Veröffentlichungen

2024

  • Rettig, T. & Blom, A. G. (2024). Investigating Respondent Attention to Experimental Text Lengths. Journal of Survey Statistics and Methodology, smad044. https://doi.org/10.1093/jssam/smad044

2023

  • Akhtar, A.; Ye, H. (2023). Reproducibility and Robustness Replicability of Gsottbauer et al. (2022), I4R Discussion Paper Series, No. 29, Institute for Replication (I4R). http://hdl.handle.net/10419/270890 
  • Bach, R. L., Cornesse, C., & Daikeler, J. (2023). Equipping the Offline Population with Internet Access in an Online Panel: Does It Make a Difference? Journal of Survey Statistics and Methodology, smad003. https://doi.org/10.1093/jssam/smad003
  • Behrens, L., Nyhuis, D., & Gschwend, T. (2023). Constructive and Destructive Legislative Review: The Government-Opposition Divide in Parliamentary Oversight. The Journal of Politics, 85(1), 223–239. https://doi.org/10.1086/720649 
  • Bjånesøy, L., Ivarsflaten, E., & Berntzen, L. E. (2023). Public political tolerance of the far right in contemporary Western Europe. West European Politics, 1–24. https://doi.org/10.1080/01402382.2023.2167046
  • Blesse, S. (2023). Do your tax problems make tax evasion seem more justifiable? Evidence from a survey experiment. European Journal of Political Economy, 102365. https://doi.org/10.1016/j.ejpoleco.2023.102365
  • Blesse, S., Buhlmann, F., & Doerrenberg, P. (2023). I am a Taxpayer ... Get Me Out of Here?!? Evidence on Attitudes Towards Simplifying the Tax Jungle.
  • Cornesse, C., & Blom, A. G. (2023). Response Quality in Nonprobability and Probability-based Online Panels. Sociological Methods & Research, 52(2), 879–908. https://doi.org/10.1177/0049124120914940 
  • Cornesse, C., Blom, A. G., Sohnius, M., Gonzalez Ocanto, M., Rettig, T., & Ungefucht, M. (2023). Experimental Evidence on Panel Conditioning Effects when Increasing the Surveying Frequency in a Probability-Based Online Panel. Survey Research Methods. https://doi.org/10.18148/srm/2023.v17i3.7990
  • Engelmann, D., Janeba, E., Mechtenberg, L., & Wehrhöfer, N. (2023). Preferences over taxation of high-income individuals: Evidence from a survey experiment. European Economic Review, 157, 104505. https://doi.org/10.1016/j.euroecorev.2023.104505 
  • Friedel, S., Felderer, B., Krieger, U., Cornesse, C., & Blom, A. G. (2023). The Early Bird Catches the Worm! Setting a Deadline for Online Panel Recrutiment Incentives. Social Science Computer Review, 41(2), 370–389. https://doi.org/10.1177/08944393221096970 
  • Gummer, T., Höhne, J. K., Rettig, T., Roßmann, J., & Kummerow, M. (2023). Is there a growing use of mobile devices in web surveys? Evidence from 128 web surveys in Germany. Quality & Quantity. https://doi.org/10.1007/s11135-022-01601-8
  • Gummer, T., Kunz, T., Rettig, T., & Höhne, J. K. (2023). How To Detect and Influence Looking Up Answers to Political Knowledge Questions in Web Surveys? Public Opinion Quarterly, nfad027. https://doi.org/10.1093/poq/nfad027
  • Höhne, J. K. (2023). Are respondents ready for audio and voice communication channels in online surveys? International Journal of Social Research Methodology, 26(3), 335–342. https://doi.org/10.1080/13645579.2021.1987121 
  • Rammstedt, B., Roemer, L., & Lechner, C. (2023). Consistency of the structural properties of the BFI-10 across 16 samples from eight large-scale surveys in Germany. European Journal of Psychological Assessment. https://doi.org/10.1027/1015-5759/a000765
  • Rammstedt, B., Roemer, L., Mutschler, J., & Lechner, C. (2023). The Big Five Personality Dimensions in Large-Scale Surveys: An Overview of 25 German Data Sets for Personality Research. Personality Science, 4, 1–25. doi.org/10.5964/ps.10769
  • Rettig, T. & Struminskaya, B. (2023). Memory Effects in Online Panel Surveys: Investigating Respondents’ Ability to Recall Responses from a Previous Panel Wave. Survey Research Methods. https://doi.org/10.18148/srm/2023.v17i3.7991
  • Rohr, B., Silber, H., & Felderer, B. (2023). Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Non-Probability Surveys with Populations Benchmarks [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/n6ehf

2022

2021

2020

2019

2018

2017

2016

2015

  • Blom, A. G., Gathmann, C., & Krieger, U. (2015). Setting Up an Online Panel Representative of the General Population: The German Internet Panel. Field Methods, 27(4), 391–408. https://doi.org/10.1177/1525822X15574494
  • Frech, E., König, T., & Osnabrügge, M. (2015). Öffentliche Unterstützung von Reformen und ihre Stabilität in Zeiten der Eurokrise – eine experimentelle Untersuchung der Wirksamkeit von Gegenargumenten. ZPol Zeitschrift für Politik­wissenschaft, 25(2), 219–245. https://doi.org/10.5771/1430-6387-2015-2-219
  • Greene, Z. D., & Haber, M. (2015). The consequences of appearing divided: An analysis of party evaluations and vote choice. Electoral Studies, 37, 15–27. https://doi.org/10.1016/j.electstud.2014.11.002
  • Haber, M. (2015). The legislative consequences of internal conflict and inter-party divisions. Research & Politics, 2(2), 1-8. https://doi.org/10.1177/2053168015589216
  • Pforr, K., Blohm, M., Blom, A. G., Erdel, B., Felderer, B., Fräßdorf, M., Hajek, K., Helmschrott, S., Kleinert, C., Koch, A., Krieger, U., Kroh, M., Martin, S., Saßenroth, D., Schmiedeberg, C., Trüdinger, E.-M., & Rammstedt, B. (2015). Are incentive effects on response rates and nonresponse bias in large-scale face-to-face surveys generalizable to Germany? Evidence from ten experiments. Public Opinion Quarterly, 79, 740-768. https://doi.org/10.1093/poq/nfv014

2014

2013

  • Blom, A. G., & Korbmacher, J. M. (2013). Measuring interviewer characteristics pertinent to social surveys: a conceptual framework. Survey Methods: Insights from the Field, 1, 1–16. https://doi.org/10.13094/SMIF-2013-00001
  • Blom, A. G., Gathmann, C., & Krieger, U. (2013). The German Internet panel: Method and results.