Возможности использования GPS-параданных для контроля процесса сбора данных: обзор существующих методов и анализ качества данных
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Аннотация
Литература
2. Ипатова А.А. Насколько разумна наша вера в результаты опросов, или Нарушение исследовательской этики в социологических исследованиях // Мониторинг общественного мнения: экономические и социальные перемены. 2014. № 3 (121). С. 26–39. DOI: 10.14515/monitoring.2014.3.02 EDN: SIGFPR
3. Контроль качества получаемой информации // ВЦИОМ. Дата обращения 13.07.2022. URL: https://old-ok.wciom.ru/kontrol_i_kachestvo_dannyh
4. Лебедев Д.В. Параданные: определение, типы, сбор и возможное применение // Мониторинг общественного мнения: экономические и социальные перемены. 2020. № 2 (156). С. 4–32. DOI: 10.14515/monitoring.2020.2.915 EDN: VTLLGY
5. Лебедев Д.В., Богданов М.Б. Переход с PAPI на CAPI: опыт интервьюеров и характеристики, влияющие на их ожидания // Мониторинг общественного мнения: экономические и социальные перемены. 2019. № 4 (152). С. 43–67. DOI: 10.14515/monitoring.2019.4.03 EDN: DPAZOU
6. Мягков А.Ю., Журавлева И.В. Эффект ожиданий интервьюера в персональном интервью // Социологический журнал. 2004. № 3–4. С. 6–26. EDN: PZQOLN
7. Рогозин Д.М. Зачем социологу изучать фабрикации // Телескоп: журнал социологических и маркетинговых исследований. 2017. № 5. С. 13–16. EDN: ZIDZHL
8. Рогозин Д.М. По(д)делки в «бумажном» поквартирном опросе // Мониторинг общественного мнения: экономические и социальные перемены. 2015. № 4 (128). С. 3–35. DOI: 10.14515/monitoring.2015.4.01 EDN: XBBCMF
9. Arceneaux T. Evaluating the computer audio-recorded interviewing (CARI) household wellness study (HWS) field test. Proceedings of the American Statistical Association, Section on Survey Research Methods. Chicago: ASA, 2007. P. 2811–2818.
10. Bhuiyan M.F., Lackie P. Mitigating survey fraud and human error: Lessons learned from a low budget village census in Bangladesh. IASSIST Quarterly. 2017. Vol. 40. No. 3. P. 20–26. DOI: 10.29173/iq398
11. Birnbaum B. Algorithmic approaches to detecting interviewer fabrication in surveys. Washington: University of Washington, 2012.
12. Birnbaum B., Borriello G., Flaxman A.D., DeRenzi B., Karlin A.R. Using behavioral data to identify interviewer fabrication in surveys. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Paris: ACM, 2013. P. 2911–2920. DOI: 10.1145/2470654.2481404
13. Biruk C. Seeing like a research project: Producing “high-quality data” in AIDS research in Malawi. Medical anthropology. 2012. Vol. 31. No. 4. P. 347–366. DOI: 10.1080/0145 9740.2011.631960
14. Bredl S., Winker P., Kotschau K. A statistical approach to detect interviewer falsification of survey data. Survey Methodology. 2012. Vol. 38. No. 1. P. 1–10.
15. Bushery J.M., Reichert J.W., Albright K.A., Rossiter J.C. Using date and time stamps to detect interviewer falsification. Proceedings of the American Statistical Association (Survey Research Methods Section). Chicago: ASA, 1999. P. 316–320.
16. Cecchi R., Marquette R.J. 2010 Census Global Positioning System (GPS) Evaluation Report. United States Census Bureau. Accessed 13.07.2022. URL: https://www.census.gov/2010census/pdf/2010_Census_AC_Operational_Assessment.pdf
17. Choumert‐Nkolo J., Cust H., Taylor C. Using paradata to collect better survey data: evidence from a household survey in Tanzania. Review of Development Economics. 2019. Vol. 23. No. 2. P. 598–618. DOI: 10.1111/rode.12583
18. Chung E.H., Shalaby A. A trip reconstruction tool for GPS-based personal travel surveys. Transportation Planning and Technology. 2005. Vol. 28. No. 5. P. 381–401. DOI: 10.1080/03081060500322599
19. Cornelius S.C., Sear D.A., Carver S.J., Heywood D.I. GPS, GIS and geomorphological field work. Earth Surface Processes and Landforms. 1994. Vol. 19. No. 9. P. 777–787. DOI: 10.1002/esp.3290190904
20. Couper M. Measuring survey quality in a CASIC environment. Proceedings of the Survey Research Methods Section of the ASA at JSM1998. Chicago: ASA, 1998. P. 41–49.
21. Couper M.P., Burt G. Interviewer attitudes toward computer-assisted personal interviewing (CAPI). Social Science Computer Review. 1994. Vol. 12. No. 1. P. 38–54. DOI: 10.1177/089443939401200103
22. Couper M.P., Kreuter F. Using paradata to explore item level response times in surveys. Journal of the Royal Statistical Society: Series A (Statistics in Society). 2013. Vol. 176. No. 1. P. 271–286. DOI: 10.1111/j.1467-985X.2012.01041.x
23. Crespi L.P. Further Observations on the “Cheater” Problem. Public Opinion Quarterly. No. 4. Vol. 10. 1946. P. 646–649. DOI: 10.1086/265823.
24. Dajani N., Marquette R.Q. Reinterview Detection and Prevention at Census: New Initiatives. Washington Statistical Society Curb-Stoning Seminar. Part III, Washington, DC. Washington: WSS, 2015.
25. Durrant G.B., D’Arrigo J. Doorstep interactions and interviewer effects on the process leading to cooperation or refusal. Sociological Methods & Research. 2014. Vol. 43. No. 3. P. 490–518. DOI: 10.1177/0049124114521148
26. Durrant G.B., D’Arrigo J., Steele F. Analysing interviewer call record data by using a multilevel discrete time event history modelling approach. Journal of the Royal Statistical Society: Series A (Statistics in Society). 2013. Vol. 176. No. 1. P. 251–269. DOI: 10.1111/j.1467-985X.2012.01073.x
27. Dwolatzky B., Trengove E., Struthers H., McIntyre J.A., Martinson N.A. Linking the global positioning system (GPS) to a personal digital assistant (PDA) to support tuberculosis control in South Africa: a pilot study. International Journal of Health Geographics. 2006. Vol. 5. No. 1. P. 1–6. DOI: 10.1186/1476-072X-5-34
28. Eyerman J., Murphy J., McCue C., Hottinger C., Kennet J. Interviewer falsification detection using data mining. Proceedings: Symposium 2005, Methodological Challenges for Future Information Needs; Statistics Canada. Toronto: Statistics Canada, 2005.
29. Fanelli D. How many scientists fabricate and falsify research? A systematic review and meta-analysis of survey data. PloS one. 2009. Vol. 4. No. 5. P. e5738. DOI: 10.1371/journal.pone.0005738
30. Gong H., Chen C., Bialostozky E., Lawson C.T. A GPS/GIS method for travel mode detection in New York City. Computers, Environment and Urban Systems. 2012. Vol. 36. No. 2. P. 131–139. DOI: 10.1016/j.compenvurbsys.2011.05.003
31. Groves B. Interviewer falsification in survey research: Current best methods for prevention, detection, and repair of its effects. Survey Research. 2004. Vol. 35. No. 1. P. 1–5.
32. Groves R.M., Lyberg L. Total survey error: Past, present, and future. Public opinion quarterly. 2010. Vol. 74. No. 5. P. 849–879. DOI: 10.1093/poq/nfq065
33. Haddaway S. CAPI surveys on android devices in the developing world. Federal CASIC Workshops. Washington, DC. Washington: CASIC, 2013.
34. Hasson M. Efficiency analysis through geospatial location evaluation (EAGLE). Annual Federal Computer-assisted Survey Information Collection (FedCASIC) Workshop. Suitland, MD. 2015.
35. Keating M., Loftis C., McMichael J., Ridenhour J. New dimensions of mobile data quality. Federal CASIC Workshops. Washington, DC. Washington: CASIC, 2014.
36. Kingori P., Gerrets R. Morals, morale and motivations in data fabrication: Medical research fieldworkers views and practices in two Sub-Saharan African contexts. Social Science & Medicine. 2016. Vol. 166. P. 150–159. DOI: 10.1016/j.socscimed.2016.08.019
37. Kozyreva P., Kosolapov M., Popkin B.M. Data Resource Profile: The Russia Longitudinal Monitoring Survey — Higher School of Economics (RLMS–HSE) Phase II: Monitoring the Economic and Health Situation in Russia, 1994–2013. International journal of epidemiology. 2016. Vol. 45. No. 2. P. 395–401. DOI: 10.1093/ije/dyv357
38. Krejsa E.A., Davis M.C., Hill J.M. Evaluation of the quality assurance falsification interview used in the census 2000 dress rehearsal. Proceedings of the American Statistical Association (Survey Research Methods Section). Chicago: ASA, 1999. P. 635–640.
39. Lemmens M. Geo-information: technologies, applications and the environment. Vol. 5. N.Y.: Springer, 2011. DOI: 10.1007/978-94-007-1667-4
40. Li J., Michael Brick J., Tran B., Singer P. Using statistical models for sample design of a reinterview program. Journal of Official Statistics. 2011. Vol. 27. No. 3. P. 433.
41. McClain C.A., Couper M.P., Hupp A.L., Keusch F., Peterson G., Piskorowski A.D. & West B.T. A typology of web survey paradata for assessing total survey error. Social Science Computer Review. 2019. Vol. 37. No. 2. P. 196–213. DOI: 10.1177/0894439318759670
42. Mohadjer L., Edwards B. Paradata and dashboards in PIAAC. Quality assurance in education. 2018. Vol. 26. No. 2. P. 263–277. DOI: 10.1108/QAE-06-2017-0031
43. Montalvo J.D., Seligson M.A., Zechmeister E.J. Improving adherence to area probability sample designs: Using lapop’s remote interview geo-locating of households in real-time (right) system. Americas Barometer Methodological Note IMN004. Nashville: IMN004, 2018.
44. Murphy J., Baxter R., Eyerman J., Cunningham D., Kennet J. A system for detecting interviewer falsification. American Association for Public Opinion Research 59th Annual Conference. Phoenix: AAPOR, 2004. P. 4968–4975.
45. Murphy J., Biemer P., Stringer C., Thissen R., Day O., Hsieh Y.P. Interviewer falsification: Current and best practices for prevention, detection, and mitigation. Statistical Journal of the IAOS. 2016. Vol. 32. No. 3. P. 313–326. DOI: 10.3233/SJI-161014
46. Olbrich L., Kosyakova Y., Sakshaug J.W. The reliability of adult self-reported height: The role of interviewers. Economics & Human Biology. 2022. Vol. 45. P. 101–118. DOI: 10.1016/j.ehb.2022.101118
47. Olson K., Wagner J. A feasibility test of using smartphones to collect GPS information in face-to-face surveys. Survey Research Methods. 2015. Vol. 9. No. 1. P. 1–13.
48. Robbins M., Johnson T.P., Pennell B.E., Stoop I.A.L., Dorer B. New frontiers in detecting data fabrication. Advances in Comparative Survey Methods: Multicultural, Multinational and Multiregional Contexts (MC). Ed. by T.P. Johnson, B.-E. Pennell, I.A.L. Stoop, and B. Dorer. Hoboken, NJ: Wiley, 2018. DOI: 10.1002/9781118884997
49. Roth J.A. Hired hand research. The American Sociologist. 1966. Vol. 1. No. 4. P. 190–196.
50. Schäfer C., Schräpler J.P., Müller K.R., Wagner G.G. Automatic identification of faked and fraudulent interviews in surveys by two different methods. DIW Discussion Papers. Berlin: DIW, 2004. No. 441.
51. Schaefer C., Schräpler J.P., Müller K.R., Wagner G.G. Automatic identification of faked and fraudulent interviews in the German SOEP. Schmollers Jahrbuch: Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts-und Sozialwissenschaften. 2005. Vol. 125. No. 1. P. 183–193.
52. Schraepler J.P., Wagner G.G. Characteristics and impact of faked interviews in surveys — An analysis of genuine fakes in the raw data of SOEP. Allgemeines Statistisches Archiv. 2005. Vol. 89. No. 1. P. 7–20. DOI: 10.1007/s101820500188
53. Seeger J. A mobile, GPS-enabled listing application. Federal CASIC Workshops. Washington, DC: IEEE, 2011.
54. Shepherd J., Hill D., Bristor J., Montalvan P. Converting an ongoing health study to CAPI: Findings from the National Health and Nutrition Study. Health survey research methods conference proceedings. Baltimore: HSRM, 1996. P. 159–164.
55. Sikes N. Current trends in mobile technology for survey research. Federal CASIC Workshops. Washington, DC: CASIC, 2009.
56. Survey Solutions. Survey Solutions. Accessed 13.07.2022. URL: https://mysurvey.solutions/en/
57. Swanson D., Cho M., Eltinge J. Detecting possibly fraudulent or error-prone survey data using Benford’s Law. Proceedings of the Section on Survey Research Methods, American Statistical Association. Chicago: ASA, 2003. P. 937–941.
58. Thissen M.R. Computer audio-recorded interviewing as a tool for survey research. Social Science Computer Review. 2014. Vol. 32. No. 1. P. 90–104. DOI: 10.1177/0894439313500128
59. Thissen M.R., Myers S.K. Systems and processes for detecting interviewer falsification and assuring data collection quality. Statistical Journal of the IAOS. 2016. Vol. 32. No. 3. P. 339–347. DOI: 10.3233/SJI-150947
60. Wagner J., Olson K., Edgar M. Assessing Potential Errors in Level-of-E ort Paradata using GPS Data. Survey research methods. 2017. Vol. 11. No. 3. P. 219–233.
61. Wang K., Biemer P. The accuracy of interview paradata: Results from a field investigation. Annual Meeting of the American Association for Public Opinion Research. Chicago, IL (May). 2010.
62. Weisberg H.F. The total survey error approach: A guide to the new science of survey research. Chicago: University of Chicago Press, 2009.
63. Yabiku S.T., Glick J.E., Wentz E.A., Ghimire D., Zhao Q. Comparing paper and tablet modes of retrospective activity space data collection. Survey research methods. NIH Public Access. 2017. Vol. 11. No. 3. P. 329.
64. Zandbergen P.A. Accuracy of iPhone locations: A comparison of assisted GPS, WiFi and cellu lar posi tioning. Transactions in GIS. 2009. Vol. 13. P. 5–25. DOI: 10.1111/j.14679671.2009.01152.x
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Поступила: 17.09.2022
Опубликована: 11.12.2022
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