OOIR: Observatory of International Research

Papers

(The median citation count of British Journal of Mathematical & Statistical Psychology is 1. 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 2022-01-01 to 2026-01-01.)

Article	Citations
Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models	36
Distance‐based logistic model for cross‐classified categorical data	25
A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy	19
Correction to “A new Q‐matrix validation method based on signal detection theory”	16
Correcting for measurement error under meta‐analysis of z‐transformed correlations	15
Estimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filter	13
Generalized extreme value IRT models	12
Determining the number of attributes in the GDINA model	11
	10
A new person‐fit method based on machine learning in CDM in education	9
Advances in meta‐analysis: A unifying modelling framework with measurement error correction	9
Investigating heterogeneity in IRTree models for multiple response processes with score‐based partitioning	8
Statistical inference for agreement between multiple raters on a binary scale	8
Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach	8
A general dynamic learning model framework for cognitive diagnosis	8
Bayesian hierarchical response time modelling—A tutorial	8
Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data	7
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratings	6
	6
A general diagnostic modelling framework for forced‐choice assessments	6
Inferences of associated latent variables by the observable test scores	6
Multilevel SEM with random slopes in discrete data using the pairwise maximum likelihood	6
Penalization approaches in the conditional maximum likelihood and Rasch modelling context	6
A novel nonvisual procedure for screening for nonstationarity in time series as obtained from intensive longitudinal designs	6
An extension of the basic local independence model to multiple observed classifications	6

Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two‐way analysis of variance model	5
Pairwise stochastic approximation for confirmatory factor analysis of categorical data	5
	5
Joint analysis of dispersed count‐time data using a bivariate latent factor model	5
Theoretical considerations when simulating data from the g ‐and‐ h family of distributions	5
The generalized Hausman test for detecting non‐normality in the latent variable distribution of the two‐parameter IRT model	5
Effect sizes in ANCOVA and difference‐in‐differences designs	5
Issue Information	4
A comparison of different measures of the proportion of explained variance in multiply imputed data sets	4
Corrigendum	4
Assessment of generalised Bayesian structural equation models for continuous and binary data	4
Frequency‐adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction	4
Issue Information	4
Complete Q ‐matrices in conjunctive models on general attribute structures	3
	3
	3
Using cross‐validation methods to select time series models: Promises and pitfalls	3
A model‐based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients	3
Modelling multiple problem‐solving strategies and strategy shift in cognitive diagnosis for growth	3
Regularized Bayesian algorithms for Q ‐matrix inference based on saturated cognitive diagnosis modelling	3
Testing the validity of instrumental variables in just‐identified linear non‐Gaussian models	3
	3
Penalized optimal scaling for ordinal variables with an application to international classification of functioning core sets	3
Score‐based measurement invariance checks for Bayesian maximum‐a‐posteriori estimates in item response theory	2
Incorporating calibration errors in oral reading fluency scoring	2
A Bayes factor framework for unified parameter estimation and hypothesis testing	2
Identifiability analysis of the fixed‐effects one‐parameter logistic positive exponent model	2
Issue Information	2
A new goodness‐of‐fit measure for probit models: Surrogate R ²	2
Data‐driven Q‐matrix learning based on Boolean matrix factorization in cognitive diagnostic assessment	2
Bayesian model averaging of (a)symmetric item response models in small samples	2
Effect sizes for experimental research	2
Handling missing data in variational autoencoder based item response theory	2
Investigating dynamics in attentive and inattentive responding together with their contextual correlates using a novel mixture IRT model for intensive longitudinal data	2
A sequential Bayesian changepoint detection procedure for aberrant behaviours in computerized testing	2
An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models	2
Modelling motion energy in psychotherapy: A dynamical systems approach	2
Issue Information	2
Constructing tests for skill assessment with competence‐based test development	2
Reinforcement learning‐based adaptive learning: Rewards improvement considering learning duration	1
	1
Empirical indistinguishability: From the knowledge structure to the skills	1
A sparse latent class model incorporating response times	1
A new Q‐matrix validation method based on signal detection theory	1
Are alternative variables in a set differently associated with a target variable? Statistical tests and practical advice for dealing with dependent correlations	1
Remarkable properties for diagnostics and inference of ranking data modelling	1
A dual process item response theory model for polytomous multidimensional forced‐choice items	1
	1
CD‐polytomous knowledge spaces and corresponding polytomous surmise systems	1
Assessment of fit of the time‐varying dynamic partial credit model using the posterior predictive model checking method	1

A path signature perspective of process data feature extraction	1
A tutorial on Bayesian model averaging for exponential random graph models	1
Editorial acknowledgement	1
Assessment of fit of item response theory models: A critical review of the status quo and some future directions	1
Tracking a multitude of abilities as they develop	1
Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters	1
Three new corrections for standardized person‐fit statistics for tests with polytomous items	1
Flexible Bayesian modelling in dichotomous item response theory using mixtures of skewed item curves	1
Subtask analysis of process data through a predictive model	1
The evidence interval and the Bayesian evidence value: On a unified theory for Bayesian hypothesis testing and interval estimation	1
Two efficient selection methods for high‐dimensional CD‐CAT utilizing max‐marginals factor from MAP	1
Mixtures of t$$ t $$ factor analysers with censored responses and external covariates: An application to educational data from Peru	1
Efficient and accurate variational inference for multilevel threshold autoregressive models in intensive longitudinal data	1
Discriminability around polytomous knowledge structures and polytomous functions	1
Distinguishing cause from effect in psychological research: An independence‐based approach under linear non‐Gaussian models	1
A Gibbs‐INLA algorithm for multidimensional graded response model analysis	1
Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: “Which method delivers greater signal‐to‐noise ratio: Structural equation modeling or regression analysis with	1