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 2022-05-01 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
	10
Blending substantive and methodological expertise into statistical models: Longitudinal model development	10
The role of reliability in experiments	9
Bayesian hierarchical response time modelling—A tutorial	9
A general dynamic learning model framework for cognitive diagnosis	9
Advances in meta‐analysis: A unifying modelling framework with measurement error correction	9
Inferences of associated latent variables by the observable test scores	8
Statistical inference for agreement between multiple raters on a binary scale	8
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratings	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

	6
A novel nonvisual procedure for screening for nonstationarity in time series as obtained from intensive longitudinal designs	6
	5
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
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
	3
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
LLM‐based prior elicitation for Bayesian graphical modeling	3
Joint analysis of dispersed count‐time data using a bivariate latent factor model	3
	3
Score‐based measurement invariance checks for Bayesian maximum‐a‐posteriori estimates in item response theory	2
Penalized optimal scaling for ordinal variables with an application to international classification of functioning core sets	2
Modelling multiple problem‐solving strategies and strategy shift in cognitive diagnosis for growth	2
Investigating dynamics in attentive and inattentive responding together with their contextual correlates using a novel mixture IRT model for intensive longitudinal data	2
	2
A tutorial on Bayesian model averaging for exponential random graph models	2
A sequential Bayesian changepoint detection procedure for aberrant behaviours in computerized testing	2
Constructing tests for skill assessment with competence‐based test development	2
Handling missing data in variational autoencoder based item response theory	2
Issue Information	2
Mixtures of t$$ t $$ factor analysers with censored responses and external covariates: An application to educational data from Peru	2
An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models	2
CD‐polytomous knowledge spaces and corresponding polytomous surmise systems	2
A Bayes factor framework for unified parameter estimation and hypothesis testing	2
Modelling motion energy in psychotherapy: A dynamical systems approach	2
Effect sizes for experimental research	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
Incorporating calibration errors in oral reading fluency scoring	2
A new goodness‐of‐fit measure for probit models: Surrogate R ²	2
Issue Information	1
Flexible Bayesian modelling in dichotomous item response theory using mixtures of skewed item curves	1
Issue Information	1
	1
Assessing quality of selection procedures: Lower bound of false positive rate as a function of inter‐rater reliability	1

Reinforcement learning‐based adaptive learning: Rewards improvement considering learning duration	1
Editorial acknowledgement	1
Empirical indistinguishability: From the knowledge structure to the skills	1
Extending reliability to intensive longitudinal data with the Kalman filter	1
A path signature perspective of process data feature extraction	1
Pairwise likelihood estimation and limited‐information goodness‐of‐fit test statistics for binary factor analysis models under complex survey sampling	1
Are alternative variables in a set differently associated with a target variable? Statistical tests and practical advice for dealing with dependent correlations	1
Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters	1
A new Q‐matrix validation method based on signal detection theory	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
Compromised item detection: A Bayesian change‐point perspective	1
Subtask analysis of process data through a predictive model	1
A ranking forced choice diagnostic classification model for psychological assessment using forced choice questionnaires	1
Two efficient selection methods for high‐dimensional CD‐CAT utilizing max‐marginals factor from MAP	1
Tracking a multitude of abilities as they develop	1
A dual process item response theory model for polytomous multidimensional forced‐choice items	1
Data fusion by T3–PCA: A global model for the simultaneous analysis of coupled three‐way and two‐way real‐valued data	1
Three new corrections for standardized person‐fit statistics for tests with polytomous items	1
Assessment of fit of item response theory models: A critical review of the status quo and some future directions	1
Using multilabel classification neural network to detect intersectional DIF with small sample sizes	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
Premature conclusions about the signal‐to‐noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)	1
A sparse latent class model incorporating response times	1
K‐Plus anticlustering: An improved k ‐means criterion for maximizing between‐group similarity	1
Assessment of fit of the time‐varying dynamic partial credit model using the posterior predictive model checking method	1
Power priors for latent variable mediation models under small sample sizes	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