British Journal of Mathematical & Statistical Psychology

Papers
(The TQCC of British Journal of Mathematical & Statistical Psychology is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Correction to “A new Q‐matrix validation method based on signal detection theory”33
The biasing effects of selection and attrition on estimating the mean28
The Fisher information function and scoring in binary ideal point item response models: a cautionary tale15
Issue Information14
Distance‐based logistic model for cross‐classified categorical data13
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Approximately counting and sampling knowledge states10
Empirical indistinguishability: From the knowledge structure to the skills10
MCMC stopping rules in latent variable modelling7
A unified EM framework for estimation and inference of normal ogive item response models7
Treatment effects on count outcomes with non‐normal covariates6
CD‐polytomous knowledge spaces and corresponding polytomous surmise systems6
Two efficient selection methods for high‐dimensional CD‐CAT utilizing max‐marginals factor from MAP query and ensemble learning approach5
An item response tree model with not‐all‐distinct end nodes for non‐response modelling5
Heterogeneous heterogeneity by default: Testing categorical moderators in mixed‐effects meta‐analysis5
Issue Information5
The evidence interval and the Bayesian evidence value: On a unified theory for Bayesian hypothesis testing and interval estimation5
Assessment of fit of the time‐varying dynamic partial credit model using the posterior predictive model checking method4
Frequency‐adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction4
Correcting for measurement error under meta‐analysis of z‐transformed correlations4
A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy4
Statistical foundations of person parameter estimation in the Thurstonian IRT model for forced‐choice and pairwise comparison designs4
Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models4
Estimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filter4
Subtask analysis of process data through a predictive model4
Corrigendum3
Which method delivers greater signal‐to‐noise ratio: Structural equation modelling or regression analysis with weighted composites?3
Fusion of score‐differencing and response similarity statistics for detecting examinees with item preknowledge3
Ordinal state‐trait regression for intensive longitudinal data3
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Optimizing calibration designs with uncertainty in abilities3
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Decomposition of WAIC for assessing the information gain with application to educational testing3
Variational Bayes inference for hidden Markov diagnostic classification models3
Complete Q‐matrices in conjunctive models on general attribute structures3
Understanding linear interaction analysis with causal graphs3
Refinement: Measuring informativeness of ratings in the absence of a gold standard3
Flexible Bayesian modelling in dichotomous item response theory using mixtures of skewed item curves3
A cluster differences unfolding method for large datasets of preference ratings on an interval scale: Minimizing the mean squared centred residuals3
A Gibbs‐INLA algorithm for multidimensional graded response model analysis2
Editorial acknowledgement2
Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling2
A new person‐fit method based on machine learning in CDM in education2
On generating plausible values for multilevel modelling with large‐scale‐assessment data2
The effective sample size in Bayesian information criterion for level‐specific fixed and random‐effect selection in a two‐level nested model2
Extending exploratory diagnostic classification models: Inferring the effect of covariates2
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