Martin Papenberg

Papenberg, M., & Klau, G. W. (2020). Using anticlustering to partition data sets into equivalent parts. Psychological Methods. Advance Online Publication. https://doi.org/10.1037/met0000301.

Papenberg, M., Diedenhofen, B., & Musch, J. (2019). An experimental validation of sequential multiple-choice tests. Journal of Experimental Education. Advance Online Publication. https://doi.org/10.1080/00220973.2019.1671299

Papenberg, M., & Musch, J. (2017). Of Small Beauties and Large Beasts: The Quality of Distractors on Multiple-Choice Tests Is More Important Than Their Quantity. Applied Measurement in Education, 30(4), 273–286. https://doi.org/10.1080/08957347.2017.1353987

Papenberg, M., Willing, S., & Musch, J. (2017). Sequentially Presented Response Options Prevent The Use Of Testwiseness Cues In Multiple-Choice Testing. Psychological Test and Assessment Modeling, 59(2), 245–266.

Papenberg, M. (2018). On how testwiseness and acceptance reluctance influence the validity of sequential knowledge tests (Inaugural-Dissertation). Abgerufen von https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=46569.

Papenberg, M. (2018). Testtheorie mit R. Abgerufen von https://osf.io/y4a6k/.

• anticlust: Using anticlustering to create equivalent stimulus sets in R
  
• propint: An R package to compute interactions in proportions
• cower: An R package for power analyses of the comparison of correlations
• prmisc: An R package to print statistical results in R markdown
• bayesEd: An educational R package to visualize Bayes factors
• BART: A JavaScript implementation of the Balloon Analogue Risk Task