메뉴 건너뛰기




Volumn 79, Issue 4, 2015, Pages 839-880

Big data in survey research: Aapor task force report

(9)  Japec, Lilli a   Kreuter, Frauke b,c,d   Berg, Marcus e   Biemer, Paul f,g   Decker, Paul h   Lampe, Cliff i   Lane, Julia j,k,l,m   O'Neil, Cathy n   Usher, Abe o  


Author keywords

[No Author keywords available]

Indexed keywords


EID: 84958948947     PISSN: 0033362X     EISSN: 15375331     Source Type: Journal    
DOI: 10.1093/poq/nfv039     Document Type: Review
Times cited : (112)

References (80)
  • 1
    • 84963970476 scopus 로고    scopus 로고
    • The economics and behavioral economics of privacy
    • edited by Julia Lane, Victoria Stodden, Stefan Bender and Helen Nissenbaum, New York: Cambridge University Press.
    • Acquisti, Alessandro. 2014. "The Economics and Behavioral Economics of Privacy." In Privacy, Big Data, and the Public Good: Frameworks for Engagement, edited by Julia Lane, Victoria Stodden, Stefan Bender and Helen Nissenbaum, 98-112. New York: Cambridge University Press.
    • (2014) Privacy, Big Data, and the Public Good: Frameworks for Engagement , pp. 98-112
    • Acquisti, A.1
  • 3
    • 84923622936 scopus 로고    scopus 로고
    • Big data's end run around anonymity and consent
    • edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum. New York: Cambridge University Press.
    • Barocas, Solon, and Helen Nissenbaum. 2014. "Big Data's End Run around Anonymity and Consent." In Privacy, Big Data, and the Public Good: Frameworks for Engagement, edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, 44-75. New York: Cambridge University Press.
    • (2014) Privacy, Big Data, and the Public Good: Frameworks for Engagement , pp. 44-75
    • Barocas, S.1    Nissenbaum, H.2
  • 4
    • 79951586435 scopus 로고    scopus 로고
    • Total survey error: Design, implementation, and evaluation
    • Biemer, Paul P. 2010. "Total Survey Error: Design, Implementation, and Evaluation." Public Opinion Quarterly 74:817-48.
    • (2010) Public Opinion Quarterly , vol.74 , pp. 817-848
    • Biemer, P.P.1
  • 6
    • 0003304881 scopus 로고    scopus 로고
    • A review of measurement error effects on the analysis of survey data
    • edited by Lars Lyberg, Paul P. Biemer, Martin Collins, Edith de Leeuw, Cathryn Dippo, Norbert Schwarz, and Dennis Trewin, New York: Wiley & Sons
    • Biemer, Paul P., and Dennis Trewin. 1997. "A Review of Measurement Error Effects on the Analysis of Survey Data." In Survey Measurement and Process Quality, edited by Lars Lyberg, Paul P. Biemer, Martin Collins, Edith de Leeuw, Cathryn Dippo, Norbert Schwarz, and Dennis Trewin, 603-32. New York: Wiley & Sons.
    • (1997) Survey Measurement and Process Quality , pp. 603-632
    • Biemer, P.P.1    Trewin, D.2
  • 10
    • 85083602303 scopus 로고    scopus 로고
    • Cited by Julia Lane, Key Issues in Confidentiality Research: Results of an NSF Workshop. National Science Foundation.
    • Cecil, Joe, and Donna Eden. 2003. "The Legal Foundations of Confidentiality." Cited by Julia Lane, Key Issues in Confidentiality Research: Results of an NSF Workshop. National Science Foundation. http://1.usa.gov/1Eq58Df.
    • (2003) The Legal Foundations of Confidentiality
    • Cecil, J.1    Eden, D.2
  • 11
    • 84959028507 scopus 로고    scopus 로고
    • Smarter, better, faster: The potential for predictive analytics and rapid-cycle evaluation to improve program development and outcomes
    • Cody, Scott, and Andrew Asher. 2014. "Smarter, Better, Faster: The Potential for Predictive Analytics and Rapid-Cycle Evaluation to Improve Program Development and Outcomes." Mathematica Policy Research. Available at http://brook.gs/1AMaW5t.
    • (2014) Mathematica Policy Research
    • Cody, S.1    Asher, A.2
  • 12
    • 84890031943 scopus 로고    scopus 로고
    • Is the sky falling? New technology, changing media, and the future of surveys
    • Couper, Mick P. 2013. "Is the Sky Falling? New Technology, Changing Media, and the Future of Surveys." Survey Research Methods 7:145-56.
    • (2013) Survey Research Methods , vol.7 , pp. 145-156
    • Couper, M.P.1
  • 15
  • 16
    • 84887206633 scopus 로고    scopus 로고
    • Self-report of diabetes and claims-based identification of diabetes among medicare beneficiaries
    • Day, Hannah R., and Jennifer D. Parker. 2013. "Self-Report of Diabetes and Claims-Based Identification of Diabetes among Medicare Beneficiaries." National Health Statistics Reports, No. 69.
    • (2013) National Health Statistics Reports, No. 69
    • Day, H.R.1    Parker, J.D.2
  • 17
    • 32844458633 scopus 로고    scopus 로고
    • Uses and abuses of empirical evidence in the death penalty debate
    • Donohue, John J., and Justin Wolfers. 2006. "Uses and Abuses of Empirical Evidence in the Death Penalty Debate." Stanford Law Review 58:791-846.
    • (2006) Stanford Law Review , vol.58 , pp. 791-846
    • Donohue, J.J.1    Wolfers, J.2
  • 20
    • 78650804208 scopus 로고    scopus 로고
    • A firm foundation for private data analysis
    • Dwork, Cynthia. 2011. "A Firm Foundation for Private Data Analysis." Communications of the ACM 54(1):86-95.
    • (2011) Communications of the ACM , vol.54 , Issue.1 , pp. 86-95
    • Dwork, C.1
  • 21
    • 84936201239 scopus 로고
    • Tests of alternative theories of firm growth
    • Evans, David S. 1987. "Tests of Alternative Theories of Firm Growth." Journal of Political Economy 95:657-74.
    • (1987) Journal of Political Economy , vol.95 , pp. 657-674
    • Evans, D.S.1
  • 22
    • 84926623018 scopus 로고    scopus 로고
    • Executive Office of the President, Washington, DC.
    • Executive Office of the President. 2014. "Big Data: Seizing Opportunities, Preserving Values." Washington, DC. http://1.usa.gov/1hqgibM.
    • (2014) Big Data: Seizing Opportunities, Preserving Values
  • 23
    • 84919389078 scopus 로고    scopus 로고
    • Challenges of big data analysis
    • Fan, Jianqing, Fang Han, and Han Liu. 2014. "Challenges of Big Data Analysis." National Science Review 1:293-314.
    • (2014) National Science Review , vol.1 , pp. 293-314
    • Fan, J.1    Han, F.2    Liu, H.3
  • 24
    • 84902466882 scopus 로고    scopus 로고
    • Endogeneity in ultrahigh dimension
    • Fan, Jianqing, and Yuan Liao. 2014. "Endogeneity in Ultrahigh Dimension." Annals of Statistics 42:872-917.
    • (2014) Annals of Statistics , vol.42 , pp. 872-917
    • Fan, J.1    Liao, Y.2
  • 25
    • 70449440300 scopus 로고    scopus 로고
    • Ultrahigh dimensional feature selection: Beyond the linear model
    • Fan, Jianqing, Richard Samworth, and Yichao Wu. 2009. "Ultrahigh Dimensional Feature Selection: Beyond the Linear Model." Journal of Machine Learning Research 10:2013-2038.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 2013-2038
    • Fan, J.1    Samworth, R.2    Wu, Y.3
  • 26
    • 35348874496 scopus 로고    scopus 로고
    • An analysis of the New York City police department's 'stop-and-frisk' policy in the context of claims of racial bias
    • Gelman, Andrew, Jeffrey Fagan, and Alex Kiss. 2007. "An Analysis of the New York City Police Department's 'Stop-and-Frisk' Policy in the Context of Claims of Racial Bias." Journal of the American Statistical Association 102:813-23.
    • (2007) Journal of the American Statistical Association , vol.102 , pp. 813-823
    • Gelman, A.1    Fagan, J.2    Kiss, A.3
  • 27
    • 27844466734 scopus 로고    scopus 로고
    • The privacy context of survey response: An ethnographic account
    • edited by Pat Doyle, Julia Lane, Jules Theeuwes, and Laura Zayatz, Amsterdam: Elsevier
    • Gerber, Eleanor R. 2001. "The Privacy Context of Survey Response: An Ethnographic Account." In Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies, edited by Pat Doyle, Julia Lane, Jules Theeuwes, and Laura Zayatz, 371-95. Amsterdam: Elsevier.
    • (2001) Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies , pp. 371-395
    • Gerber, E.R.1
  • 28
    • 84923540838 scopus 로고    scopus 로고
    • The new deal on data: A framework for institutional controls
    • edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, New York: Cambridge University Press
    • Greenwood, Daniel, Arkadiusz Stopczynski, Brian Sweatt, Thomas Hardjono, and Alex Pentland. 2014. "The New Deal on Data: A Framework for Institutional Controls." In Privacy, Big Data, and the Public Good: Frameworks for Engagement, edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, 192-200. New York: Cambridge University Press.
    • (2014) Privacy, Big Data, and the Public Good: Frameworks for Engagement , pp. 192-200
    • Greenwood, D.1    Stopczynski, A.2    Sweatt, B.3    Hardjono, T.4    Pentland, A.5
  • 29
    • 84869436237 scopus 로고    scopus 로고
    • The role of the chief data officer
    • Griffin, Jane. 2008. "The Role of the Chief Data Officer." Data Management Review 18:28.
    • (2008) Data Management Review , vol.18 , pp. 28
    • Griffin, J.1
  • 30
    • 84055188781 scopus 로고    scopus 로고
    • Three eras of survey research
    • Groves, Robert M. 2011a. "Three Eras of Survey Research." Public Opinion Quarterly 75:861-71.
    • (2011) Public Opinion Quarterly , vol.75 , pp. 861-871
    • Groves, R.M.1
  • 31
    • 84878854672 scopus 로고    scopus 로고
    • Directors Blog, May 31. US Census Bureau
    • Groves, Robert M. 2011b. "'Designed Data' and 'Organic Data.'" Directors Blog, May 31. US Census Bureau. Available at http://1.usa.gov/15NDn8w.
    • (2011) Designed Data' and 'Organic Data
    • Groves, R.M.1
  • 32
    • 70849126253 scopus 로고    scopus 로고
    • The unreasonable effectiveness of data
    • Halevy, Alon, Peter Norvig, and Fernando Pereira. 2009. "The Unreasonable Effectiveness of Data." Intelligent Systems 24(2):8-12. doi:10.1109/MIS.2009.36.
    • (2009) Intelligent Systems , vol.24 , Issue.2 , pp. 8-12
    • Halevy, A.1    Norvig, P.2    Pereira, F.3
  • 33
    • 68849084522 scopus 로고    scopus 로고
    • Using generalized correlation to effect variable selection in very high dimensional problems
    • Hall, Peter, and Hugh Miller. 2009. "Using Generalized Correlation to Effect Variable Selection in Very High Dimensional Problems." Journal of Computational Graphical Statistics 18:533-50.
    • (2009) Journal of Computational Graphical Statistics , vol.18 , pp. 533-550
    • Hall, P.1    Miller, H.2
  • 35
    • 0002083004 scopus 로고    scopus 로고
    • Power prior distributions for regression model
    • Ibrahim, Joseph, and Ming-Hui Chen. 2000. "Power Prior Distributions for Regression Model." Statistical Science 15:46-60.
    • (2000) Statistical Science , vol.15 , pp. 46-60
    • Ibrahim, J.1    Chen, M.-H.2
  • 36
    • 0002485234 scopus 로고
    • Selection and the evolution of industry
    • Jovanovic, Boyan. 1982. "Selection and the Evolution of Industry." Econometrica 50:649-70.
    • (1982) Econometrica , vol.50 , pp. 649-670
    • Jovanovic, B.1
  • 38
    • 84923617218 scopus 로고    scopus 로고
    • Using statistics to protect privacy
    • edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, New York: Cambridge University Press
    • Karr, Alan F., and Jerome P. Reiter. 2014. "Using Statistics to Protect Privacy." In Privacy, Big Data, and the Public Good: Frameworks for Engagement, edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, 276-95. New York: Cambridge University Press.
    • (2014) Privacy, Big Data, and the Public Good: Frameworks for Engagement , pp. 276-295
    • Karr, A.F.1    Reiter, J.P.2
  • 39
    • 84865030017 scopus 로고    scopus 로고
    • Big data and city living: What can it do for us?
    • Keller, Sallie Ann, Steven E. Koonin, and Stephanie Shipp. 2012. "Big Data and City Living: What Can It Do for Us?" Significance 9(4):4-7.
    • (2012) Significance , vol.9 , Issue.4 , pp. 4-7
    • Keller, S.A.1    Koonin, S.E.2    Shipp, S.3
  • 40
    • 80051496437 scopus 로고    scopus 로고
    • Data confidentiality: The next five years summary and guide to papers
    • Kinney, Satkartar K., Alan F. Karr, and Joe Fred Gonzalez Jr. 2009. "Data Confidentiality: The Next Five Years Summary and Guide to Papers." Journal of Privacy and Confidentiality 1:125-34.
    • (2009) Journal of Privacy and Confidentiality , vol.1 , pp. 125-134
    • Kinney, S.K.1    Karr, A.F.2    Gonzalez, J.F.3
  • 41
    • 84923616367 scopus 로고    scopus 로고
    • The value of big data for urban science
    • edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, New York: Cambridge University Press
    • Koonin, Steven E., and Michael J. Holland. 2014. "The Value of Big Data for Urban Science." In Privacy, Big Data, and the Public Good: Frameworks for Engagement, edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, 137-52. New York: Cambridge University Press.
    • (2014) Privacy, Big Data, and the Public Good: Frameworks for Engagement , pp. 137-152
    • Koonin, S.E.1    Holland, M.J.2
  • 42
    • 84923533259 scopus 로고    scopus 로고
    • Extracting information from big data: Issues of measurement, inference and linkage
    • edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, New York: Cambridge University Press
    • Kreuter, Frauke, and Roger D. Peng. 2014. "Extracting Information from Big Data: Issues of Measurement, Inference and Linkage." In Privacy, Big Data, and the Public Good: Frameworks for Engagement, edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, 257-75. New York: Cambridge University Press.
    • (2014) Privacy, Big Data, and the Public Good: Frameworks for Engagement , pp. 257-275
    • Kreuter, F.1    Peng, R.D.2
  • 43
    • 84959028512 scopus 로고    scopus 로고
    • What? Me worry? What to do about privacy, big data, and statistical research
    • December 1.
    • Lane, Julia, and Victoria Stodden. 2013. "What? Me Worry? What to Do about Privacy, Big Data, and Statistical Research." AMStat News, December 1. Available at http://bit.ly/15UL9OW.
    • (2013) AMStat News
    • Lane, J.1    Stodden, V.2
  • 44
    • 85010460756 scopus 로고    scopus 로고
    • Editors' introduction
    • edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, xi-xix. New York: Cambridge University Press
    • Lane, Julia, Victoria Stodden, Stefan Bender, and Helen Nissenbaum. 2014. "Editors' Introduction." In Privacy, Big Data, and the Public Good: Frameworks for Engagement, edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, xi-xix. New York: Cambridge University Press.
    • (2014) Privacy, Big Data, and the Public Good: Frameworks for Engagement
    • Lane, J.1    Stodden, V.2    Bender, S.3    Nissenbaum, H.4
  • 47
    • 84896056107 scopus 로고    scopus 로고
    • The parable of Google flu: Traps in big data analysis
    • Lazer, David M., Ryan Kennedy, Gary King, and Alessandro Vespignani. 2014. "The Parable of Google Flu: Traps in Big Data Analysis." Science 343:1203-1205.
    • (2014) Science , vol.343 , pp. 1203-1205
    • Lazer, D.M.1    Kennedy, R.2    King, G.3    Vespignani, A.4
  • 51
    • 84863741148 scopus 로고    scopus 로고
    • New York Times, February 11.
    • Lohr, Steve. 2012. "The Age of Big Data." New York Times, February 11. Available at http://nyti.ms/1f7WKqh.
    • (2012) The Age of Big Data
    • Lohr, S.1
  • 56
    • 85083604394 scopus 로고    scopus 로고
    • New York Times, Editorial B. Better Governing Through Data, New York Times, August 19
    • New York Times, Editorial B 2014. Better Governing Through Data, New York Times, August 19. Available at http://nyti.ms/1qehhWr.
    • (2014)
  • 58
    • 80053267657 scopus 로고    scopus 로고
    • A contextual approach to privacy online
    • Nissenbaum, Helen. 2011. "A Contextual Approach to Privacy Online." Daedalus 140(4):32-48.
    • (2011) Daedalus , vol.140 , Issue.4 , pp. 32-48
    • Nissenbaum, H.1
  • 60
    • 77957594024 scopus 로고    scopus 로고
    • Broken promises of privacy: Responding to the surprising failure of anonymization
    • Ohm, Paul. 2010. "Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization." UCLA Law Review 57:1701-1818.
    • (2010) UCLA Law Review , vol.57 , pp. 1701-1818
    • Ohm, P.1
  • 62
    • 85083596521 scopus 로고    scopus 로고
    • Paper presented at the Council of American Survey Research Organizations Digital Research Conference, San Antonio, TX, USA
    • Porter, Scott, and Carlos G. Lazaro. 2014. "Adding Big Data Booster Packs to Survey Data." Paper presented at the Council of American Survey Research Organizations Digital Research Conference, San Antonio, TX, USA.
    • (2014) Adding Big Data Booster Packs to Survey Data
    • Porter, S.1    Lazaro, C.G.2
  • 66
    • 84894218262 scopus 로고    scopus 로고
    • Mapping the data shadows of hurricane sandy: Uncovering the sociospatial dimensions of 'big data.'
    • Shelton, Taylor, Ate Poorthuis, Mark Graham, and Matthew Zook. 2014. "Mapping the Data Shadows of Hurricane Sandy: Uncovering the Sociospatial Dimensions of 'Big Data.'" Geoforum 52:167-79.
    • (2014) Geoforum , vol.52 , pp. 167-179
    • Shelton, T.1    Poorthuis, A.2    Graham, M.3    Zook, M.4
  • 67
    • 0000833675 scopus 로고
    • Why the 1936 literary digest poll failed
    • Squire, Peverill. 1988. "Why the 1936 Literary Digest Poll Failed." Public Opinion Quarterly 52:125-33.
    • (1988) Public Opinion Quarterly , vol.52 , pp. 125-133
    • Squire, P.1
  • 68
    • 34047187519 scopus 로고    scopus 로고
    • The high concentration of US health care expenditures
    • Stanton, Mark W. 2006. "The High Concentration of US Health Care Expenditures." Research in Action 19:1-10.
    • (2006) Research in Action , vol.19 , pp. 1-10
    • Stanton, M.W.1
  • 69
    • 0036970448 scopus 로고    scopus 로고
    • Forecasting using principal components from a large number of predictors
    • Stock, James H., and Mark W. Watson. 2002. "Forecasting Using Principal Components from a Large Number of Predictors." Journal of the American Statistical Association 97:1167-1179.
    • (2002) Journal of the American Statistical Association , vol.97 , pp. 1167-1179
    • Stock, J.H.1    Watson, M.W.2
  • 70
    • 84919461805 scopus 로고    scopus 로고
    • Monitoring, datafication, and consent: Legal approaches to privacy in the big data context
    • edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, New York: Cambridge University Press
    • Strandburg, Katherine J. 2014. "Monitoring, Datafication, and Consent: Legal Approaches to Privacy in the Big Data Context." In Privacy, Big Data, and the Public Good: Frameworks for Engagement, edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, 5-43. New York: Cambridge University Press.
    • (2014) Privacy, Big Data, and the Public Good: Frameworks for Engagement , pp. 5-43
    • Strandburg, K.J.1
  • 71
    • 84861370048 scopus 로고    scopus 로고
    • The productivity of information technology investments: New evidence from IT labor data
    • Tambe, Prasanna, and Lorin M. Hitt. 2012. "The Productivity of Information Technology Investments: New Evidence from IT Labor Data." Information Systems Research 23:599-617.
    • (2012) Information Systems Research , vol.23 , pp. 599-617
    • Tambe, P.1    Hitt, L.M.2
  • 74
    • 84958951788 scopus 로고    scopus 로고
    • Paper presented at the Meeting on the Management of Statistical Information Systems, Dublin, Ireland
    • ten Bosch, Olav, and Dick Windmeijer. 2014. "On the Use of Internet Robots for Official Statistics." Paper presented at the Meeting on the Management of Statistical Information Systems, Dublin, Ireland.
    • (2014) On the Use of Internet Robots for Official Statistics
    • Ten Bosch, O.1    Windmeijer, D.2
  • 75
    • 33750379302 scopus 로고    scopus 로고
    • Epidemiology of seasonal influenza: Use of surveillance data and statistical models to estimate the burden of disease
    • Thompson, William W., Lorraine Comanor, and David K. Shay. 2006. "Epidemiology of Seasonal Influenza: Use of Surveillance Data and Statistical Models to Estimate the Burden of Disease." Journal of Infectious Diseases 194:S82-S91.
    • (2006) Journal of Infectious Diseases , vol.194 , pp. S82-S91
    • Thompson, W.W.1    Comanor, L.2    Shay, D.K.3
  • 77
    • 84903161818 scopus 로고    scopus 로고
    • Big data: New tricks for econometrics
    • Varian, Hal R. 2014. "Big Data: New Tricks for Econometrics." Journal of Economic Perspectives 28(2):3-27.
    • (2014) Journal of Economic Perspectives , vol.28 , Issue.2 , pp. 3-27
    • Varian, H.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.