Publications

Articles in Refereed Journals

  • Boeschoten, L., De Schipper, N., Mendrik, A., Van der Veen, E., Struminskaya, B., Janssen, H., Araujo, T. (2023). Port: A software tool for digital data donation. Journal of Open Source Software, 8(90), 5596 https://doi.org/10.21105/joss.05596 [Full text]
  • Rettig, T., Struminskaya, B. (forthcoming). Memory Effects in Online Panel Surveys: Investigating Respondents’ Ability to Recall Responses from a Previous Panel Wave. Survey Research Methods
  • Kraemer, F., Silber, H., Struminskaya, B., Weiß, B., Bosnjak, M., Koßmann, J., Sand, M. (forthcoming). Satisficing Response Behavior Across Time: Assessing Negative Panel Conditioning Using an Experimental Design with Six Repetitions. Survey Research Methods
  • Struminskaya, B., Sakshaug, J. (2023). Ethical Considerations for Augmenting Surveys with Auxiliary Data Sources. Public Opinion Quarterly. https://doi.org/10.1093/poq/nfad030 [Full text]
  • Krämer, F., Silber, H., Struminskaya, B., Sand, M., Bosnjak, M., Kloßmann, J., Weiß, B. (2023). Panel Conditioning in A Probability-based Longitudinal study: A Comparison of Respondents with Different Levels of Survey Experience. Journal of Survey Statistics and Methodology, https://doi.org/10.1093/jssam/smad004
  • Schwarz, H., Revilla, M., Struminskaya, B. (2022). Do previous survey experience and participating due to an incentive affect response quality? Evidence from the CRONOS panel. Journal of Royal Statistical Society Series A. https://doi.org/10.1111/rssa.12857 [Full text]
  • Struminskaya, B., Gummer, T. (2022). Risk of Nonresponse Bias and the Length of the Field Period in a Mixed-mode General Population Panel. Journal of Survey Statistics and Methodology 10(1), 161-182. https://doi.org/10.1093/jssam/smab011 [Full text][Data][Code]
  • Bakker, J., Haan, M., Schouten, B., Struminskaya, B., Lugtig, P., Toepoel, V., Giesen, D., & Meertens, D. (2022). Testing the Effects of Automated Navigation in a General Population Web Survey. methods, data, analysis 16(1), 107-128. https://doi.org/10.12758/mda.2021.10 [Full text]
  • Struminskaya, B., Lugtig, P., Toepoel, V., Schouten, B., Giesen, D., Dolmans, R. (2021). Sharing data collected with smartphone sensors: Willingness, participation, and non-participation bias. Public Opinion Quarterly 85, 423-462. https://doi.org/10.1093/poq/nfab025 [Full text][Code]
  • Struminskaya, B., Toepoel, V., Lugtig, P., Haan, M., Luiten, A., Schouten, B. (2020). Understanding willingness to share smartphone-sensor data. Public Opinion Quarterly 84(3), 725-759. https://doi.org/10.1093/poq/nfaa044 [Full text][Data][Code]
  • Gummer, T., & Struminskaya, B. (2020). Early and Late Participation during the Field Period: Response Timing in a Mixed-Mode Probability-Based Panel Survey. Sociological Methods and Research, https://doi.org/10.1177/0049124120914921
  • Cornesse, C., Blom, A., Dutwin, D., Krosnick, J., De Leeuw, E., Legleye, S., Pasek, J., Pennay, D., Philips, B., Sakshaug, J., Struminskaya, B., 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. https://doi.org/10.1093/jssam/smz041
  • De Leeuw, E., Hox, J., Silber, H., Struminskaya, B., Vis, C. (2019). Development of an International Survey Attitude Scale: Measurement Equivalence, Reliability, and Predictive Validity. Measurement Instruments for the Social Sciences 1(9), 1-10. https://doi.org/10.1186/s42409-019-0012-x [Full text]
  • Keusch, F., Struminskaya, B., Antoun, C., Couper, M., Kreuter, F. (2019). Willingness to participate in passive mobile data collection. Public Opinion Quarterly 83(S1), 210-235. https://doi.org/10.1093/poq/nfz007 [Data]
  • Silber, H., Schröder, J., Struminskaya, B., Stocké, V., & Bosnjak, M. (2019). Does Panel Conditioning Affect Data Quality in Ego-centered Social Network Questions? Social Networks 56, 45-54. https://doi.org/10.1016/j.socnet.2018.08.003
  • Silber, H., Weiss, B., Struminskaya, B. and Durrant, G. (2018). Onlinebefragungen auf mobilen Endgeräten: Potentiale und Herausforderungen. PPmP – Psychotherapie Psychosomatik Medizinische Psychologie 68, 1-2.
  • Bosnjak, M., Dannwolf, T., Enderle, T., Schaurer, I., Struminskaya, B., Tanner, A. and Weyandt, K. (2018). Establishing an Open Probability-Based Mixed-Mode Panel of the General Population in Germany – The GESIS Panel. Social Science Computer Review, 36 (1), 103-115. https://doi.org/10.1177/0894439317697949
  • Struminskaya, B. (2016). Respondent Conditioning in Online Panel Surveys: Results of Two Field Experiments. Social Science Computer Review, 34 (1), 95-115. https://doi.org/10.1177/0894439315574022 [Data]
  • Struminskaya, B., Weyandt, K. and Bosnjak, M. (2015). The effects of questionnaire completion using mobile devices on data quality – Evidence from a probability-based general population panel. methods, data, analyses, 9 (2), 261–292. https://doi.org/10.12758/mda.2015.014 [Full text][Data]
  • Struminskaya, B., de Leeuw, E. D. and Kaczmirek, L. (2015). Mode system effects in an online panel study – Comparing a probability-based online panel with two face-to-face reference surveys. methods, data, analyses, 9 (1), 3-56. https://doi.org/10.12758/mda.2015.001 [Full text] [Data Data Data]

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Editorials in special issues

  • Sakshaug, J., Struminskaya, B. (2023). Augmenting Surveys with Paradata, Administrative Data, and Contextual Data. Special Issue of Public Opinion Quarterly. https://doi.org/10.1093/poq/nfad026 [Full text]
  • Maslovskaya, O., Struminskaya, B., Durrant, G. (2022). The Future of Online Data Collection in Social Surveys: Challenges, Developments and Applications. Special Issue of the Journal of Royal Statistical Society Series A ‘The Future of Online Data Collection in Social Surveys’
  • Struminskaya, B., Lugtig, P., Keusch, F., Höhne, J. (2020). Augmenting Surveys with Data from Sensors and Apps: Opportunities and Challenges. Social Science Computer Review Special Issue ‘Using Mobile Apps and Sensors in Surveys’ https://doi.org/10.1177/0894439320979951
  • Struminskaya, B. & Keusch, F. (2020). From web surveys to mobile web to apps, sensors, and digital traces. Survey Methods: Insights from the Field, Special Issue: ‘Advancements in Online and Mobile Survey Methods’. DOI:10.13094/SMIF-2020-00015 [Full text]

Books/Book Chapters

  • Struminskaya, B. (forthcoming). Digital technology for data collection. In: SAGE Handbook of Survey Development and Application. Ed. by Lucy R. Ford and Terri A. Scandura, SAGE.
  • Struminskaya, B., & Keusch, F. (forthcoming). Mobile devices and the collection of social research data. In: Research Handbook of Digital Sociology. Ed. By J. Skopek, Edward Elgar.
  • Struminskaya, B., & Bosnjak, M. (2021). Panel conditioning: Types, causes and empirical evidence of what we know so far. In: P. Lynn (Ed.) Advances in Longitudinal Survey Methodology. John Wiley & Sons.
  • Struminskaya, B. (2020). Panel Conditioning. In: The SAGE Encyclopedia of Research Methods, ed. by P. A. Atkinson, S. Delamont, R. A. Williams, A. Cernat. SAGE. http://dx.doi.org/10.4135/9781526421036915183
  • Keusch, F., Struminskaya, B., Kreuter, F. & Weichbold, M. (2020). Combining active and passive mobile data collection: A survey of concerns. In: Big Data Meets Survey Science. Ed. by C. Hill, P. Biemer, T. Buskirk, L. Japec, A. Kirchner, S. Kolenikov, and L. Lyberg., John Wiley & Sons. [Code]
  • Weiß, B., Silber, H., Struminskaya, B., Durrant, G. (2019). Mobile Befragungen. In: N. Baur and J. Blasius (Eds.). Handbuch Methoden der empirischen Sozialforschung. 2nd ed., Springer VS Verlag, pp. 675-686. https://www.springer.com/gp/book/9783658213077
  • Struminskaya, B., Kaczmirek, L., Schaurer, I. and Bandilla, W. (2014). Assessing representativeness of a probability-based online panel in Germany. In M. Callegaro, P. Lavrakas, J. Krosnick, R. Baker, J. Bethlehem and A. Göritz (Eds.). Online panel research: A data quality perspective. Wiley, pp. 61-85. [Code]

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Proceedings, Reports, and Working Papers

  • Keusch, F., Struminskaya, B., Hellwig, O., Oglesby, S., Stützer, C. M., Wachenfeld-Schell, A. (Eds.) (2021). Virtual 23rd General Online Research Conference Proceedings. Cologne: German Society for Online Research (DGOF).
  • Toepoel, V., Lugtig, P., Struminskaya, B., Elevelt, A., Haan, M. (2020). Adapting surveys to the modern world: Comparing a research messenger design to a regular responsive design for online surveys. Survey Practice.  https://doi.org/10.29115/SP-2020-0010 [Full text]
  • Struminskaya, B., Keusch, F., Hellwig, O., Oglesby, S., Stützer, C. M., Wachenfeld-Schell, A. (Eds.) (2020). Virtual 22st General Online Research Conference Proceedings. Cologne: German Society for Online Research (DGOF).
  • Stadtmüller, S., Silber, H., Daikeler, J., Martin, S., Sand, M., Schmich, P., Schröder, J., Struminskaya, B., Weyandt, K. W., & Zabal, A. (2019). Adaptation of the AAPOR Final Disposition Codes for the German Survey Context. Mannheim, GESIS – Leibniz-Institute for the Social Sciences (GESIS – Survey Guidelines).  doi: 10.15465/gesis-sg_en_026
  • Keusch, F., Struminskaya, B., Hellwig, O., Stützer, C., Thielsch, M., Wachenfeld-Schell, A. (Eds.) (2019). 21st General Online Research Conference Proceedings. Cologne: DGOF.
  • Struminskaya, B., Gauly, B., Daikeler, J., Khorshed, J. and Jedinger, A. (2018). Survey data documentation. Mannheim: GESIS – Leibniz-Institut für Sozialwissenschaften.
  • Struminskaya, B., Keusch, F., Hellwig, O., Stützer, C., Thielsch, M., Wachenfeld-Schell, A. (Eds.) (2018). 20th General Online Research Conference Proceedings. Cologne: DGOF.
  • Schröder, J., Blohm, M., Struminskaya, B., Pforr, K., Silber, H. and Bosnjak, M. (2016). Leitfaden zur Erstellung einer Leistungsbeschreibung für die Ausschreibung von Interviewer-administrierten Befragungen. Mannheim: GESIS – Leibniz-Institut für Sozialwissenschaften, Translated title: Practice guideline for preparing tender offers for interviewer-administered surveys.
  • Struminskaya, B. (2011). Selbständigkeit von Personen mit Migrationshintergrund in Deutschland: Ursachen ethnischer Unternehmung. Berlin: DIW German Institute for Economic Research.
    http://dx.doi.org/10.2139/ssrn.1980619
  • Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W., Gabler, S. and Haeder, S. (2011). Identifying non-working numbers in cell phone RDD samples via HLR-Lookup technology: Reduced survey costs and higher precision in response rate calculation. Survey Practice 4(4) https://doi.org/10.29115/SP-2011-0021

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