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 2022-06-01 to 2026-06-01.)
ArticleCitations
Correcting for measurement error under meta‐analysis of z‐transformed correlations43
Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models35
Correction to “A new Q‐matrix validation method based on signal detection theory”25
Estimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filter19
A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy15
Investigating heterogeneity in IRTree models for multiple response processes with score‐based partitioning14
Latent Poisson count models for action count data from technology‐enhanced assessments14
Blending substantive and methodological expertise into statistical models: Longitudinal model development13
Determining the number of attributes in the GDINA model12
Advances in meta‐analysis: A unifying modelling framework with measurement error correction12
11
Generalized extreme value IRT models11
Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach10
The role of reliability in experiments10
Penalization approaches in the conditional maximum likelihood and Rasch modelling context9
Bayesian hierarchical response time modelling—A tutorial9
Inferences of associated latent variables by the observable test scores8
Shedding some light on the relationship between measurement error and statistical power in multilevel models applied to intensive longitudinal designs8
A general dynamic learning model framework for cognitive diagnosis8
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratings8
Multilevel SEM with random slopes in discrete data using the pairwise maximum likelihood6
Detecting association changes in intensive longitudinal data in real time: An exponentially weighted moving average procedure6
An extension of the basic local independence model to multiple observed classifications6
Statistical inference for agreement between multiple raters on a binary scale6
Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data6
A novel nonvisual procedure for screening for nonstationarity in time series as obtained from intensive longitudinal designs6
6
A general diagnostic modelling framework for forced‐choice assessments6
Issue Information5
Effect sizes in ANCOVA and difference‐in‐differences designs5
A comparison of different measures of the proportion of explained variance in multiply imputed data sets5
5
Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two‐way analysis of variance model5
Pairwise stochastic approximation for confirmatory factor analysis of categorical data5
The generalized Hausman test for detecting non‐normality in the latent variable distribution of the two‐parameter IRT model5
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
Issue Information3
Corrigendum3
3
Modelling multiple problem‐solving strategies and strategy shift in cognitive diagnosis for growth3
A model‐based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients3
LLM‐based prior elicitation for Bayesian graphical modeling3
Using cross‐validation methods to select time series models: Promises and pitfalls3
Identifiability analysis of the fixed‐effects one‐parameter logistic positive exponent model3
Testing the validity of instrumental variables in just‐identified linear non‐Gaussian models3
Frequency‐adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction3
3
3
Regularized Bayesian algorithms for Q ‐matrix inference based on saturated cognitive diagnosis modelling3
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