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The British Journal of Mathematical and Statistical Psychology|June 7, 2022
Score-based measurement invariance checks for Bayesian maximum-a-posteriori estimates in item response theoryRudolf Debelak, Samuel Pawel, Carolin Strobl, et al.
The British Journal of Mathematical and Statistical Psychology|July 6, 2021
Bifurcation in the evolution of certainty in a small decision-making group by consensusAlexandra Gheondea-Eladi, Aurelian Gheondea
The British Journal of Mathematical and Statistical Psychology|November 25, 2003
The structure of self-reported emotional experiences: a mixed-effects Poisson factor modelUlf Böckenholt, Wagner A Kamakura, Michel Wedel
The British Journal of Mathematical and Statistical Psychology|November 25, 2003
Weak measurement invariance with respect to unmeasured variables: an implication of strict factorial invarianceGitta H Lubke, Conor V Dolan, Henk Kelderman, et al.
The British Journal of Mathematical and Statistical Psychology|April 30, 2019
Comparison of classical and modern methods for measuring and correcting for acquiescenceRicardo Primi, Daniel Santos, Filip De Fruyt, et al.
The British Journal of Mathematical and Statistical Psychology|May 6, 2017
A comparison of item response models for accuracy and speed of item responses with applications to adaptive testingPeter W van Rijn, Usama S Ali
The British Journal of Mathematical and Statistical Psychology|September 13, 2016
Response moderation models for conditional dependence between response time and response accuracyMaria Bolsinova, Jesper Tijmstra, Dylan Molenaar
The British Journal of Mathematical and Statistical Psychology|April 25, 2018
A diagnostic tree model for polytomous responses with multiple strategiesWenchao Ma
The British Journal of Mathematical and Statistical Psychology|June 18, 2019
Back to the basics: Rethinking partial correlation network methodologyDonald R Williams, Philippe Rast
The British Journal of Mathematical and Statistical Psychology|May 4, 2019
Clustering preference data in the presence of response-style biasMariko Takagishi, Michel van de Velden, Hiroshi Yadohisa
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