publications - articles
- Legate, N., Nguyen, T. T., Weinstein, N., Moller, A. C., Legault, L., … Reips, U.-D., … Primbs, M. (2021, under review). A global experiment on motivating social distancing during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/n3dyf
- Kuhlmann, T., Garaizar, P., & Reips, U.-D. (2021). Smartphone sensor accuracy varies from device to device in mobile research: The case of spatial orientation. Behavior Research Methods, 53, 22-33. https://doi.org/10.3758/s13428-020-01404-5
- Selkälä A., Viinamäki L., Suikkanen A. & Reips, U.-D. (2021). Web survey entry selection by a mailed invitation letter. Survey Practice, 14(1). https://doi.org/10.3758/s13428-020-01527-9
- Sass, R., Frick, S., Reips, U.-D. (2020). Taking the test-taker’s perspective: Response process and test motivation in multidimensional forced-choice vs. rating scale instruments. Assessment, 27(3), 572-584. https://doi.org/10.1177/1073191118762049
- Kaufmann, E. (2020). How accurately do teachers’ judge students? Re-analysis of meta-analysis. Contemporary Educational Psychology, 101902.
- Vésteinsdóttir, V., Asgeirsdottir, R. L., Reips, U.-D., & Thorsdottir, F. (2021). Item-pair measures of acquiescence: the artificial inflation of socially desirable responding. International Journal of Social Research Methodology, 24(3), 279-287.
- Cipora, K., Soltanlou, M., Reips, U.-D., & Nuerck, H.-C. (2019). The SNARC and MARC effects measured online: Large-scale assessment methods in flexible cognitive effects. Behavior Research Methods, 51, 1676–1692. doi:10.3758/s13428-019-01213-5
- Reips, U. D., & Buchanan, T. (2020). Call for Papers:“Web-Based Research in Psychology”.
- Dantlgraber, M., Kuhlmann, T., & Reips, U. D. (2019). Conceptual fluency in inductive reasoning. PloS ONE, 14, e0225050. doi: 10.1371/journal.pone.0225050
- Kaufmann, E., & Budescu, D. V. (2020). Do teachers consider advice? On the acceptance of computerized expert models. Journal of Educational Measurement, 57(2), 311-342.
- Petras, N., Dantlgraber, M., & Reips, U. D. Beyond one test: An R-Package for Item Pool Visualization.
- Dantlgraber, M., Stieger, S., & Reips, U.-D. (2019). Introducing Item Pool Visualization (IPV): A method for investigation of concepts in self-reports and psychometric tests. Methodological Innovations, 12(3), 1-10. https://doi.org/10.1177/2059799119884283.
