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The British Journal of Mathematical and Statistical Psychology|December 22, 2020
Accounting for individual differences in speed in the discretized signed residual time modelJesper Tijmstra, Maria Bolsinova
The British Journal of Mathematical and Statistical Psychology|October 16, 2020
Causal graphical views of fixed effects and random effects modelsYongnam Kim, Peter M Steiner
The British Journal of Mathematical and Statistical Psychology|October 13, 2020
Maximum information per time unit designs for continuous online item calibrationYinhong He, Ping Chen, Yong Li
The British Journal of Mathematical and Statistical Psychology|June 22, 2022
An explanatory mixture IRT model for careless and insufficient effort responding in self-report measuresEsther Ulitzsch, Seyma Nur Yildirim-Erbasli, Guher Gorgun, et al.
The British Journal of Mathematical and Statistical Psychology|June 22, 2017
Improving precision of ability estimation: Getting more from response timesMaria Bolsinova, Jesper Tijmstra
The British Journal of Mathematical and Statistical Psychology|June 21, 2017
Standard errors and confidence intervals for correlations corrected for indirect range restriction: A simulation study comparing analytic and bootstrap methodsTamar Kennet-Cohen, Dvir Kleper, Elliot Turvall
The British Journal of Mathematical and Statistical Psychology|March 1, 2022
Reliability coefficients for multiple group item response theory modelsBjörn Andersson, Hao Luo, Kseniia Marcq
The British Journal of Mathematical and Statistical Psychology|September 5, 2023
Using item scores and response times in person-fit assessmentKylie Gorney, Sandip Sinharay, Xiang Liu
The British Journal of Mathematical and Statistical Psychology|October 16, 2023
A correlated traits correlated (methods - 1) multitrait-multimethod model for augmented round-robin dataDavid Jendryczko, Fridtjof W Nussbeck
The British Journal of Mathematical and Statistical Psychology|September 20, 2023
A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment dataTianyu Pan, Weining Shen, Clintin P Davis-Stober, et al.
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