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 2022-01-01 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
Advances in meta‐analysis: A unifying modelling framework with measurement error correction	9
A new person‐fit method based on machine learning in CDM in education	9
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
Investigating heterogeneity in IRTree models for multiple response processes with score‐based partitioning	8
Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data	7
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
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratings	6
	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
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
Complete Q ‐matrices in conjunctive models on general attribute structures	3
	3
	3