IRTrees for skipping items in PIRLS
Author:
Funder
H2020 Marie Skłodowska-Curie Actions
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11092-024-09439-4.pdf
Reference25 articles.
1. Blacksmith, N., Yang, Y., Behrend, T. S., & Ruark, G. A. (2019). Assessing the validity of inferences from scores on the cognitive reflection test. Journal of Behavioral Decision Making, 32(5), 599–612. https://doi.org/10.1002/bdm.2133
2. Chalmers, R. P. (2012). Mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1-2https://doi.org/10.18637/jss.v048.i06
3. De Boeck, P., & Partchev, I. (2012). IRTrees: Tree-based item response models of the GLMM family. Journal of Statistical Software, 48(1), 1-28, https://doi.org/10.18637/jss.v048.c01
4. Debeer, D., Janssen, R., & De Boeck, P. (2017). Modeling skipped and not-reached items using IRTrees. Journal of Educational Measurement, 54(3), 333–363. https://doi.org/10.1111/jedm.12147
5. Glas, C. A. W., & Pimentel, J. L. (2008). Modeling nonignorable missing data in speeded tests. Educational and Psychological Measurement, 68(6), 907–922. https://doi.org/10.1177/0013164408315262
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