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 2022-08-01 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
Investigating heterogeneity in IRTree models for multiple response processes with score‐based partitioning	14
Latent Poisson count models for action count data from technology‐enhanced assessments	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
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
	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
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
The generalized Hausman test for detecting non‐normality in the latent variable distribution of the two‐parameter IRT model	5
	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
Issue Information	4
Identifiability analysis of the fixed‐effects one‐parameter logistic positive exponent model	3
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