health: A Pilot Study
Holtz, B., Vasold, K. L., Cotten, S. R., Mackert, M., & Zhang, M. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9929 · Cited by 31
A Total Survey Error Perspective on Surveys in Multinational, Multiregional, and Multicultural Contexts
Pennell, B., Hibben, K. C., Lyberg, L. E., Mohler, P. P., & Worku, G. (2017) · doi:10.1002/9781119041702.ch9 · Cited by 27
Race/Ethnicity, Religion and Partisan Leanings
Brown, R. K., & Brown, R. E. (2015) · Review of Religious Research · doi:10.1007/s13644-014-0206-x · Cited by 26
Bureaucratic Bashing and Praising: What Effect Does it Have on the Performance Citizens Assign Agencies?
Caillier, J. G. (2020) · Public Organization Review · doi:10.1007/s11115-020-00464-7 · Cited by 26
The baseline examinations of the German National Cohort (NAKO): recruitment protocol, response, and weighting
Rach, S., Sand, M., Reineke, A., Becher, H., Greiser, K. H., Wolf, K., Wirkner, K., Schmidt, C. O., Schipf, S., Jöckel, K., et al. (2025) · European Journal of Epidemiology · doi:10.1007/s10654-025-01219-8 · Cited by 26
Pediatricians’ oral health recommendations for 0- to 3-year-old children: results of a survey in Thuringia, Germany
Wagner, Y., & Heinrich‐Weltzien, R. (2014) · BMC Oral Health · doi:10.1186/1472-6831-14-44 · Cited by 26
Social isolation, survey nonresponse, and nonresponse bias: An empirical evaluation using social network data within an organization
Watanabe, M., Olson, K. M., & Falci, C. D. (2016) · Social Science Research · doi:10.1016/j.ssresearch.2016.09.005 · Cited by 26
Low Prevalence of Hepatitis B Vaccination Among Patients Receiving Medical Care for HIV Infection in the United States, 2009 to 2012
Weiser, J. K., Pérez, A., Bradley, H. M., King, H., & Shouse, R. L. (2017) · Annals of Internal Medicine · doi:10.7326/m17-1689 · Cited by 26
Concealed Guns on College Campuses: Examining Support for Campus Carry Among Faculty, Staff, and Students
McMahon‐Howard, J., Scherer, H. L., & McCafferty, J. T. (2018) · Journal of School Violence · doi:10.1080/15388220.2018.1553717 · Cited by 26
Motivation-based segmentation of Chinese senior travelers: The role of preferences, sociodemographic, and travel-related features
Otoo, F. E., Kim, S., & Park, J. (2020) · Journal Of Vacation Marketing · doi:10.1177/1356766720942550 · Cited by 26
Residents’ perceptions of policing and safety during the COVID-19 pandemic
Nouri, S., & Kochel, T. R. (2021) · Policing An International Journal · doi:10.1108/pijpsm-05-2021-0067 · Cited by 26
Gender, work-family conflict and depressive symptoms during the COVID-19 pandemic among Quebec graduate students
Bilodeau, J., Quesnel‐Vallée, A., Beauregard, N., & Brault, M. (2021) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2021.101568 · Cited by 28
In an occupational health surveillance study, auxiliary data from administrative health and occupational databases effectively corrected for nonresponse
Santin, G., Geoffroy-Perez, B., Bénézet, L., Delézire, P., Chatelot, J., Sitta, R., Bouyer, J., & Guéguen, A. (2014) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2013.10.017 · Cited by 26
Specialist Cohort Event Monitoring Studies: A New Study Method for Risk Management in Pharmacovigilance
Layton, D., & Shakir, S. (2015) · Drug Safety · doi:10.1007/s40264-014-0260-x · Cited by 26

Authors: Groves, R. M.
Affiliations: U.S. National Science Foundation (US)
Corresponding author: Groves, Robert M.
Venue: Public Opinion Quarterly
Publisher: Oxford University Press (OUP)
Published: 2006
Volume: 70
Issue: 5
Pages: 646-675
ISSN: 0033-362X (ISSN-L)
1537-5331
DOI: 10.1093/poq/nfl033
OpenAlex: W2116971494
Cited by: 2,420
References: 80
Citations by year: 2026: 90 · 2025: 78 · 2024: 87 · 2023: 90 · 2022: 103 · 2021: 129 · 2020: 152 · 2019: 133 · 2018: 152 · 2017: 161 · 2016: 155 · 2015: 176 · 2014: 170 · 2013: 152 · 2012: 163
FWCI: 193.26
Type: journal article
Language: en
Open access: closed
Locations: Public Opinion Quarterly (publishedVersion)
Topics: Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
Keywords: nonresponse bias, nonresponse rates, household surveys, response rate, auxiliary variables

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Nonresponse Rates and Nonresponse Bias in Household Surveys

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks