Publications: Statistical Methods (KEM)
-
Contact Modes and Participation in App-Based Smartphone Surveys: Evidence From a Large-Scale Experiment
Lawes, M., Hetschko, C., Sakshaug, J. & Grießemer, S. (2022): Contact Modes and Participation in App-Based Smartphone Surveys: Evidence From a Large-Scale Experiment. In: Social science computer review, Vol. 40, No. 5, p. 1076-1092. DOI:10.1177/0894439321993832
-
Interviewer Effects in Biosocial Survey Measurements
Cernat, A. & Sakshaug, J. (2021): Interviewer Effects in Biosocial Survey Measurements. In: Field Methods, Vol. 33, No. 3, p. 236-252. DOI:10.1177/1525822X21997231
-
Working from home in times of the Covid-19 pandemic: Extent, challenges and potentials for the future
Frodermann, C., Grunau, P., Haas, G. & Müller, D. (2021): Homeoffice in Zeiten von Corona: Nutzung, Hindernisse und Zukunftswünsche. (IAB-Kurzbericht 05/2021), Nürnberg, 11 p.
-
The impact of the Covid-19 pandemic: evidence from a new establishment survey (Series "COVID-19 Crisis: Consequences for the Labour Market")
Bellmann, L., Gleiser, P., Kagerl, C., Kleifgen, E., Koch, T., König, C., Leber, U., Pohlan, L., Roth, D., Schierholz, M., Stegmaier, J. & Aminian, A. (2021): The impact of the Covid-19 pandemic: evidence from a new establishment survey (Series "COVID-19 Crisis: Consequences for the Labour Market"). In: IAB-Forum No. 26.02.2021 Nürnberg, o. Sz.
-
Positive Learning or Deviant Interviewing? Mechanisms of Experience on Interviewer Behavior
Kosyakova, Y., Olbrich, L., Sakshaug, J. & Schwanhäuser, S. (2022): Positive Learning or Deviant Interviewing? Mechanisms of Experience on Interviewer Behavior. In: Journal of survey statistics and methodology, Vol. 10, No. 2, p. 249-275. DOI:10.1093/jssam/smab003
-
Trajectories of Mental Distress Among US Adults During the COVID-19 Pandemic
Riehm, K., Holingue, C., Smail, E., Kapteyn, A., Bennett, D., Thrul, J., Kreuter, F., McGinty, E., Kalb, L., Veldhuis, C., Johnson, R., Fallin, M. & Stuart, E. (2021): Trajectories of Mental Distress Among US Adults During the COVID-19 Pandemic. In: Annals of behavioral medicine, Vol. 55, No. 2, p. 93-102. DOI:10.1093/abm/kaaa126
-
Private Post-GAN Boosting
Neunhoeffer, M., Wu, Z. & Dwork, C. (2021): Private Post-GAN Boosting. In: ICLR (Hrsg.) (2021): International Conference on Learning Representations 2021, p. 1-19.
-
Synthesizing Geocodes to Facilitate Access to Detailed Geographical Information in Large-Scale Administrative Data
Drechsler, J. & Hu, J. (2021): Synthesizing Geocodes to Facilitate Access to Detailed Geographical Information in Large-Scale Administrative Data. In: Journal of survey statistics and methodology, Vol. 9, No. 3, p. 523-548. DOI:10.1093/jssam/smaa035
-
Using Geofences to Collect Survey Data: Lessons Learned From the IAB-SMART Study
Bähr, S., Haas, G., Kreuter, F., Trappmann, M. & Keusch, F. (2020): Using Geofences to Collect Survey Data: Lessons Learned From the IAB-SMART Study. In: Survey Methods: Insights from the Field, p. 1-12. DOI:10.13094/SMIF-2020-00023
-
The Carryover Effects of Preceding Interviewer–Respondent Interaction on Responses in Audio Computer-Assisted Self-Interviewing (ACASI)
Sun, H., Conrad, F. & Kreuter, F. (2022): The Carryover Effects of Preceding Interviewer–Respondent Interaction on Responses in Audio Computer-Assisted Self-Interviewing (ACASI). In: Journal of survey statistics and methodology, Vol. 10, No. 2, p. 299-316. DOI:10.1093/jssam/smaa019
-
Rethinking the Role of Racial Segregation in the American Foreclosure Crisis
Latner, J. (2017): Rethinking the Role of Racial Segregation in the American Foreclosure Crisis. In: City & Community, Vol. 16, No. 4, p. 447-485. DOI:10.1111/cico.12253
-
Synthetic microdata for establishment surveys under informative sampling
Kim, H., Drechsler, J. & Thompson, K. (2021): Synthetic microdata for establishment surveys under informative sampling. In: Journal of the Royal Statistical Society. Series A, Statistics in Society, Vol. 184, No. 1, p. 255-281. DOI:10.1111/rssa.12622
-
Machine learning for occupation coding - a comparison study
Schierholz, M. & Schonlau, M. (2021): Machine learning for occupation coding - a comparison study. In: Journal of survey statistics and methodology, Vol. 9, No. 5, p. 1013-1034. DOI:10.1093/jssam/smaa023
-
Nurse Effects on Non-Response in Survey-Based Biomeasures
Cernat, A., Sakshaug, J., Chandola, T., Nazroo, J. & Shlomo, N. (2021): Nurse Effects on Non-Response in Survey-Based Biomeasures. In: International Journal of Social Research Methodology, Vol. 24, No. 4, p. 487-499. DOI:10.1080/13645579.2020.1832737
-
How effective are enforcement measures for compliance with the minimum wage?
Bossler, M., Jaenichen, U. & Schächtele, S. (2022): How effective are enforcement measures for compliance with the minimum wage? Evidence from Germany. In: Economic and Industrial Democracy, Vol. 43, No. 2, p. 943-971. DOI:10.1177/0143831X20962193
-
The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond
Speidel, M., Drechsler, J. & Jolani, S. (2020): The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond. In: Journal of statistical software, Vol. 95, No. 9, p. 1-48. DOI:10.18637/jss.v095.i09
-
Linking Surveys with Big Data
Sakshaug, J. (2020): Linking Surveys with Big Data. Issues of Consent. In: B. Klumpe, J. Schröder & M. Zwick (Hrsg.) (2020): Qualität bei zusammengeführten Daten - Befragungsdaten, Administrative Daten, neue digitale Daten: Miteinander besser?, Wiesbaden, Springer VS p. 163-173. DOI:10.1007/978-3-658-31009-7_12
-
TippingSens: An R Shiny Application to Facilitate Sensitivity Analysis for Causal Inference Under Confounding
Haensch, A., Drechsler, J. & Bernhard, S. (2020): TippingSens: An R Shiny Application to Facilitate Sensitivity Analysis for Causal Inference Under Confounding. (IAB-Discussion Paper 29/2020), Nürnberg, 39 p.
-
Data linkage
Antoni, M. & Sakshaug, J. (2020): Data linkage. In: P. A. Atkinson, A. Cernat, S. Delamont, J. Sakshaug & R. A. Williams (Eds.) (2020): SAGE Research Methods foundations, p. 1-18. DOI:10.4135/9781526421036931838
-
Secure Matrix Computation: A Viable Alternative to Record Linkage?
Drechsler, J. & Klein, B. (2020): Secure Matrix Computation: A Viable Alternative to Record Linkage? In: J. Domingo-Ferrer & K. Muralidhar (Hrsg.) (2020): Privacy in Statistical Databases, Cham, p. 240-254. DOI:10.1007/978-3-030-57521-2_17