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Susanne Frick
Susanne Frick
Adresse e-mail validée de statistik.tu-dortmund.de
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A many-analysts approach to the relation between religiosity and well-being
S Hoogeveen, A Sarafoglou, B Aczel, Y Aditya, AJ Alayan, PJ Allen, ...
Religion, Brain & Behavior 13 (3), 237-283, 2023
572023
Comparing the validity of trait estimates from the multidimensional forced-choice format and the rating scale format.
E Wetzel, S Frick
Psychological Assessment 32 (3), 239, 2020
502020
Does multidimensional forced-choice prevent faking? Comparing the susceptibility of the multidimensional forced-choice format and the rating scale format to faking.
E Wetzel, S Frick, A Brown
Psychological Assessment 33 (2), 156, 2021
492021
Taking the test taker’s perspective: Response process and test motivation in multidimensional forced-choice versus rating scale instruments
R Sass, S Frick, UD Reips, E Wetzel
Assessment 27 (3), 572-584, 2020
372020
The multidimensional forced-choice format as an alternative for rating scales
E Wetzel, S Frick, S Greiff
European Journal of Psychological Assessment, 2020
202020
Investigating the normativity of trait estimates from multidimensional forced-choice data
S Frick, A Brown, E Wetzel
Multivariate Behavioral Research 58 (1), 1-29, 2023
172023
Modeling faking in the multidimensional forced-choice format: The faking mixture model
S Frick
psychometrika 87 (2), 773-794, 2022
122022
Measurement issues in the many analysts religion project
MR Schreiner, B Mercier, S Frick, D Wiwad, MC Schmitt, JM Kelly, ...
Religion, Brain & Behavior 13 (3), 339-341, 2023
42023
Development and validation of a test instrument measuring the understanding of pension systems
R Baginski, C Aprea, S Frick, S Übelmesser, J Schütz
22023
Detecting Careless Responding in Multidimensional Forced-Choice Questionnaires
R Kupffer, S Frick, E Wetzel
Educational and Psychological Measurement, 00131644231222420, 2024
12024
Estimating and Using Block Information in the Thurstonian IRT Model
S Frick
psychometrika 88 (4), 1556-1589, 2023
12023
Scalable Learning of Item Response Theory Models
S Frick, A Krivosija, A Munteanu
International Conference on Artificial Intelligence and Statistics, 1234-1242, 2024
2024
Beta-Binomial Meta-Analysis of Individual Differences Based on Sample Means and Standard Deviations: Studying Reliability of Sum Scores of Binary Items
S Frick, P Doebler, A Doebler
2024
The potential of machine learning methods in psychological assessment and test construction.
S Bißantz, S Frick, F Melinscak, D Iliescu, E Wetzel
Hogrefe Publishing, 2024
2024
Development and validation of a test measuring the understanding of pension systems
C Aprea, R Baginski, S Frick, J Schütz, S Übelmesser
2024
Beta-Binomial Meta-Analysis of Individual Differences Based on Sample Means and Standard Deviations: Studying Reliability of Sum Scores of Binary Items
P Doebler, S Frick, A Doebler
2024
Item response theory for the analysis and construction of multidimensional forced-choice tests
S Frick
PQDT-Global, 2021
2021
Wetzel, Frick, & Brown (2020) _Does multidimensional forced-choice prevent faking?
E Wetzel, S Frick, A Brown
PsyArXiv, 2020
2020
A simulation on the normativity of trait estimates in the multidimensional forced-choice format II
S Frick, E Wetzel, A Brown
OSF, 2019
2019
Preregistration_SDR_study
E Wetzel, S Frick
OSF, 2017
2017
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