Skip to main content
SpringerLink
Log in

Mobile Datenerhebung in einem Panel Die IAB-SMART Studie

  • Chapter
  • First Online:
Sozialwissenschaftliche Datenerhebung im digitalen Zeitalter

Zusammenfassung

Smartphones sind für viele Menschen zu einem selbstverständlichen Bestandteil des Alltags geworden. Sie werden neben der Nutzung zur Kommunikation, Unterhaltung und Information auch bei der Jobsuche und im Arbeitsalltag genutzt (Perrin 2017). Dies bietet Möglichkeiten Smartphones als Datenerhebungsinstrument für die wissenschaftliche Forschung einzusetzen.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 74.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

  • Bähr, S., Haas, G.-C., Keusch, F., Kreuter, F., & Trappmann, M. (2020). Missing Data and Other Measurement Quality Issues in Mobile Geolocation Sensor Data. Social Science Computer Review. https://doi.org/10.1177/0894439320944118

  • Baier, T., Metzler, A., & Fuchs, M. (2018, 16. Mai). Coverage Error in Mobile Web Surveys across European Countries 2014-2017. 73rd Annual Conference of the America Association for Public Opinion Research, Denver, CO.

    Google Scholar 

  • Chittaranjan, G., Blom, J., & Gatica-Perez, D. (2013). Mining Large-Scale Smartphone Data for Personality Studies. Personal and Ubiquitous Computing, 17(3), 433–450. https://doi.org/10.1007/s00779-011-0490-1

  • Couper, M. P. (2019, 4. März). Mobile Data Collection: A Survey Researcher’s Perspective. 1st MASS Workshop, Mannheim, Germany.

    Google Scholar 

  • Couper, M. P., Antoun, C., & Mavletova, A. (2017). Mobile Web Surveys: A Total Survey Error Perspective. In P. P. Biemer, E. de Leeuw, S. Eckman, B. Edwards, F. Kreuter, L. E. Lyberg, N. C. Tucker, & B. T. West (Hrsg.), Total Survey Error in Practice (S. 133–154). John Wiley & Sons. https://doi.org/10.1002/9781119041702.ch7

  • Couper, M. P., Gremel, G., Axinn, W., Guyer, H., Wagner, J., & West, B. T. (2018). New Options for National Population Surveys: The Implications of Internet and Smartphone Coverage. Social Science Research, 73, 221–235. https://doi.org/10.1016/j.ssresearch.2018.03.008

  • Couper, M. P., & Singer, E. (2013). Informed Consent for Web Paradata Use. Survey Research Methods, 7, 57–67. https://doi.org/10.18148/srm/2013.v7i1.5138

  • de Montjoye, Y.-A., Quoidbach, J., Robic, F., & Pentland, A. (2013). Predicting Personality Using Novel Mobile Phone-Based Metrics. In A. M. Greenberg, W. G. Kennedy, & N. D. Bos (Hrsg.), Social Computing, Behavioral-Cultural Modeling and Prediction (Bd. 7812, S. 48–55). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-37210-0_6

  • Elevelt, A., Lugtig, P., & Toepoel, V. (2019). Doing a Time Use Survey on Smartphones Only: What Factors Predict Nonresponse at Different Stages of the Survey Process? Survey Research Methods, 13(2), 195–213. https://doi.org/10.18148/SRM/2019.V13I2.7385

  • Fuchs, M., & Busse, B. (2009). The Coverage Bias of Mobile Web Surveys A cross European Countries. International Journal of Internet Science, 4, 21–33.

    Google Scholar 

  • Götz, F. M., Stieger, S., & Reips, U.-D. (2017). Users of the Main Smartphone Operating Systems (iOS, Android) Differ Only Little in Personality. PLOS One, 12(5), e0176921. https://doi.org/10.1371/journal.pone.0176921

  • Groves, R. M., Fowler, F. J., Couper, M. P., Lepkowski, J. M., Singer, E., & Tourangeau, R. (2009). Survey Methodology (2. Aufl.). John Wiley & Sons.

    Google Scholar 

  • Haas, G.-C., Kreuter, F., Keusch, F., Trappmann, M., & Bähr, S. (2020a). Effects of Incentives in Smartphone Data Collection. In C. A. Hill, P. P. Biemer, T. D. Buskirk, L. Japec, A. Kirchner, S. Kolenikov, & L. E. Lyberg (Hrsg.), Big Data Meets Survey Science: A Collection of Innovative Methods (1. Aufl., S. 387–414). John Wiley & Sons. https://doi.org/10.1002/9781118976357.ch13

  • Haas, G.-C., Trappmann, M., Keusch, F., Bähr, S., & Kreuter, F. (2020b). Using Geofences to Collect Survey Data: Lessons Learned From the IAB-SMART Study. Survey Methods: Insights from the Field, Special issue: ‘Advancements in Online and Mobile Survey Methods’. https://doi.org/10.13094/SMIF-2020-00023

  • Harari, G. M., Gosling, S. D., Wang, R., Chen, F., Chen, Z., & Campbell, A. T. (2017). Patterns of Behavior Change in Students over an Academic Term: A Preliminary Study of Activity and Sociability Behaviors Using Smartphone Sensing Methods. Computers in Human Behavior, 67, 129–138. https://doi.org/10.1016/j.chb.2016.10.027

  • Kahnemann, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.

    Google Scholar 

  • Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F., & Trappmann, M. (2020a). Coverage Error in Data Collection Combining Mobile Surveys With Passive Measurement Using Apps: Data From a German National Survey. Sociological Methods & Research. https://doi.org/10.1177/0049124120914924

  • Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F., & Trappmann, M. (2020b, 11.-12. Juni). Participation Rates and Bias in a Smartphone Study Collecting Self-Reports and Passive Mobile Measurements Using a Research App. AAPOR 75th Annual Conference, Virtual Conference.

    Google Scholar 

  • Kreuter, F., Haas, G.-C., Keusch, F., Bähr, S., & Trappmann, M. (2020). Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent. Social Science Computer Review, 38(5), 533–549. https://doi.org/10.1177/0894439318816389

  • Kreuter, F., Sakshaug, J. W., & Tourangeau, R. (2016). The Framing of the Record Linkage Consent Question. International Journal of Public Opinion Research, 28(1), 142–152. https://doi.org/10.1093/ijpor/edv006

  • Link, M. W., Murphy, J., Schober, M. F., Buskirk, T. D., Childs, J. H., & Tesfaye, C. L. (2014). Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys: Executive Summary of the AAPOR Task Force on Emerging Technologies in Public Opinion Research. Public Opinion Quarterly, 78(4), 779–787. https://doi.org/10.1093/poq/nfu054

  • McCrae, R. R., & John, O. P. (1992). An Introduction to the Five-Factor Model and Its Applications. Journal of Personality, 60(2), 175–215. https://doi.org/10.1111/j.1467-6494.1992.tb00970.x

  • Metzler, A., & Fuchs, M. (2014, 1. Dezember). Coverage Error in Mobile Web Surveys across European Countries. 7th Internet Survey Methodology Workshop, Bozen-Bolzano, Italy.

    Google Scholar 

  • Perrin, A. (2017, 28. Juni). 10 Facts about Smartphones. Pew Research Center. Abgerufen 10. November 2020, von https://www.pewresearch.org/fact-tank/2017/06/28/10-facts-about-smartphones/

  • Pew Research Center. (2017). Mobile Fact Sheet. Washington, DC: Pew Research Center. Abgerufen 4. Juli 2019, von https://www.pewresearch.org/internet/fact-sheet/mobile/

  • Pryss, R., Reichert, M., Schlee, W., Spiliopoulou, M., Langguth, B., & Probst, T. (2018). Differences between Android and iOS Users of the TrackYourTinnitus Mobile Crowdsensing mHealth Platform. 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 411–416. https://doi.org/10.1109/CBMS.2018.00078

  • Raento, M., Oulasvirta, A., & Eagle, N. (2009). Smartphones: An Emerging Tool for Social Scientists. Sociological Methods & Research, 37(3), 426–454. https://doi.org/10.1177/0049124108330005

  • Sakshaug, J. W., Wolter, S., & Kreuter, F. (2015). Obtaining Record Linkage Consent: Results from a Wording Experiment in Germany. Survey Methods: Insights from the Field (SMIF). https://doi.org/10.13094/SMIF-2015-00012

  • Scherpenzeel, A. (2017). Mixing Online Panel Data Collection with Innovative Methods. In S. Eifler & F. Faulbaum (Hrsg.), Methodische Probleme von Mixed-Mode-Ansätzen in der Umfrageforschung (S. 27–49). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-15834-7_2

  • Shaw, H., Ellis, D., Kendrick, L.-R., Ziegler, F., & Wiseman, R. (2016). Predicting Smartphone Operating System from Personality and Individual Differences. Cyberpsychology, Behavior, and Social Networking, 19, 727–732. https://doi.org/10.1089/cyber.2016.0324

  • Stachl, C., Hilbert, S., Au, J.-Q., Buschek, D., De Luca, A., Bischl, B., Hussmann, H., & Bühner, M. (2017). Personality Traits Predict Smartphone Usage. European Journal of Personality, 31(6), 701–722. https://doi.org/10.1002/per.2113

  • Struminskaya, B., Lugtig, P., Schouten, B., Toepoel, V., Haan, M., Dolmans, R., Giesen, D., Luiten, A., & Meertens, V. (2018, 25. Oktober). Collecting Smartphone Sensor Measurements in the General Population: Willingness and Nonparticipation. BigSurv18, Barcelona, Spain.

    Google Scholar 

  • Trappmann, M., Bähr, S., Beste, J., Eberl, A., Frodermann, C., Gundert, S., Schwarz, S., Teichler, N., Unger, S., & Wenzig, C. (2019). Data Resource Profile: Panel Study Labour Market and Social Security (PASS). International Journal of Epidemiology, 48(5), 1411–1411g. https://doi.org/10.1093/ije/dyz041

  • Ubhi, H. K., Kotz, D., Michie, S., van Schayck, O. C. P., & West, R. (2017). A Comparison of the Characteristics of iOS and Android Users of a Smoking Cessation App. Translational Behavioral Medicine, 7(2), 166–171. https://doi.org/10.1007/s13142-016-0455-z

  • Xu, R., Frey, R. M., Fleisch, E., & Ilic, A. (2016). Understanding the Impact of Personality Traits on Mobile App Adoption – Insights from a Large-Scale Field Study. Computers in Human Behavior, 62, 244–256. https://doi.org/10.1016/j.chb.2016.04.011

Download references

Author information

Authors and Affiliations

  1. Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nuremberg, Deutschland

    Sonja Malich, Sebastian Bähr, Georg-Christoph Haas, Frauke Kreuter & Mark Trappmann

  2. Universität Mannheim, Mannheim, Deutschland

    Florian Keusch & Georg-Christoph Haas

  3. University of Maryland, Maryland, Deutschland

    Frauke Kreuter

  4. Ludwig-Maximilians-Universität München, München, Deutschland

    Frauke Kreuter

  5. Otto-Friedrich-Universität Bamberg, Bamberg, Deutschland

    Mark Trappmann

Authors
  1. Sonja Malich
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Florian Keusch
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sebastian Bähr
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Georg-Christoph Haas
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Frauke Kreuter
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Mark Trappmann
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sonja Malich .

Editor information

Editors and Affiliations

  1. Fachbereich Wirtschafts- und Sozialwissenschaften, FAU Erlangen-Nürnberg, Nürnberg, Germany

    Tobias Wolbring

  2. Fachbereich Soziologie, Katholische Universität Eichstätt- Ingolstadt, Eichstätt, Germany

    Heinz Leitgöb

  3. Institut für Soziologie, Universität Duisburg-Essen, Duisburg, Germany

    Frank Faulbaum

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Der/die Autor(en), exklusiv lizenziert durch Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Malich, S., Keusch, F., Bähr, S., Haas, GC., Kreuter, F., Trappmann, M. (2021). Mobile Datenerhebung in einem Panel Die IAB-SMART Studie. In: Wolbring, T., Leitgöb, H., Faulbaum, F. (eds) Sozialwissenschaftliche Datenerhebung im digitalen Zeitalter. Schriftenreihe der ASI - Arbeitsgemeinschaft Sozialwissenschaftlicher Institute. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-34396-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-34396-5_2

  • Published:

  • Publisher Name: Springer VS, Wiesbaden

  • Print ISBN: 978-3-658-34395-8

  • Online ISBN: 978-3-658-34396-5

  • eBook Packages: Social Science and Law (German Language)

Publish with us

Policies and ethics

Search

Navigation