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 2022-08-01 to 2026-08-01.)

Article	Citations
Correcting for measurement error under meta‐analysis of z‐transformed correlations	40
Correction to “A new Q‐matrix validation method based on signal detection theory”	26
A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy	21
Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models	17
Estimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filter	15
Latent Poisson count models for action count data from technology‐enhanced assessments	14
Investigating heterogeneity in IRTree models for multiple response processes with score‐based partitioning	14
Blending substantive and methodological expertise into statistical models: Longitudinal model development	13
Advances in meta‐analysis: A unifying modelling framework with measurement error correction	12
	12
Generalized extreme value IRT models	11
Bayesian hierarchical response time modelling—A tutorial	10
The role of reliability in experiments	10
Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach	9
Determining the number of attributes in the GDINA model	9
Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data	9
Penalization approaches in the conditional maximum likelihood and Rasch modelling context	8
Statistical inference for agreement between multiple raters on a binary scale	7
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratings	7
A general dynamic learning model framework for cognitive diagnosis	7
Inferences of associated latent variables by the observable test scores	7
	6
A novel nonvisual procedure for screening for nonstationarity in time series as obtained from intensive longitudinal designs	6
A general diagnostic modelling framework for forced‐choice assessments	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
An extension of the basic local independence model to multiple observed classifications	6
Detecting association changes in intensive longitudinal data in real time: An exponentially weighted moving average procedure	6
Mixture multigroup structural equation modelling for ordinal data	6
The generalized Hausman test for detecting non‐normality in the latent variable distribution of the two‐parameter IRT model	5
	5
Effect sizes in ANCOVA and difference‐in‐differences designs	5
Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two‐way analysis of variance model	5
Assessment of generalised Bayesian structural equation models for continuous and binary data	4
Issue Information	4
Joint analysis of dispersed count‐time data using a bivariate latent factor model	4
Testing the validity of instrumental variables in just‐identified linear non‐Gaussian models	3
Issue Information	3
	3
	3
Penalized optimal scaling for ordinal variables with an application to international classification of functioning core sets	3
Constructing tests for skill assessment with competence‐based test development	3
Pairwise stochastic approximation for confirmatory factor analysis of categorical data	3
LLM‐based prior elicitation for Bayesian graphical modeling	3
A comparison of different measures of the proportion of explained variance in multiply imputed data sets	3
	3
Effect sizes for experimental research	3
Using cross‐validation methods to select time series models: Promises and pitfalls	3
Corrigendum	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
Regularized Bayesian algorithms for Q ‐matrix inference based on saturated cognitive diagnosis modelling	3
Identifiability analysis of the fixed‐effects one‐parameter logistic positive exponent model	3
Bayesian model averaging of (a)symmetric item response models in small samples	2
A new goodness‐of‐fit measure for probit models: Surrogate R ²	2
Handling missing data in variational autoencoder based item response theory	2
Mixtures of t$$ t $$ factor analysers with censored responses and external covariates: An application to educational data from Peru	2
Incorporating calibration errors in oral reading fluency scoring	2
Assessment of fit of the time‐varying dynamic partial credit model using the posterior predictive model checking method	2
A path signature perspective of process data feature extraction	2
A Bayes factor framework for unified parameter estimation and hypothesis testing	2
Issue Information	2
An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models	2
Two efficient selection methods for high‐dimensional CD‐CAT utilizing max‐marginals factor from MAP	2
Revisiting reliability and measurement precision: Towards a unified perspective	2
Refining effect size measures and classification for differential item functioning: Toward unified guidelines across methods	2
Empirical indistinguishability: From the knowledge structure to the skills	2
	2
A sequential Bayesian changepoint detection procedure for aberrant behaviours in computerized testing	2
Proficiency order invariance of MLE, MAP, EAP, and WLE in item response theory	2
Modelling motion energy in psychotherapy: A dynamical systems approach	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 tutorial on Bayesian model averaging for exponential random graph models	2
Subtask analysis of process data through a predictive model	2
A dual process item response theory model for polytomous multidimensional forced‐choice items	1

Average treatment effects on binary outcomes with stochastic covariates	1
Issue Information	1
A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment data	1
A Gibbs‐INLA algorithm for multidimensional graded response model analysis	1
Compromised item detection: A Bayesian change‐point perspective	1
	1
Pairwise likelihood estimation and limited‐information goodness‐of‐fit test statistics for binary factor analysis models under complex survey sampling	1
A sparse latent class model incorporating response times	1
A multiple‐choice SDT model for cognitive diagnosis models	1
Extending reliability to intensive longitudinal data with the Kalman filter	1
To vary or not to vary: A flexible empirical Bayes factor for testing variance components	1
Distinguishing cause from effect in psychological research: An independence‐based approach under linear non‐Gaussian models	1
Review of cognitive diagnostic models ( CDMs ): Recent methodological advancements for addressing practical challenges	1
Discriminability around polytomous knowledge structures and polytomous functions	1
Editorial acknowledgement	1
Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality	1
Mixture‐modelling‐based Bayesian MH‐RM algorithm for the multidimensional 4PLM	1
Using multilabel classification neural network to detect intersectional DIF with small sample sizes	1
A new Q‐matrix validation method based on signal detection theory	1
Approximating multidimensionality with asymmetric unidimensional IRT models	1
Premature conclusions about the signal‐to‐noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)	1
Reinforcement learning‐based adaptive learning: Rewards improvement considering learning duration	1
Power priors for latent variable mediation models under small sample sizes	1
Understanding linear interaction analysis with causal graphs	1
From tetrachoric to kappa: How to assess reliability on binary scales	1
Three new corrections for standardized person‐fit statistics for tests with polytomous items	1
Assessing quality of selection procedures: Lower bound of false positive rate as a function of inter‐rater reliability	1
K‐Plus anticlustering: An improved k ‐means criterion for maximizing between‐group similarity	1
The biasing effects of selection and attrition on estimating the mean	1
Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters	1
Issue Information	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
Are alternative variables in a set differently associated with a target variable? Statistical tests and practical advice for dealing with dependent correlations	1
Efficient and accurate variational inference for multilevel threshold autoregressive models in intensive longitudinal data	1
Data fusion by T3–PCA: A global model for the simultaneous analysis of coupled three‐way and two‐way real‐valued data	1
On a general theoretical framework of reliability	1
A cognitive diagnosis model for latent classification of bounded continuous variables	1
Assessment of fit of item response theory models: A critical review of the status quo and some future directions	1
A ranking forced choice diagnostic classification model for psychological assessment using forced choice questionnaires	1