British Journal of Mathematical & Statistical Psychology

Papers
(The TQCC of British Journal of Mathematical & Statistical Psychology is 3. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Estimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filter36
A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy21
Distance‐based logistic model for cross‐classified categorical data15
Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models13
Correcting for measurement error under meta‐analysis of z‐transformed correlations12
Bayesian hierarchical response time modelling—A tutorial11
Correction to “A new Q‐matrix validation method based on signal detection theory”11
Determining the number of attributes in the GDINA model10
Investigating heterogeneity in IRTree models for multiple response processes with score‐based partitioning10
Advances in meta‐analysis: A unifying modelling framework with measurement error correction9
8
A new person‐fit method based on machine learning in CDM in education8
Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach7
A general dynamic learning model framework for cognitive diagnosis7
Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data6
Statistical inference for agreement between multiple raters on a binary scale6
An extension of the basic local independence model to multiple observed classifications6
A novel nonvisual procedure for screening for nonstationarity in time series as obtained from intensive longitudinal designs6
Inferences of associated latent variables by the observable test scores6
A general diagnostic modelling framework for forced‐choice assessments6
Latent variable selection in multidimensional item response theory models using the expectation model selection algorithm6
Penalization approaches in the conditional maximum likelihood and Rasch modelling context6
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratings6
Multilevel SEM with random slopes in discrete data using the pairwise maximum likelihood6
5
Effect sizes in ANCOVA and difference‐in‐differences designs5
5
Pairwise stochastic approximation for confirmatory factor analysis of categorical data4
A comparison of different measures of the proportion of explained variance in multiply imputed data sets4
Corrigendum4
The generalized Hausman test for detecting non‐normality in the latent variable distribution of the two‐parameter IRT model4
Theoretical considerations when simulating data from the g ‐and‐ h family of distributions4
4
Issue Information4
Joint analysis of dispersed count‐time data using a bivariate latent factor model4
Assessment of generalised Bayesian structural equation models for continuous and binary data4
Frequency‐adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction4
Issue Information4
A model‐based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients3
Effect sizes for experimental research3
Modelling multiple problem‐solving strategies and strategy shift in cognitive diagnosis for growth3
Complete Q ‐matrices in conjunctive models on general attribute structures3
3
Testing the validity of instrumental variables in just‐identified linear non‐Gaussian models3
Using cross‐validation methods to select time series models: Promises and pitfalls3
3
0.037767887115479