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 2021-11-01 to 2025-11-01.)

Article	Citations
Estimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filter	36
A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy	21
Distance‐based logistic model for cross‐classified categorical data	15
Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models	13
Correcting for measurement error under meta‐analysis of z‐transformed correlations	12
Bayesian hierarchical response time modelling—A tutorial	11
Correction to “A new Q‐matrix validation method based on signal detection theory”	11
Determining the number of attributes in the GDINA model	10
Investigating heterogeneity in IRTree models for multiple response processes with score‐based partitioning	10
Advances in meta‐analysis: A unifying modelling framework with measurement error correction	9
	8
A new person‐fit method based on machine learning in CDM in education	8
Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach	7
A general dynamic learning model framework for cognitive diagnosis	7
Penalization approaches in the conditional maximum likelihood and Rasch modelling context	6
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratings	6
Multilevel SEM with random slopes in discrete data using the pairwise maximum likelihood	6
Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data	6
Statistical inference for agreement between multiple raters on a binary scale	6
An extension of the basic local independence model to multiple observed classifications	6
A novel nonvisual procedure for screening for nonstationarity in time series as obtained from intensive longitudinal designs	6
Inferences of associated latent variables by the observable test scores	6
A general diagnostic modelling framework for forced‐choice assessments	6
Latent variable selection in multidimensional item response theory models using the expectation model selection algorithm	6
	5

	5
Effect sizes in ANCOVA and difference‐in‐differences designs	5
Joint analysis of dispersed count‐time data using a bivariate latent factor model	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
Pairwise stochastic approximation for confirmatory factor analysis of categorical data	4
A comparison of different measures of the proportion of explained variance in multiply imputed data sets	4
Corrigendum	4
The generalized Hausman test for detecting non‐normality in the latent variable distribution of the two‐parameter IRT model	4
Theoretical considerations when simulating data from the g ‐and‐ h family of distributions	4
	4
Issue Information	4
A model‐based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients	3
Effect sizes for experimental research	3
Modelling multiple problem‐solving strategies and strategy shift in cognitive diagnosis for growth	3
Complete Q ‐matrices in conjunctive models on general attribute structures	3
	3
Testing the validity of instrumental variables in just‐identified linear non‐Gaussian models	3
Using cross‐validation methods to select time series models: Promises and pitfalls	3
	3
Regularized Bayesian algorithms for Q ‐matrix inference based on saturated cognitive diagnosis modelling	2
Handling missing data in variational autoencoder based item response theory	2
Modelling motion energy in psychotherapy: A dynamical systems approach	2
Data‐driven Q‐matrix learning based on Boolean matrix factorization in cognitive diagnostic assessment	2
A sequential Bayesian changepoint detection procedure for aberrant behaviours in computerized testing	2
Identifiability analysis of the fixed‐effects one‐parameter logistic positive exponent model	2
Constructing tests for skill assessment with competence‐based test development	2
	2
A Bayes factor framework for unified parameter estimation and hypothesis testing	2
Investigating dynamics in attentive and inattentive responding together with their contextual correlates using a novel mixture IRT model for intensive longitudinal data	2
Issue Information	2
Penalized optimal scaling for ordinal variables with an application to international classification of functioning core sets	2
Issue Information	2
Score‐based measurement invariance checks for Bayesian maximum‐a‐posteriori estimates in item response theory	2
A new goodness‐of‐fit measure for probit models: Surrogate R ²	2
Three new corrections for standardized person‐fit statistics for tests with polytomous items	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
Reinforcement learning‐based adaptive learning: Rewards improvement considering learning duration	1
A sparse latent class model incorporating response times	1
Two efficient selection methods for high‐dimensional CD‐CAT utilizing max‐marginals factor from MAP	1
A tutorial on Bayesian model averaging for exponential random graph models	1
Incorporating calibration errors in oral reading fluency scoring	1
Flexible Bayesian modelling in dichotomous item response theory using mixtures of skewed item curves	1
Discriminability around polytomous knowledge structures and polytomous functions	1
Computing the real solutions of Fleishman's equations for simulating non‐normal data	1
A Gibbs‐INLA algorithm for multidimensional graded response model analysis	1
	1
Assessment of fit of item response theory models: A critical review of the status quo and some future directions	1
Subtask analysis of process data through a predictive model	1

Assessment of fit of the time‐varying dynamic partial credit model using the posterior predictive model checking method	1
	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
Tracking a multitude of abilities as they develop	1
A new Q‐matrix validation method based on signal detection theory	1
Remarkable properties for diagnostics and inference of ranking data modelling	1
Distinguishing cause from effect in psychological research: An independence‐based approach under linear non‐Gaussian models	1
Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters	1
CD‐polytomous knowledge spaces and corresponding polytomous surmise systems	1
Empirical indistinguishability: From the knowledge structure to the skills	1
A path signature perspective of process data feature extraction	1
An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models	1
The evidence interval and the Bayesian evidence value: On a unified theory for Bayesian hypothesis testing and interval estimation	1
Editorial acknowledgement	1
A dual process item response theory model for polytomous multidimensional forced‐choice items	1