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Experimental Psychology|April 28, 2016
A Strong Validation of the Crosswise Model Using Experimentally-Induced Cheating BehaviorAdrian Hoffmann, Birk Diedenhofen, Bruno Verschuere, et al.Plos One|April 4, 2015
cocor: a comprehensive solution for the statistical comparison of correlationsBirk Diedenhofen, Jochen MuschBehavior Research Methods|August 31, 2016
PageFocus: Using paradata to detect and prevent cheating on online achievement testsBirk Diedenhofen, Jochen MuschThe British Journal of Social Psychology|May 23, 2015
Looking back on the London Olympics: Independent outcome and hindsight effects in decision evaluationHartmut Blank, Birk Diedenhofen, Jochen MuschMemory (Hove, England)|April 21, 2018
Eyewitness identification in simultaneous and sequential lineups: an investigation of position effects using receiver operating characteristicsJulia Meisters, Birk Diedenhofen, Jochen MuschBehavior Research Methods|October 12, 2012
Seriousness checks are useful to improve data validity in online researchFrederik Aust, Birk Diedenhofen, Sebastian Ullrich, et al.Behavior Research Methods|July 18, 2015
Assessing the validity of two indirect questioning techniques: A Stochastic Lie Detector versus the Crosswise ModelAdrian Hoffmann, Jochen MuschPlos One|July 1, 2020
Can detailed instructions and comprehension checks increase the validity of crosswise model estimates?Julia Meisters, Adrian Hoffmann, Jochen MuschBehavior Research Methods|April 22, 2022
More than random responding: Empirical evidence for the validity of the (Extended) Crosswise ModelJulia Meisters, Adrian Hoffmann, Jochen MuschPlos One|December 7, 2020
Controlling social desirability bias: An experimental investigation of the extended crosswise modelJulia Meisters, Adrian Hoffmann, Jochen MuschPageof 17