Martin Papenberg
Martin Papenberg
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Using anticlustering to partition data sets into equivalent parts
M Papenberg, GW Klau
Psychological Methods, 2021
Of Small Beauties and Large Beasts: The Quality of Distractors on Multiple-Choice Tests Is More Important Than Their Quantity
M Papenberg, J Musch
Applied Measurement in Education 30 (4), 273-286, 2017
Sequentially Presented Response Options Prevent the Use of Testwiseness Cues in Multiple-Choice Testing
M Papenberg, S Willing, J Musch
Psychological Test and Assessment Modeling 59 (2), 245, 2017
An Experimental Validation of Sequential Multiple-Choice Tests
M Papenberg, B Diedenhofen, J Musch
The Journal of Experimental Education 89 (2), 402-421, 2021
Reassessment of innovative methods to determine the number of factors: A simulation-based comparison of exploratory graph analysis and next eigenvalue sufficiency test.
N Brandenburg, M Papenberg
Psychological Methods, 2022
minDiff: Minimize Differences Between Groups (R package version 0.01-3)[Computer software]
M Papenberg
On how testwiseness and acceptance reluctance influence the validity of sequential knowledge tests
M Papenberg
Dissertation, Düsseldorf, Heinrich-Heine-Universität, 2018, 2018
K-Plus anticlustering: An improved k-means criterion for maximizing between-group similarity
M Papenberg
British Journal of Mathematical and Statistical Psychology, 2023
Package ‘anticlust’
M Papenberg, M Michalke, JV Tkotz, GW Klau
Testtheorie mit R
M Papenberg
Creating similar item sets using integer linear programming with an application to questionnaire design in experimental psychology
M Papenberg
Wie viele Antwortoptionen sollten Multiple-Choice-Items haben?
M Papenberg, J Musch
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