OOIR: Observatory of International Research

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 2022-05-01 to 2026-05-01.)

Article	Citations
Estimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filter	42
Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models	33
Correction to “A new Q‐matrix validation method based on signal detection theory”	24
Correcting for measurement error under meta‐analysis of z‐transformed correlations	18
A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy	15
Latent Poisson count models for action count data from technology‐enhanced assessments	13
Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach	12
Generalized extreme value IRT models	12
Investigating heterogeneity in IRTree models for multiple response processes with score‐based partitioning	12
Determining the number of attributes in the GDINA model	11
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Blending substantive and methodological expertise into statistical models: Longitudinal model development	10
A general dynamic learning model framework for cognitive diagnosis	9
Advances in meta‐analysis: A unifying modelling framework with measurement error correction	9
The role of reliability in experiments	9
Bayesian hierarchical response time modelling—A tutorial	9
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratings	8
Inferences of associated latent variables by the observable test scores	8
Statistical inference for agreement between multiple raters on a binary scale	8
Penalization approaches in the conditional maximum likelihood and Rasch modelling context	7
An extension of the basic local independence model to multiple observed classifications	6
Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data	6
Multilevel SEM with random slopes in discrete data using the pairwise maximum likelihood	6
Shedding some light on the relationship between measurement error and statistical power in multilevel models applied to intensive longitudinal designs	6
Detecting association changes in intensive longitudinal data in real time: An exponentially weighted moving average procedure	6

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A novel nonvisual procedure for screening for nonstationarity in time series as obtained from intensive longitudinal designs	6
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Theoretical considerations when simulating data from the g ‐and‐ h family of distributions	5
A general diagnostic modelling framework for forced‐choice assessments	5
Effect sizes in ANCOVA and difference‐in‐differences designs	5
Issue Information	5
The generalized Hausman test for detecting non‐normality in the latent variable distribution of the two‐parameter IRT model	5
Pairwise stochastic approximation for confirmatory factor analysis of categorical data	5
Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two‐way analysis of variance model	5
A comparison of different measures of the proportion of explained variance in multiply imputed data sets	4
Assessment of generalised Bayesian structural equation models for continuous and binary data	4
LLM‐based prior elicitation for Bayesian graphical modeling	3
Joint analysis of dispersed count‐time data using a bivariate latent factor model	3
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Regularized Bayesian algorithms for Q ‐matrix inference based on saturated cognitive diagnosis modelling	3
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Corrigendum	3
Using cross‐validation methods to select time series models: Promises and pitfalls	3
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Testing the validity of instrumental variables in just‐identified linear non‐Gaussian models	3
Issue Information	3
Frequency‐adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction	3
A model‐based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients	3
Identifiability analysis of the fixed‐effects one‐parameter logistic positive exponent model	3