British Journal of Mathematical & Statistical Psychology

Papers
(The median citation count of British Journal of Mathematical & Statistical Psychology is 0. 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.)
ArticleCitations
Estimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filter40
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 models18
Distance‐based logistic model for cross‐classified categorical data14
Correcting for measurement error under meta‐analysis of z‐transformed correlations13
A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy13
Investigating heterogeneity in IRTree models for multiple response processes with score‐based partitioning11
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Determining the number of attributes in the GDINA model9
A new person‐fit method based on machine learning in CDM in education8
Advances in meta‐analysis: A unifying modelling framework with measurement error correction8
Penalization approaches in the conditional maximum likelihood and Rasch modelling context7
Bayesian hierarchical response time modelling—A tutorial7
Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach7
Inferences of associated latent variables by the observable test scores6
A general dynamic learning model framework for cognitive diagnosis6
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratings6
Statistical inference for agreement between multiple raters on a binary scale6
Multilevel SEM with random slopes in discrete data using the pairwise maximum likelihood5
Issue Information5
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Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data5
A general diagnostic modelling framework for forced‐choice assessments5
Latent variable selection in multidimensional item response theory models using the expectation model selection algorithm5
A novel nonvisual procedure for screening for nonstationarity in time series as obtained from intensive longitudinal designs5
Theoretical considerations when simulating data from the g‐and‐h family of distributions4
Issue Information4
Effect sizes in ANCOVA and difference‐in‐differences designs4
Assessment of generalised Bayesian structural equation models for continuous and binary data4
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A comparison of different measures of the proportion of explained variance in multiply imputed data sets4
Pairwise stochastic approximation for confirmatory factor analysis of categorical data4
The generalized Hausman test for detecting non‐normality in the latent variable distribution of the two‐parameter IRT model4
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Complete Q‐matrices in conjunctive models on general attribute structures3
Frequency‐adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction3
Using cross‐validation methods to select time series models: Promises and pitfalls3
A model‐based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients3
Issue Information3
Testing the validity of instrumental variables in just‐identified linear non‐Gaussian models3
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Corrigendum3
Joint analysis of dispersed count‐time data using a bivariate latent factor model3
Identifiability analysis of the fixed‐effects one‐parameter logistic positive exponent model2
A comparative evaluation of factor‐ and component‐based structural equation modelling approaches under (in)correct construct representations2
Handling missing data in variational autoencoder based item response theory2
Penalized optimal scaling for ordinal variables with an application to international classification of functioning core sets2
Regularized Bayesian algorithms for Q‐matrix inference based on saturated cognitive diagnosis modelling2
Issue Information2
Constructing tests for skill assessment with competence‐based test development2
Modelling multiple problem‐solving strategies and strategy shift in cognitive diagnosis for growth2
Effect sizes for experimental research2
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Issue Information2
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Remarkable properties for diagnostics and inference of ranking data modelling1
A sparse latent class model incorporating response times1
A Gibbs‐INLA algorithm for multidimensional graded response model analysis1
Efficient and accurate variational inference for multilevel threshold autoregressive models in intensive longitudinal data1
Assessment of fit of the time‐varying dynamic partial credit model using the posterior predictive model checking method1
A sequential Bayesian changepoint detection procedure for aberrant behaviours in computerized testing1
Data‐driven Q‐matrix learning based on Boolean matrix factorization in cognitive diagnostic assessment1
Incorporating calibration errors in oral reading fluency scoring1
A tutorial on Bayesian model averaging for exponential random graph models1
Computing the real solutions of Fleishman's equations for simulating non‐normal data1
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 with1
Editorial acknowledgement1
Empirical indistinguishability: From the knowledge structure to the skills1
Investigating dynamics in attentive and inattentive responding together with their contextual correlates using a novel mixture IRT model for intensive longitudinal data1
Score‐based measurement invariance checks for Bayesian maximum‐a‐posteriori estimates in item response theory1
A path signature perspective of process data feature extraction1
Subtask analysis of process data through a predictive model1
The evidence interval and the Bayesian evidence value: On a unified theory for Bayesian hypothesis testing and interval estimation1
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Flexible Bayesian modelling in dichotomous item response theory using mixtures of skewed item curves1
CD‐polytomous knowledge spaces and corresponding polytomous surmise systems1
Two efficient selection methods for high‐dimensional CD‐CAT utilizing max‐marginals factor from MAP query and ensemble learning approach1
Mixtures of t$$ t $$ factor analysers with censored responses and external covariates: An application to educational data from Peru1
A new goodness‐of‐fit measure for probit models: Surrogate R21
Modelling motion energy in psychotherapy: A dynamical systems approach1
Replies to comments on "Which method delivers greater signal‐to‐noise ratio: Structural equation modelling or regression analysis with weighted composites?" by Yuan and Fang (2023)0
Refinement: Measuring informativeness of ratings in the absence of a gold standard0
A ranking forced choice diagnostic classification model for psychological assessment using forced choice questionnaires0
Understanding linear interaction analysis with causal graphs0
Assessing quality of selection procedures: Lower bound of false positive rate as a function of inter‐rater reliability0
Statistical foundations of person parameter estimation in the Thurstonian IRT model for forced‐choice and pairwise comparison designs0
A supervised learning approach to estimating IRT models in small samples0
Are alternative variables in a set differently associated with a target variable? Statistical tests and practical advice for dealing with dependent correlations0
Issue Information0
Empirical underidentification in estimating random utility models: The role of choice sets and standardizations0
Fusion of score‐differencing and response similarity statistics for detecting examinees with item preknowledge0
Reduced rank regression for mixed predictor and response variables0
A flexible approach to modelling over‐, under‐ and equidispersed count data in IRT: The Two‐Parameter Conway–Maxwell–Poisson Model0
The effective sample size in Bayesian information criterion for level‐specific fixed and random‐effect selection in a two‐level nested model0
Perturbation graphs, invariant causal prediction and causal relations in psychology0
Approximately counting and sampling knowledge states0
Editorial acknowledgement0
Using item scores and response times in person‐fit assessment0
Distinguishing cause from effect in psychological research: An independence‐based approach under linear non‐Gaussian models0
A two‐step item bank calibration strategy based on 1‐bit matrix completion for small‐scale computerized adaptive testing0
Combining regularization and logistic regression model to validate the Q‐matrix for cognitive diagnosis model0
A convexity‐constrained parameterization of the random effects generalized partial credit model0
Tracking a multitude of abilities as they develop0
IRT‐based response style models and related methodology: Review and commentary0
Pairwise likelihood estimation and limited‐information goodness‐of‐fit test statistics for binary factor analysis models under complex survey sampling0
New developments in experience sampling methodology0
Heterogeneous heterogeneity by default: Testing categorical moderators in mixed‐effects meta‐analysis0
A new Q‐matrix validation method based on signal detection theory0
Enhancing measurement validity in diverse populations: Modern approaches to evaluating differential item functioning0
A cluster differences unfolding method for large datasets of preference ratings on an interval scale: Minimizing the mean squared centred residuals0
On a general theoretical framework of reliability0
Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling0
Premature conclusions about the signal‐to‐noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)0
A unified EM framework for estimation and inference of normal ogive item response models0
Maximal point‐polyserial correlation for non‐normal random distributions0
K‐Plus anticlustering: An improved k‐means criterion for maximizing between‐group similarity0
Score‐based tests for parameter instability in ordinal factor models0
Integer programming in psychology: A review and directions for future research0
Modelling multilevel nonlinear treatment‐by‐covariate interactions in cluster randomized controlled trials using a generalized additive mixed model0
Applying support vector machines to a diagnostic classification model for polytomous attributes in small‐sample contexts0
Effect size comparison for populations with an application in psychology0
Nonparametric CD‐CAT for multiple‐choice items: Item selection method and Q‐optimality0
Fast estimation of generalized linear latent variable models for performance and process data with ordinal, continuous, and count observed variables0
Exploring examinees' responses to constructed response items with a supervised topic model0
Variational Bayes inference for hidden Markov diagnostic classification models0
Issue Information0
A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment data0
Correction to ‘a note on computing Louis' observed information matrix identity for IRT and cognitive diagnostic models’0
From missing data to informative GPA predictions: Navigating selection process beliefs with the partial identifiability approach0
Assessment of fit of item response theory models: A critical review of the status quo and some future directions0
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Item selection methods with exposure and time control for computerized classification test0
Data fusion by T3–PCA: A global model for the simultaneous analysis of coupled three‐way and two‐way real‐valued data0
When and how to use set‐exploratory structural equation modelling to test structural models: A tutorial using the R package lavaan0
Reliability coefficients for multiple group item response theory models0
The diamond ratio: A visual indicator of the extent of heterogeneity in meta‐analysis0
MCMC stopping rules in latent variable modelling0
On generating plausible values for multilevel modelling with large‐scale‐assessment data0
Editorial acknowledgement0
A note on the use of rank‐ordered logit models for ordered response categories0
Extending exploratory diagnostic classification models: Inferring the effect of covariates0
Compromised item detection: A Bayesian change‐point perspective0
Residual permutation tests for feature importance in machine learning0
Mixture‐modelling‐based Bayesian MH‐RM algorithm for the multidimensional 4PLM0
Which method delivers greater signal‐to‐noise ratio: Structural equation modelling or regression analysis with weighted composites?0
Issue Information0
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Testing indirect effect with a complete or incomplete dichotomous mediator0
Optimizing calibration designs with uncertainty in abilities0
Issue Information0
On the Q statistic with constant weights for standardized mean difference0
Issue Information0
A correlated traits correlated (methods – 1) multitrait‐multimethod model for augmented round‐robin data0
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Decomposition of WAIC for assessing the information gain with application to educational testing0
Sample size determination for interval estimation of the prevalence of a sensitive attribute under non‐randomized response models0
Three new corrections for standardized person‐fit statistics for tests with polytomous items0
A tutorial for understanding SEM using R: Where do all the numbers come from?0
Editorial acknowledgement0
Issue Information0
A dual process item response theory model for polytomous multidimensional forced‐choice items0
Issue Information0
Discriminability around polytomous knowledge structures and polytomous functions0
An explanatory mixture IRT model for careless and insufficient effort responding in self‐report measures0
The Fisher information function and scoring in binary ideal point item response models: a cautionary tale0
The biasing effects of selection and attrition on estimating the mean0
Ordinal state‐trait regression for intensive longitudinal data0
Treating random effects as observed versus latent predictors: The bias–variance tradeoff in small samples0
Average treatment effects on binary outcomes with stochastic covariates0
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