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 2021-09-01 to 2025-09-01.)

Article	Citations
Estimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filter	40
Correction to “A new Q‐matrix validation method based on signal detection theory”	33
Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models	18
Distance‐based logistic model for cross‐classified categorical data	14
A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy	13
Correcting for measurement error under meta‐analysis of z‐transformed correlations	13
Investigating heterogeneity in IRTree models for multiple response processes with score‐based partitioning	11
	10
Determining the number of attributes in the GDINA model	9
A new person‐fit method based on machine learning in CDM in education	8
Advances in meta‐analysis: A unifying modelling framework with measurement error correction	8
Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach	7
Penalization approaches in the conditional maximum likelihood and Rasch modelling context	7
Bayesian hierarchical response time modelling—A tutorial	7
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratings	6
Statistical inference for agreement between multiple raters on a binary scale	6
Inferences of associated latent variables by the observable test scores	6
A general dynamic learning model framework for cognitive diagnosis	6
Latent variable selection in multidimensional item response theory models using the expectation model selection algorithm	5
A novel nonvisual procedure for screening for nonstationarity in time series as obtained from intensive longitudinal designs	5
Multilevel SEM with random slopes in discrete data using the pairwise maximum likelihood	5
Issue Information	5
	5
Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data	5
A general diagnostic modelling framework for forced‐choice assessments	5

A comparison of different measures of the proportion of explained variance in multiply imputed data sets	4
Pairwise stochastic approximation for confirmatory factor analysis of categorical data	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
Issue Information	4
Effect sizes in ANCOVA and difference‐in‐differences designs	4
Assessment of generalised Bayesian structural equation models for continuous and binary data	4
	4
Corrigendum	3
Joint analysis of dispersed count‐time data using a bivariate latent factor model	3
	3
Complete Q‐matrices in conjunctive models on general attribute structures	3
Frequency‐adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction	3
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
Issue Information	3
Testing the validity of instrumental variables in just‐identified linear non‐Gaussian models	3
	3