Modeling item-level heterogeneous treatment effects: A tutorial with the glmer function from the lme4 package in R
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology
Link
https://link.springer.com/content/pdf/10.3758/s13428-023-02245-8.pdf
Reference32 articles.
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2. Ahmed, I., Bertling, M., Zhang, L., Ho, A. D., Loyalka, P., Xue, H., & Domingue, B. W. (2023). Heterogeneity of item-treatment interactions masks complexity and generalizability in randomized controlled trials. Edworkingpapers.com. https://doi.org/10.26300/1NW4-NA96
3. Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting Linear Mixed-Effects Models Usinglme4. Journal of Statistical Software, 67(1). https://doi.org/10.18637/jss.v067.i01
4. Briggs, D. C. (2008). Using Explanatory Item Response Models to Analyze Group Differences in Science Achievement. Applied Measurement in Education, 21(2), 89–118. https://doi.org/10.1080/08957340801926086
5. Bulut, O., Gorgun, G., & Yildirim-Erbasli, S. N. (2021). Estimating Explanatory Extensions of Dichotomous and Polytomous Rasch Models: The eirm Package in R. Psych, 3(3), 308–321. https://doi.org/10.3390/psych3030023
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