フォロー
Felix Henninger
Felix Henninger
Department of Statistics, Ludwig Maximilian University of Munich
確認したメール アドレス: stat.uni-muenchen.de - ホームページ
タイトル
引用先
引用先
Estimating the reproducibility of psychological science
Open Science Collaboration
Science 349 (6251), aac4716, 2015
97482015
lab. js: A free, open, online study builder
F Henninger, Y Shevchenko, UK Mertens, PJ Kieslich, BE Hilbig
Behavior Research Methods, 1-18, 2021
307*2021
Mousetrap: An integrated, open-source mouse-tracking package
PJ Kieslich, F Henninger
Behavior research methods 49, 1652-1667, 2017
157*2017
Mouse-tracking: A practical guide to implementation and analysis 1
PJ Kieslich, F Henninger, DU Wulff, JMB Haslbeck, ...
A handbook of process tracing methods, 111-130, 2019
1302019
The reversed description-experience gap: Disentangling sources of presentation format effects in risky choice.
A Glöckner, BE Hilbig, F Henninger, S Fiedler
Journal of Experimental Psychology: General 145 (4), 486, 2016
982016
Mouse-tracking: Detecting types in movement trajectories
DU Wulff, JMB Haslbeck, PJ Kieslich, F Henninger, ...
New York2ndRoutledge, 2019
522019
Lead us (not) into temptation: Testing the motivational mechanisms linking honesty–humility to cooperation
BE Hilbig, PJ Kieslich, F Henninger, I Thielmann, I Zettler
European journal of personality 32 (2), 116-127, 2018
482018
The two faces of cooperation: On the unique role of HEXACO agreeableness for forgiveness versus retaliation
BE Hilbig, I Thielmann, SA Klein, F Henninger
Journal of Research in Personality 64, 69-78, 2016
432016
Movement tracking of cognitive processes: A tutorial using mousetrap
DU Wulff, PJ Kieslich, F Henninger, JMB Haslbeck, ...
35*2021
Learning from mouse movements: Improving questionnaires and respondents' user experience through passive data collection
R Horwitz, S Brockhaus, F Henninger, PJ Kieslich, M Schierholz, ...
Advances in questionnaire design, development, evaluation and testing, 403-425, 2020
182020
Predicting question difficulty in web surveys: A machine learning approach based on mouse movement features
A Fernández-Fontelo, PJ Kieslich, F Henninger, F Kreuter, S Greven
Social Science Computer Review 41 (1), 141-162, 2023
162023
Psynteract: A flexible, cross-platform, open framework for interactive experiments
F Henninger, PJ Kieslich, BE Hilbig
Behavior Research Methods, 1-10, 2016
112016
Privacy attitudes toward mouse-tracking paradata collection
F Henninger, PJ Kieslich, A Fernández-Fontelo, S Greven, F Kreuter
SocArXiv, 2022
72022
Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features
A Fernández-Fontelo, PJ Kieslich, F Henninger, F Kreuter, S Greven
arXiv preprint arXiv:2011.06916, 2020
32020
Canonical workflow for experimental research
D Betz, C Biniossek, C Blanchi, F Henninger, T Lauer, P Wieder, ...
Data Intelligence 4 (2), 155-172, 2022
22022
Package “mousetrap.”
P Kieslich, D Wulff, F Henninger, J Haslbeck, S Brockhaus
The Comprehensive R Archive Network. https://cran. r-project. org/web …, 2019
22019
Revisiting the Open Sampling format: Improving risky choices through a novel graphical representation
KE Tiede, F Henninger, PJ Kieslich
Psychonomic Bulletin & Review, 1-12, 2022
12022
Mouse-tracking: Detecting Types in Movement Trajectories
DU Wulff, J Haslbeck, PJ Kieslich, F Henninger, M Schulte-Mecklenbeck
PsyArXiv, 2018
2018
Package ‘PCSinR’
F Henninger, MF Henninger
2016
A new model for multivariate functional data classification with application to the prediction of difficulty in web surveys using mouse movement trajectories
A Fernández-Fontelo, F Henninger, PJ Kieslich, F Kreuter234, S Greven
35th International Workshop on Statistical Modelling, 73, 0
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論文 1–20