British Journal of Mathematical & Statistical Psychology

Papers
(The TQCC of British Journal of Mathematical & Statistical Psychology is 2. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Relating latent class membership to external variables: An overview52
A comparative evaluation of factor‐ and component‐based structural equation modelling approaches under (in)correct construct representations24
An exploratory analysis of the latent structure of process data via action sequence autoencoders22
Gaussian variational estimation for multidimensional item response theory13
An explanatory mixture IRT model for careless and insufficient effort responding in self‐report measures12
Balancing fit and parsimony to improve Q‐matrix validation10
An overview of applied robust methods10
A close‐up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation9
Two‐way ANOVA: Inferences about interactions based on robust measures of effect size8
Causal graphical views of fixed effects and random effects models7
Which method delivers greater signal‐to‐noise ratio: Structural equation modelling or regression analysis with weighted composites?7
Fisher transformation based confidence intervals of correlations in fixed‐ and random‐effects meta‐analysis6
A psychometric model for respondent‐level anchoring on self‐report rating scale instruments6
A note on computing Louis’ observed information matrix identity for IRT and cognitive diagnostic models6
A flexible approach to modelling over‐, under‐ and equidispersed count data in IRT: The Two‐Parameter Conway–Maxwell–Poisson Model6
The evidence interval and the Bayesian evidence value: On a unified theory for Bayesian hypothesis testing and interval estimation5
CD‐polytomous knowledge spaces and corresponding polytomous surmise systems5
Empirical underidentification in estimating random utility models: The role of choice sets and standardizations4
Bayesian Gaussian distributional regression models for more efficient norm estimation4
Shrinkage estimation of the three‐parameter logistic model4
Reliability coefficients for multiple group item response theory models4
A Gibbs sampler for the multidimensional four‐parameter logistic item response model via a data augmentation scheme4
Stopping rules for multi‐category computerized classification testing4
On the Q statistic with constant weights for standardized mean difference4
Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations4
Notes on attribution functions4
Semi‐automated Rasch analysis using in‐plus‐out‐of‐questionnaire log likelihood3
A new goodness‐of‐fit measure for probit models: Surrogate R23
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A semiparametric approach for item response function estimation to detect item misfit3
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Factor copula models for mixed data3
Effect sizes in ANCOVA and difference‐in‐differences designs3
Penalization approaches in the conditional maximum likelihood and Rasch modelling context3
Computerized adaptive testing for testlet‐based innovative items2
Modelling multilevel nonlinear treatment‐by‐covariate interactions in cluster randomized controlled trials using a generalized additive mixed model2
Robust Bayesian growth curve modelling using conditional medians2
Riemannian Newton and trust‐region algorithms for analytic rotation in exploratory factor analysis2
On the empirical indistinguishability of knowledge structures2
The impacts of ignoring individual mobility across clusters in estimating a piecewise growth model2
Distance‐based logistic model for cross‐classified categorical data2
Bayesian explanatory additive IRT models2
A sequential Bayesian changepoint detection procedure for aberrant behaviours in computerized testing2
The diamond ratio: A visual indicator of the extent of heterogeneity in meta‐analysis2
Multilevel SEM with random slopes in discrete data using the pairwise maximum likelihood2
D‐optimal design for the Rasch counts model with multiple binary predictors2
An item response tree model with not‐all‐distinct end nodes for non‐response modelling2
Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random2
Premature conclusions about the signal‐to‐noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)2
Nested diagnostic classification models for multiple‐choice items2
Latent variable selection in multidimensional item response theory models using the expectation model selection algorithm2
Measurement bias and error correction in a two‐stage estimation for multilevel IRT models2
Treating random effects as observed versus latent predictors: The bias–variance tradeoff in small samples2
Subtask analysis of process data through a predictive model2
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