Interviewers' expectations of response propensity can introduce nonresponse bias in survey data

Kennickell A.B. , Reordering the darkness: application of effort and unit nonresponse in the Survey of Consumer Finances, Proc Survey Res Meth Sec, Amer Stat Assoc, 2003, 2119-2126.

Kennickell A.B. , Asymmetric information, interviewer behavior, and unit nonresponse, Proc Survey Res Meth Sec, Amer Stat Assoc, 2000, 238-243.

Kennickell A.B. , Interviewers and data quality: evidence from the 2001 Survey of Consumer Finances, Proc Survey Res Meth Sec, Amer Stat Assoc, 2002, 1807-1812.

Kennickell A.B. , Action at a distance: interviewer effort and nonresponse in the SCF, Proc Survey Res Meth Sec, Amer Stat Assoc, 2004, 3774-3781.

West B.T. and Blom A.G. , Explaining interviewer effects: a research synthesis, J Surv Stat Methodol, 2016. doi: 10.1093/jssam/smw024.

Schaeffer N.C. , Dykema J. and Maynard D.W. , Interviewers and interviewing, In: Handbook of Survey Research, Second Edition, Wright J.D. and Marsden P.V. , editors, Bingley, UK: Emerald Group Publishing Limited, 2010, pp. 437-70.

O'Muircheartaigh C. and Campanelli P. , The relative impact of interviewer effects and sample design effects on survey precision, J R Statist Soc A 161(1) (2002). http:// onlinelibrary.wiley.com/doi/10.1111/1467-985X.00090/pdf.

Kennickell A.B. , Who's asking? Interviewers, their incentives, and data quality in field surveys. Federal Reserve Board, 2006. https://www.federalreserve.gov/econresdata/scf/files/ iariw20067.pdf.

Groves R.M. and Heeringa S.G. , Responsive design for household surveys: tools for actively controlling survey errors and costs, J R Statist Soc A 169(3) (2006), 439-457.

Sinibaldi J. , Durrant G.B. and Kreuter F. , Evaluating the measurement error of interviewer observed paradata, Public Opin Q 77(S1) (2013), 173-193. doi: 10.1093/poq/nfs062.

West B.T. , Kreuter F. and Trappmann M. , Is the collection of interviewer observations worthwhile in an economic panel survey? New evidence from the German Labor Market and Social Security (PASS) study, J Surv Stat Methodol, 2014. doi: 10.1093/jssam/smu002.

West B.T. and Sinibaldi J. , The quality of paradata: a literature review, In: Improving Surveys Through Paradata: Analytic Uses of Process Information, Kreuter F. , editor, Wiley, 2013, pp. 341-362.

West B. , An examination of the quality and utility of interviewer observations in the National Survey of Family Growth (NSFG), J R Statist Soc A 176 (2013), 211-225.

West B. and Kreuter F. , Factors affecting the accuracy of interviewer observations: evidence from the National Survey of Family Growth (NSFG), Public Opin Q 77 (2013), 522-548.

West B. and Kreuter F. , A practical technique for improving the accuracy of interviewer observations of respondent characteristics, Field Meth 27 (2015), 144-162.

Sinibaldi J. , Trappmann M. and Kreuter F. , Which is the better investment for nonresponse adjustment: purchasing commercial auxiliary data or collecting interviewer observations? Public Opin Q 78(2) (2014), 440-473.

Kreuter F. , Improving surveys through paradata: analytic uses of process information, Wiley, 2013.

Kennickell A.B. , What's the chance? Interviewers' expectations of response in the 2010 SCF, Proc Survey Res Meth Sec, Amer Stat Assoc, 2012, 3500-3508.

Biemer P.P. , Chen P. and Wang K. , Using level-of-effort paradata in non-response adjustments with application to field surveys, J R Statist Soc A 176(1) (2013), 147-168.

Eckman S. , Sinibaldi J. and Möntmann-Hertz A. , Can interviewers effectively rate the likelihood of cases to cooperate? Public Opin Q 77(2) (2013), 561-573.

Wagner J. and Guyer H. , Statistical propensity models to predict likelihood of survey response compared to interviewer judgments of likelihood of response, Paper presented at the Midwestern AAPOR Conference, Chicago, 2005.

Eckman S. and O'Muircheartaigh C. , Using response rate prediction to tailor contact strategies in a face-to-face survey, Paper presented at the AAPOR conference, New Orleans, LA, 2008.

Sinibaldi J. and Eckman S. , Using call-level interviewer observations to improve response propensity models, Public Opin Q 79(4) (2015), 976-993. doi: 10.1093/poq/nfv035.