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Publications

Books:
  • Snijkers, G., Bavdaž, M., Bender, S., Jones, J., MacFeeley, S., Sakshaug, J.W., Thompson, K.J., and Van Delden, A. (Eds.) (In Press). Advances in Business Statistics, Methods and Data Collection. John Wiley and Sons.
  • Cernat, A., and Sakshaug, J.W. (Eds.) (2021). Measurement Error in Longitudinal Data. Oxford University Press. 
  • Atkinson, P.A., Delamont, S., Cernat, A., Sakshaug, J.W., and Williams, R.A. (Eds.) (2021). SAGE Research Methods Foundations: An Encyclopedia. Sage Publications.
Book chapters:
  • Snijkers, G., Bavdaž, M., Bender, S., Jones, J., MacFeeley, S., Sakshaug, J.W., Thompson, K.J., and Van Delden, A. (In Press). Advances in Business Statistics, Methods, and Data Collection: Introduction. In: G. Snijkers, M. Bavdaž, S. Bender, J. Jones, S. MacFeely, J.W. Sakshaug, J. Thompson, and A. Van Delden (Eds.). Advances in Business Statistics, Methods and Data Collection. John Wiley and Sons.
  • Langeland, J., Ridolfo, H., McCarthy, J., Ott, K., Kilburg, D., CyBulski, K., Krakowiecki, M., Vittoriano, L., Potts, M., Küfner, B., Sakshaug, J.W., and Zins, S. (In Press). Recent Findings from Experiments in Establishment Surveys. In: G. Snijkers, M. Bavdaž, S. Bender, J. Jones, S. MacFeely, J.W. Sakshaug, J. Thompson, and A. Van Delden (Eds.). Advances in Business Statistics, Methods and Data Collection. John Wiley and Sons.
  • Jones, J., Ryan, L., Lanyon, A.J., Apostolou, M., Price, T., König, C., Volkert, M., Sakshaug, J.W., Mead, D., Baird, H., Elliott, D., and McLaren, C.H. (In Press). Producing Official Statistics During the COVID-19 Pandemic. In: G. Snijkers, M. Bavdaž, S. Bender, J. Jones, S. MacFeely, J.W. Sakshaug, J. Thompson, and A. Van Delden (Eds.). Advances in Business Statistics, Methods and Data Collection. John Wiley and Sons.
  • Sakshaug, J.W., Wiśniowski, A., Perez Ruiz, D.A., and Blom, A.G. (2021). Combining Scientific and Non-Scientific Surveys to Improve Estimation and Reduce Costs. In: T. Rudas, P. Gábor, and V. Gorczeski (Eds.). Pathways Between Social Science and Computational Social Science: Theories, Methods and Interpretations. Springer, pp. 71-93. 
  • Sakshaug, J.W. (2021). Measuring and Controlling for Non-Consent Bias in Linked Survey and Administrative Data. In: A.Y. Chun, M. Larsen, G. Durrant, and J. Reiter (Eds.). Administrative Records for Survey Methodology. John Wiley and Sons.
  • Pashazadeh, F., Cernat, A., and Sakshaug, J.W. (2021). The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Nonresponse. In: P. Lynn (Ed.). Advances in Longitudinal Survey Methodology. John Wiley and Sons, pp. 100-121.
  • Cernat, A., and Sakshaug, J.W. (2021). Estimating the Measurement Effects of Mixed Modes in Longitudinal Studies: Current Practice and Issues. In: P. Lynn (Ed.). Advances in Longitudinal Survey Methodology. John Wiley and Sons, 227-241.
  • Antoni, M., and Sakshaug, J.W. (2020). Data Linkage. In: P.A. Atkinson, S. Delamont, A. Cernat, J.W. Sakshaug, and R.A. Williams (Eds.). SAGE Research Methods Foundations. Sage, pp. 1-18. 
  • Sakshaug, J.W. (2020). Linking Surveys with Big Data: Issues of Consent. In: B. Klumpe, J. Schröder, and M. Zwick (Eds.). Qualität bei zusammengeführten Daten – Befragungsdaten, Administrative Daten, neue digitale Daten: Miteinander besser? Wiesbaden, Germany: Springer VS, pp. 167-178. 
  • Pashazadeh, F., Cernat, A., and Sakshaug, J.W. (2020). Investigating the Use of Nurse Paradata in Understanding Nonresponse to Biological Data Collection. In: K. Olson, J. D. Smyth, J. Dykema, A. L. Holbrook, F. Kreuter, and B. T. West (Eds.). Interviewer Effects from a Total Survey Error Perspective. Chapman & Hall/CRC, pp. 221-234. 
  • Schwanhäuser, S., Sakshaug, J.W., Kosyakova, Y., and Kreuter, F. (2020). Statistical Identification of Fraudulent Interviews in Surveys: Improving Interviewer Controls. In: K. Olson, J. D. Smyth, J. Dykema, A. L. Holbrook, F. Kreuter, and B. T. West (Eds.). Interviewer Effects from a Total Survey Error Perspective. Chapman & Hall/CRC, pp. 91-105.
  • Weiss, L.M., Sakshaug, J.W., and Börsch-Supan, A. (2019). Collection of Biomeasures in a Cross-National Setting: Experiences in SHARE. In: T. Johnson, B.-E. Pennell, I. Stoop, and B. Dorer (Eds.). Advances in Comparative Survey Methods: Multinational, Multiregional and Multicultural Contexts (3MC). John Wiley and Sons, pp. 623-641.
  • Sakshaug, J.W. (2018). Methods of Linking Survey Data to Official Records. In: D.L. Vannette, and J.A. Krosnick (Eds.). The Palgrave Handbook of Survey Research. Palgrave Macmillan, pp. 257-262.
  • Sakshaug, J.W. (2018). Linking Survey Data to Official Government Records. In: D.L. Vannette, and J.A. Krosnick (Eds.). The Palgrave Handbook of Survey Research. Palgrave Macmillan, pp. 597-606.
  • Sakshaug, J.W., and Antoni, M. (2017). Errors in Linking Survey and Administrative Data. In: P. Biemer, E. de Leeuw, S. Eckman, B. Edwards, F. Kreuter, L.E. Lyberg, N.C. Tucker, and B.T. West (Eds). Total Survey Error in Practice. Hoboken, NJ: John Wiley and Sons, pp. 557-571.
  • West, B.T., Sakshaug, J.W., and Kim, Y. (2017). Analytic Error as an Important Component of Total Survey Error: Results from a Meta-Analysis. In: P. Biemer, E. de Leeuw, S. Eckman, B. Edwards, F. Kreuter, L.E. Lyberg, N.C. Tucker, and B.T. West (Eds.). Total Survey Error in Practice. Hoboken, NJ: John Wiley and Sons, pp. 489-508.
  • Sakshaug, J.W. (2015). Proxy Reporting in Health Surveys. In: T. Johnson (Ed.). Handbook of Health Survey Methods. Hoboken, NJ: John Wiley and Sons, pp. 367-381.
  • Sakshaug, J.W., Ofstedal, M.B., Guyer, H., and Beebe, T. (2015). The Collection of Biospecimens in Health Surveys. In: T. Johnson (Ed.). Handbook of Health Survey Methods. Hoboken, NJ: John Wiley and Sons, pp. 383-419.
  • Sakshaug, J.W., and Raghunathan, T.E. (2014). Nonparametric Generation of Synthetic Data for Small Geographic Areas. In: J. Domingo-Ferrer (Ed.). Privacy in Statistical Databases (Lecture Notes in Computer Science 8744). Heidelberg, Germany: Springer, 213-231.
  • Sakshaug, J.W. (2013). Using Paradata to Study Response to Within-Survey Requests. In: F. Kreuter (Ed.). Improving Surveys with Paradata: Analytic Use of Process Information. Hoboken, NJ: John Wiley and Sons, pp. 171-187. 
  • Sakshaug, J.W., and Raghunathan, T.E. (2010). Synthetic Data for Small Area Estimation. In: J. Domingo-Ferrer, and E. Magkos (Eds.). Privacy in Statistical Databases (Lecture Notes in Computer Science 6344). Heidelberg, Germany: Springer, pp. 162-173. 
  • Sakshaug, J.W. (2008). Capture-Recapture Sampling. In: P.J. Lavrakas (Ed.). Encyclopedia of Survey Research Methods. Thousand Oaks, CA: Sage Publications, pp. 80-81.
Journal articles:
    • Küfner, B., Sakshaug, J.W., and Zins, S. (2022). Establishment Survey Participation During the COVID-19 Pandemic. Journal for Labour Market Research, 56(18), 1-18.
    • Küfner, B., Sakshaug, J.W., and Zins, S. (2022). Analyzing Establishment Survey Nonresponse Using Administrative Data and Machine Learning. Journal of the Royal Statistical Society: Series A (Statistics in Society), 182(Suppl. 2), S310-S342.
    • Sakshaug, J.W. (2022). Reducing Nonresponse and Data Linkage Consent Bias in Large-Scale Panel Surveys. Forum for Health Economics & Policy, 25(1-2), 41-55.
    • Olbrich, L., Kosyakova, Y., and Sakshaug, J.W. (2022). The Reliability of Adult Self-Reported Height: The Role of Interviewers. Economics & Human Biology, 45:101118.
    • Bender, S., and Sakshaug, J.W. (2022). Data Sources for Business Statistics: What has Changed? The Survey Statistician, 85, 10-18.
    • Sakshaug, J.W., Cernat, A., Silverwood, R.J., Calderwood, L., and Ploubidis, G.B. (2022). Measurement Equivalence in Sequential Mixed-Mode Surveys. Survey Research Methods, 16(1), 29-43.
    • Schwanhäuser, S., Sakshaug, J.W., and Kosyakova, Y. (2022). How to Catch a Falsifier: Comparison of Statistical Detection Methods for Interviewer Falsification. Public Opinion Quarterly, 86(1), 51-81.
    • Kosyakova, Y., Olbrich, L., Sakshaug, J.W., and Schwanhäuser, S. (2022). Positive Learning or Deviant Interviewing? Mechanisms of Experience on Interviewer Behavior. Journal of Survey Statistics and Methodology, 10(2), 249-275.
    • Johnson, R.M., Crifasi, C., Anderson-Goodell, E.M., Wiśniowski, A., Sakshaug, J.W., Thrul, J., and Owens, M. (2021). Differences in Beliefs about COVID-19 by Gun Ownership: A Cross-Sectional Survey of Texas Adults. BMJ Open, 11:e048094.
    • Cernat, A., and Sakshaug, J.W. (2021). Understanding the Patterns of Mode Switching in Longitudinal Studies. Survey Research Methods, 15(3), 281-298.
    • Büttner, T.J.M., Sakshaug, J.W., and Vicari, B. (2021). Evaluating the Utility of Linked Administrative Data for Nonresponse Bias Adjustment in a Piggyback Longitudinal Survey. Journal of Official Statistics, 37(4), 837-864.
    • König, C., Sakshaug, J.W., Stegmaier, J., and Kohaut, S. (2021). Trends in Establishment Survey Nonresponse Rates and Nonresponse Bias: Evidence from the 2001-2017 IAB Establishment Panel. Journal of Official Statistics, 37(4), 931-953.
    • Peycheva, D.N., Sakshaug, J.W., and Calderwood, L. (2021). Occupation Coding During the Interview in a Web-First Sequential Mixed-Mode Survey. Journal of Official Statistics, 37(4), 981-1007.
    • Küfner, B., Sakshaug, J.W., and Zins, S. (2021). More Clarification, Less Item Nonresponse in Establishment Surveys? A Split-Ballot Experiment. Survey Research Methods, 15(2), 195-206.
    • Sakshaug, J.W., Schmucker, A., Kreuter, F., Couper, M.P., and Holtmann, L. (2021). Respondent Understanding of Data Linkage Consent. Survey Methods: Insights from the Field, 5, 1-15.
    • Cernat, A., Sakshaug, J.W., Chandola, T., Nazroo, J., and Shlomo, N. (2021). Nurse Effects on Non-Response in Survey-Based Biomeasures. International Journal of Social Research Methodology, 24(4), 487-499.
    • Cernat, A., and Sakshaug, J.W. (2021). Interviewer Effects in Biosocial Survey Measurements. Field Methods, 33(3), 236-252.
    • Moretti, A., Shlomo, N., and Sakshaug, J.W. (2021). Small Area Estimation of Latent Economic Well-being. Sociological Methods and Research, 50(4), 1660-1693.
    • Bavdaž, M., Snijkers, G., Sakshaug, J.W., Brand, T., Haraldsen, G., Kurban, B., Saraiva, P., and Willimack, D.K. (2020). Business Data Collection Methodology: Current State and Future Outlook. Statistical Journal of the IAOS, 36(3), 741-756.
    • Sakshaug, J.W., Beste, J., Coban, M., Fendel, T., Haas, G-C., Hülle, S., Kosyakova, Y., König, C., Kreuter, F., Küfner, B., Müller, B., Osiander, C., Schwanhäuser, S., Stephan, G., Vallizadeh, E., Volkert, M., Wenzig, C., Westermeier, C., Zabel, C., and Zins, S. (2020). Impacts of the COVID-19 Pandemic on Labor Market Surveys at the German Institute for Employment Research. Survey Research Methods, 14(2), 229-233.
    • Moretti, A., Shlomo, N., and Sakshaug, J.W. (2020). Parametric Bootstrap Mean Squared Error of a Small Area Multivariate EBLUP. Communications in Statistics – Simulation and Computation, 49(6), 1474-1486. 
    • Cernat, A., and Sakshaug, J.W. (2020). The Impact of Nurse Continuity on Biosocial Survey Participation. Survey Methods: Insights from the Field, 3, 1-14.
    • Sakshaug, J.W., Hülle, S., Schmucker, A., and Liebig, S. (2020). Panel Survey Recruitment With or Without Interviewers? Implications for Nonresponse, Panel Consent, and Total Recruitment Bias. Journal of Survey Statistics and Methodology, 8(3), 540-565.
    • Cernat, A., and Sakshaug, J.W. (2020). The Impact of Mixed Modes on Multiple Types of Measurement Error. Survey Research Methods, 14(1), 79-91.
    • Taub, J., Elliot, M., and Sakshaug, J.W. (2020). The Impact of Synthetic Data Generation on Data Utility with Application to the 1991 UK Samples of Anonymised Records. Transactions on Data Privacy, 13(1), 1-23. 
    • Moretti, A., Shlomo, N., and Sakshaug, J.W. (2020). Multivariate Small Area Estimation of Multidimensional Latent Economic Well-being Indicators. International Statistical Review, 88(1), 1-28.
    • Cernat, A., and Sakshaug, J.W. (2020). Nurse Effects on Measurement Error in Household Biosocial Surveys. BMC Medical Research Methodology, 20:45.
    • Wiśniowski, A., Sakshaug, J.W., Perez-Ruiz, D., and Blom, A.G. (2020). Integrating Probability and Nonprobability Samples for Survey Inference. Journal of Survey Statistics and Methodology, 8(1), 120-147.
    • Cornesse, C., Blom, A.G., Dutwin, D., Krosnick, J.A., de Leeuw, E.D., Legleye, S., Pasek, J., Pennay, D., Philips, B., Sakshaug, J.W., Struminskaya, B., and Wenz, A. (2020). A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research. Journal of Survey Statistics and Methodology, 8(1), 4-36.
    • Sakshaug, J.W., Stegmaier, J., Trappmann, M., and Kreuter, F. (2019). Does Benefit Framing Improve Record Linkage Consent Rates? A Survey Experiment. Survey Research Methods, 13(3), 289-304.
    • Cernat, A., Sakshaug, J.W., and Castillo, J. (2019). The Impact of Interviewer Effects on Skin Color Assessment in a Cross-National Context. International Journal of Public Opinion Research, 31(4), 779-793.
    • Sakshaug, J.W., Vicari, B., and Couper, M.P. (2019). Paper, Email, or Both? Effects of Contact Mode on Participation in a Web Survey of Establishments. Social Science Computer Review, 37(6), 750-765.
    • Sakshaug, J.W., Cernat, A., and Raghunathan, T.E. (2019). Do Sequential Mixed-Mode Surveys Decrease Nonresponse Bias, Measurement Error Bias, and Total Bias? An Experimental Study. Journal of Survey Statistics and Methodology, 7(4), 545-571.
    • Sakshaug, J.W., Wiśniowski, A., Perez Ruiz, D.A., and Blom, A.G. (2019). Supplementing Small Probability Samples with Nonprobability Samples: A Bayesian Approach. Journal of Official Statistics, 35(3), 653-681.
    • Sakshaug, J.W., Schmucker, A., Kreuter, F., Couper, M.P., and Singer, E. (2019). The Effect of Framing and Placement on Linkage Consent. Public Opinion Quarterly, 83(S1), 289-308.
    • Sakshaug, J.W., and Antoni, M. (2019). Evaluating the Utility of Indirectly Linked Federal Administrative Records for Nonresponse Bias Adjustment. Journal of Survey Statistics and Methodology, 7(2), 227-249.
    • Gessendorfer, J., Beste, J., Drechsler, J., and Sakshaug, J.W. (2018). Statistical Matching as a Supplement to Record Linkage of Survey and Administrative Data: A Valuable Method to Tackle Non-Consent Bias? Journal of Official Statistics, 34(4), 909-933.
    • West, B.T., Sakshaug, J.W., and Aurelien, G.A.S. (2018). Accounting for Complex Sampling in Survey Estimation: A Review of Current Software Tools. Journal of Official Statistics, 34(3), 721-752.
    • Speidel, M., Drechsler, J., and Sakshaug, J.W. (2018). Biases in Multilevel Analyses Caused by Cluster Specific Fixed Effects Imputation. Behavior Research Methods, 50(5), 1824-1840.
    • Sakshaug, J.W., and Vicari, B.J. (2018). Obtaining Record Linkage Consent from Establishments: The Impact of Question Placement on Consent Rates and Bias. Journal of Survey Statistics and Methodology, 6(1), 46-71.
    • West, B.T., and Sakshaug, J.W. (2018). The Need to Account for Complex Sampling Features when Analyzing Establishment Survey Data: An Illustration using the 2013 Business Research and Development Innovation Survey (BRDIS). Survey Methods: Insights from the Field, 1, 1-10.
    • Sakshaug, J.W., Hülle, S., Schmucker, A., and Liebig, S. (2017). Exploring the Effects of Interviewer- and Self-Administered Survey Modes on Record Linkage Consent Rates and Bias. Survey Research Methods, 11(2), 171-188.
    • Sakshaug, J.W., and Eckman, S. (2017). Following Up with Nonrespondents via Mode Switch and Shortened Questionnaire in an Economic Survey: Evaluating Nonresponse Bias, Measurement Error Bias, and Total Bias. Journal of Survey Statistics and Methodology, 5(4), 454-479.
    • Sakshaug, J.W., Antoni, M., and Sauckel, R. (2017). The Quality and Selectivity of Linking Federal Administrative Records to Respondents and Nonrespondents in a General Population Survey in Germany. Survey Research Methods, 11(1), 63-80.
    • Sakshaug, J.W., and Eckman, S. (2017). Are Survey Nonrespondents Willing to Provide Consent to Use Administrative Records? Evidence from a Nonresponse Follow-Up Survey in Germany. Public Opinion Quarterly, 81(2), 495-522.
    • Blom, A.G., Herzing, J.M.E., Cornesse, C., Sakshaug, J.W., Krieger, U., and Bossert, D. (2017). Does the Recruitment of Offline Households Increase the Sample Representativeness of Probability-Based Online Panels? Evidence from the German Internet Panel. Social Science Computer Review, 35(4), 498-520.
    • Sakshaug, J.W., Schmucker, A., Kreuter, F., Couper, M.P., and Singer, E. (2016). Evaluating Active (Opt-In) and Passive (Opt-Out) Consent Bias in the Transfer of Federal Contact Data to a Third-Party Survey Agency. Journal of Survey Statistics and Methodology, 4(3), 382-416.
    • West, B.T., Sakshaug, J.W., and Aurelien, G.A.S. (2016). How Big of a Problem is Analytic Error in Secondary Analyses of Survey Data? PLoS ONE, 11(6), e0158120.
    • Conrad, F.G., Couper, M.P., and Sakshaug, J.W. (2016). Classifying Open-Ended Reports: Factors Affecting the Reliability of Occupation Codes. Journal of Official Statistics, 32(1), 75-92.
    • Sakshaug, J.W., and Huber, M. (2016). An Evaluation of Panel Nonresponse and Linkage Consent Bias in a Survey of Employees in Germany. Journal of Survey Statistics and Methodology, 4(1), 71-93.
    • Kreuter, F., Sakshaug, J.W., and Tourangeau, R. (2016). The Framing of the Record Linkage Consent Question. International Journal of Public Opinion Research, 28(1), 142-152.
    • Chen, L.M., Sakshaug, J.W., Miller, D.C., Rosland, A.M., and Hollingsworth, J.M. (2015). The Association between Medical Home Readiness, Quality, and Care of Vulnerable Patients. The American Journal of Managed Care, 21(8), e480-486.
    • Sakshaug, J.W., Wolter, S., and Kreuter, F. (2015). Obtaining Record Linkage Consent: Results from a Wording Experiment in Germany. Survey Methods: Insights from the Field, 6, 1-12.
    • Sakshaug, J.W., and Raghunathan, T.E. (2014). Generating Synthetic Microdata to Estimate Small Area Statistics in the American Community Survey. Statistics in Transition, 15(3), 341-368.
    • Sakshaug, J.W., Hollenbeck, B.K., Wei, J.T., and Hollingsworth, J.M. (2014). Availability of In-Office Laboratory Services and Use of PSA Testing. Urology Practice, 1(3), 111-116.
    • Sakshaug, J.W., and Raghunathan, T.E. (2014). Generating Synthetic Data to Produce Public-Use Microdata for Small Geographic Areas Based on Complex Sample Survey Data with Application to the National Health Interview Survey. Journal of Applied Statistics, 41(10), 2103-2122.
    • Sakshaug, J.W., and Kreuter, F. (2014). The Effect of Benefit Wording on Consent to Link Survey and Administrative Records in a Web Survey. Public Opinion Quarterly, 78(1), 166-176.
    • Hollingsworth, J.M., Sakshaug, J.W., Zhang, Y., and Hollenbeck, B.K. (2014). In-Office Imaging Capabilities among Procedure-Based Specialty Practices. Surgical Innovation, 21(4), 403-408.
    • Sakshaug, J.W., Weir, D., and Nicholas, L.H. (2014). Identifying Diabetics in Medicare Claims and Survey Data: Implications for Health Services Research. BMC Health Services Research, 14:150.
    • Sakshaug, J.W., and West, B.T. (2014). Important Considerations when Analyzing Health Survey Data Collected using a Complex Sample Design. American Journal of Public Health, 104(1), 15-16.
    • Sakshaug, J.W., Miller, D.C., Hollenbeck, B.K., Wei, J.T., and Hollingsworth, J.M. (2013). Urologists and the Patient-Centered Medical Home. The Journal of Urology, 190(4), 1345-1349.
    • Sakshaug, J.W., Tutz, V., and Kreuter, F. (2013). Placement, Wording, and Interviewers: Identifying Correlates of Consent to Link Survey and Administrative Data. Survey Research Methods, 7(2), 133-144.
    • Zickafoose, J.S., Clark, S.J., Sakshaug, J.W., Chen, L.M., and Hollingsworth, J.M. (2013). Readiness of Primary Care Practices for Medical Home Certification. Pediatrics, 131(3), 473-482.
    • Sakshaug, J.W., Couper, M.P., Ofstedal, M.B., and Weir, D. (2012). Linking Survey and Administrative Records: Mechanisms of Consent. Sociological Methods and Research, 41(4), 535-569.
    • Sakshaug, J.W., and Kreuter, F. (2012). Assessing the Magnitude of Non-Consent Biases in Linked Survey and Administrative Data. Survey Research Methods, 6(2), 113-122.
    • Hollingsworth, J.M., Saint, S., Sakshaug, J.W., Hayward, R.A., Zhang, L., and Miller, D.C. (2011). Physician Practices and Readiness for Medical Home Reforms: Policy, Pitfalls, and Possibilities. Health Services Research, 47(1;Pt 2), 486-508. 
    • Sakshaug, J.W., and Kreuter, F. (2011). Using Paradata and Other Auxiliary Data to Examine Mode Switch Nonresponse in a “Recruit-and-Switch” Telephone Survey. Journal of Official Statistics, 27(2), 339-357. 
    • Sakshaug, J.W., Yan, Y., and Tourangeau, R. (2010). Nonresponse Error, Measurement Error, and Mode of Data Collection: Tradeoffs in a Multi-Mode Survey of Sensitive and Non-Sensitive Items. Public Opinion Quarterly, 74(5), 907-933. 
    • Sakshaug, J.W., Couper, M.P., and Ofstedal, M.B. (2010). Characteristics of Physical Measurement Consent in a Population-Based Survey of Older Adults. Medical Care, 48(1), 64-71.
    • Sakshaug, J.W., and Crawford, S.D. (2009). The Impact of Textual Messages of Encouragement on Web Survey Breakoffs: An Experiment. International Journal of Internet Science, 4(1), 50-60.
    Book reviews:
    • Sakshaug, J.W. (2014). Review of Raymond L. Chambers and Robert G. Clark, An Introduction to Model-Based Survey Sampling with Applications. Journal of Official Statistics, 30(3), 571-573.
    • Sakshaug, J.W. (2009). Review of Peter Lynn (Ed.), Methodology of Longitudinal Surveys. Journal of Official Statistics, 25(4), 605-608.
    Proceedings, Reports, Working Papers, Editorials, Magazines, Blogs:
    • Sakshaug, J.W. (2021). Reducing Nonresponse and Linkage Consent Bias in Large-Scale Panel Surveys. Report submitted to the US National Institute on Aging, Bethesda, MD.
    • Cernat, A., and Sakshaug, J.W. (2021). “My Next Question is, Could I Have Some Blood?”. Significance, 8(4), 8-9.
    • Olbrich, L., Kosyakova, Sakshaug, J.W., and Schwanhäuser, S. (2020). Interviewerkontrolle in der 4. Welle der IAB-BAMF-SOEP-Befragung von Geflüchteten, Stichproben M3-M5. SOEP Survey Papers 901: Series C. Berlin: DIW/SOEP.
    • Goodman, A., Brown, M., Silverwood, R.J., Sakshaug, J.W., Calderwood, L., Williams, J., Ploubidis, G.B. (2020). The Impact of Using the Web in a Mixed Mode Follow-Up of a Longitudinal Birth Cohort Study: Evidence from the National Child Development Study. CLS Working Paper 2020/9. London: UCL Center for Longitudinal Studies.
    • Sakshaug, J.W. (2020). Commentary on “How Understanding Society: The UK Household Longitudinal Study Adapted to the COVID-19 Pandemic” by Burton, Lynn, and Benzeval. Survey Research Methods, 14(2), 238-239.
    • Silverwood, R.J., Calderwood, L., Sakshaug, J.W., and Ploubidis, G.B. (2020). A Data Driven Approach to Understanding and Handling Non-Response in the Next Steps Cohort. CLS Working Paper 2020/5. London: UCL Center for Longitudinal Studies.
    • Blom, A.G., Cornesse, C., Sakshaug, J.W., and Wenz, A. (2020). Editorial: Recent Advances in Probability-Based and Nonprobability Survey Research. Journal of Survey Statistics and Methodology, 8(1), 2-3.
    • Purdam, K., and Sakshaug, J.W. (2019). What Do We Know About Voters Who Say ‘Don’t Know’ in Election Polls? The Conversation.
    • Cernat, A., Sakshaug, J.W., and Castillo, J. (2019). Measurement Error: Skin Colour and the Role of the Interviewer. Significance, 16(4), 10-11.
    • Calderwood, L., Brown, M., Goodman, A., Fitzsimons, E., Peycheva, D., Ploubidis, G.B., Sakshaug, J.W., Silverwood, R.J., Williams, J., and Wong, E. (2019). Survey Methods Research on Mode and Incentives. Report submitted to the UK Economic and Social Research Council (ESRC).
    • Brown, M., Calderwood, L., Goodman, A., Ploubidis, G.B., Sakshaug, J.W., and Silverwood, R.J. (2019). The Impact of Using the Web in a Mixed Mode Follow-Up of a Longitudinal Birth Cohort Study: Evidence from the National Child Development Study. Report submitted to the UK Economic and Social Research Council (ESRC).
    • Calderwood, L., Goodman, A., Ploubidis, G.B., Sakshaug, J.W., and Silverwood, R.J. (2019). An Investigation of Item Non-Response and Measurement Equivalence in a Mixed-Mode Cohort Study: Findings from the Next Steps Age 25 Sweep. Report submitted to the UK Economic and Social Research Council (ESRC).
    • Kosyakova, Y., Olbrich, L., Sakshaug, J.W., and Schwanhäuser, S. (2019). Identification of Interviewer Falsification in the IAB-BAMF-SOEP Survey of Refugees in Germany. FDZ-Methods Report 02-19, Institute for Employment Research, Nuremberg, Germany. 
    • Chen, Y., Elliot, M., and Sakshaug, J.W. (2017). Genetic Algorithms in Matrix Representation and Its Application in Synthetic Data. Report submitted to the Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality.
    • Taub, J., Elliot, M., and Sakshaug, J.W. (2017). A Study of the Impact of Synthetic Data Generation Techniques on Data Utility Using the 1991 UK Samples of Anonymised Records. Report submitted to the Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality.
    • Chen, Y., Elliot, M., and Sakshaug, J.W. (2016). A Genetic Algorithm Approach to Synthetic Data Production. Proceedings of the 1st International Workshop on Artificial Intelligence for Privacy and Security (PRAISE), 13, 1-13.
    • Purdam, K., Bourne, M., Sakshaug, J.W., and Bayliss, D. (2016). Definitely, Maybe? 5 Million ‘Don’t Knows’ and the EU Referendum. Manchester Policy Blogs, University of Manchester.
    • Kreuter, F., Sakshaug, J.W., and Trappmann, M. (2014). The 2010 PASS Interviewer Survey: Collecting Data for Research into Interviewer Effects. FDZ-Methods Report 02-14, Institute for Employment Research, Nuremberg, Germany.
    • Sakshaug, J.W., and Raghunathan, T.E. (2013). Synthetic Data for Small Area Estimation in the American Community Survey. Center for Economic Studies Discussion Paper Series. U.S. Census Bureau.
    • Sakshaug, J.W., and Kreuter, F. (2013). Experiments in Obtaining Data Linkage Consent in Web Surveys. Proceedings of the Conference on New Techniques and Technologies for Statistics (NTTS), Brussels, Belgium, March.
    • Jaenichen, U., and Sakshaug, J.W. (2012). Multiple Imputation of Household Income in the First Wave of PASS. FDZ-Methods Report 02-12, Institute for Employment Research, Nuremberg, Germany.
    • Sakshaug, J.W., Weir, D., and Nicholas, L.H. (2010). Validating Diabetes Disease Status in Claims and Survey Data. Proceedings of the International Methodology Symposium, Ottawa, ON, October.
    • Tourangeau, R., and Sakshaug, J.W. (2008). Weighting Documentation for the Stanford Major Research Instrumentation (MRI) Project. Report submitted to Abt SRBI, Cambridge, MA.
      • Tourangeau, R., Adams, T.K., Kennedy, C.K., and Sakshaug, J.W. (2008). Sampling Documentation for the Stanford Major Research Instrumentation (MRI) Project. Report submitted to Abt SRBI, Cambridge, MA.
      • Sakshaug, J.W. (2008). Results of Survey of Users of Cross-National European Social Science Data Sets. Report submitted to the European Science Foundation, Strasbourg, France.