Since fall 2013, Prof. Dr. Ulf-Dietrich Reips is a full professor at University of Konstanz, Germany (located overlooking Lake Constance and with a view of the Swiss Alps). Previous positions included a tenured Ikerbasque Research Professorship at the University of Deusto, Spain, assistant professorships and postdoc fellowships at the University of Zurich in Switzerland. In July 2004, Ulf received the Venia legendi for Psychology ("habilitation" with title "Privatdozent", PD) in the Faculty for the Science of Information and Cognition at the University of Tübingen, Germany. His Ph.D. in Psychology 1997 (also from the University of Tübingen) was on the "Acquisition of causal knowledge", and he received his M.A. in Psychology 1992 from Sonoma State University (SSU), California, for work on a group observation tool.
As a methodologist Ulf has conducted research to the advancement of methodologies and techniques for Internet-based Science or iScience, especially Web experiment methods. In 1995, he founded the Web Experimental Psychology Lab, in 2000 he and his group developed WEXTOR, an online Web (and lab) experiment generator that also teaches experimental design. Other online projects include Social Lab, an open source "Facebook" from researchers for researchers, the ::web experiment list::, a comprehensive archive of Web experiments, the questionnaire checker, Scientific LogAnalyzer, Virtual Team Trainer and iScience Maps, a service for researchers to search Twitter. Find these and other tools at the iScience server.
Ulf is founding editor of the International Journal of Internet Science, a past president of the Society for Computers in Psychology, and a founder and former vice-president of the German Society for Online Research. He organized several of their International General Online Research conferences (GOR). He is Chair of Working Group II “Innovation in Web-based data collection” of the European Science Foundation COST Action WEBDATANET. Research interests include: Methodology of Internet-based experiments, potential biases inherent in online and offline research, privacy and social desirability in online studies, teaching with net-based technologies, social cognition, causal knowledge.
Recently, Ulf was named among the "top 1% academics" on Academia.edu.
- Applied Social Psychology
- Internet and Virtual Psychology
- Judgment and Decision Making
- Research Methods, Assessment
- Social Cognition
Research Group or Laboratory:
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- Batinic, B., Reips, U.-D., & Bosnjak, M. (Eds.). (2002). Online social sciences. Seattle, WA: Hogrefe & Huber.
- Joinson, A. N., McKenna, K., Postmes, T., & Reips, U.-D. (Eds.). (2007). The Oxford handbook of Internet psychology. Oxford University Press.
- Reips, U.-D., Batinic, B., Bandilla, W., Bosnjak, M., Graef, L., Moser, K., & Werner, A. (Eds.). (1999). Current Internet science: Trends, techniques, results. Aktuelle Online-Forschung - Trends, Techniken, Ergebnisse. Zürich: Online Press. [WWW document].
- Reips, U.-D., & Bosnjak, M. (Eds.) (2001). Dimensions of Internet Science. Lengerich: Pabst.
- Dillman, D. A., Reips, U.-D., & Matzat, U. (2010). Advice in surveying the general public over the Internet. International Journal of Internet Science, 5, 1-4.
- Funke, F., Reips, U.-D., & Thomas, R. K. (2011). Sliders for the smart: Type of rating scale on the Web interacts with educational level. Social Science Computer Review, 29, 221-231.
- Garaizar, P., & Reips, U.-D. (2013). Build your own social network laboratory with Social Lab: a tool for research in social media. Behavior Research Methods. doi: 10.3758/s13428-013-0385-3
- Reips, U.-D. (2011). Journal impact revisited. International Journal of Internet Science, 6, 1-7.
- Reips, U.-D. (2002). Internet-based psychological experimenting: Five dos and five don'ts. Social Science Computer Review, 20(3), 241-249.
- Reips, U.-D. (2002). Standards for Internet-based experimenting. Experimental Psychology, 49(4), 243-256.
- Reips, U.-D. (2001). The Web Experimental Psychology Lab: Five years of data collection on the Internet. Behavior Research Methods, Instruments, and Computers, 33, 201-211.
- Reips, U.-D., & Buffardi, L. (2012). Studying migrants with the help of the Internet: Methods from psychology. Journal of Ethnic and Migration Studies, 38(9), 1405-1424. doi:10.1080/1369183X.2012.698208
- Reips, U.-D., & Funke, F. (2008). Interval-level measurement with visual analogue scales in Internet-based research: VAS Generator. Behavior Research Methods.
- Reips, U.-D., & Garaizar, P. (2011). Mining Twitter: A source for psychological wisdom of the crowds. Behavior Research Methods, 43, 635-642. doi http://dx.doi.org/10.3758/s13428-011-0116-6
- Reips, U.-D., & Neuhaus, C. (2002). WEXTOR: A Web-based tool for generating and visualizing experimental designs and procedures. Behavior Research Methods, Instruments, and Computers, 34, 234-240.
- Reips, U.-D., & Stieger, S. (2004). Scientific LogAnalyzer: A Web-based tool for analyses of server log files in psychological research. Behavior Research Methods, Instruments, and Computers, 36(2), 304-311.
- Reips, U.-D., & Waldmann, M. (2008). When learning order affects sensitivity to base rates: Challenges for theories of causal learning. Experimental Psychology, 55, 9-22.
- Buchanan, T., & Reips, U.-D. (2001). Platform-dependent biases in online research: Do Mac users really think different? In K. J. Jonas, P. Breuer, B. Schauenburg & M. Boos (Eds.), Perspectives on Internet Research: Concepts and Methods. [WWW document].
- Oiarzabal, P. J., & Reips, U.-D. (Eds.). (2012). Migration and the Internet: Social networking and diasporas [special issue]. Journal of Ethnic and Migration Studies (JEMS), 38(9).
- Reips, U.-D. (2000). The web experiment method: Advantages, disadvantages, and solutions. In M. H. Birnbaum (Ed.), Psychological experiments on the Internet (pp. 89-118). San Diego, CA: Academic Press.
- Causality and Categorization
- Judgments, Decisions and Self-Deception
- Online Psychological Research
- Psychology and the Internet
- Research Methods: Experimental
- Statistics and Research Methods
iScience group, Fach 31
- Phone: +49 7531 88 2564