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A flexible approach to modelling over‐, under‐and equidispersed count data in IRT: The Two‐Parameter Conway–Maxwell–Poisson Model
M Beisemann - British Journal of Mathematical and Statistical …, 2022 - Wiley Online Library
Several psychometric tests and self‐reports generate count data (eg, divergent thinking
tasks). The most prominent count data item response theory model, the Rasch Poisson …
tasks). The most prominent count data item response theory model, the Rasch Poisson …
Every Trait Counts: Marginal Maximum Likelihood Estimation for Novel Multidimensional Count Data Item Response Models with Rotation or–Regularization for …
Multidimensional item response theory (MIRT) offers psychometric models for various data
settings, most popularly for dichotomous and polytomous data. Less attention has been …
settings, most popularly for dichotomous and polytomous data. Less attention has been …
A note on a computationally efficient implementation of the EM algorithm in item response models
A Robitzsch - Quantitative and Computational Methods in …, 2021 - qcmb.psychopen.eu
This note sketches two computational shortcuts for estimating unidimensional item response
models and multidimensional item response models with between-item dimensionality …
models and multidimensional item response models with between-item dimensionality …
Understanding ability and reliability differences measured with count items: The distributional regression test model and the count latent regression model
In psychology and education, tests (eg, reading tests) and self-reports (eg, clinical
questionnaires) generate counts, but corresponding Item Response Theory (IRT) methods …
questionnaires) generate counts, but corresponding Item Response Theory (IRT) methods …
[HTML][HTML] Editorial of the Psych Special Issue “Computational Aspects, Statistical Algorithms and Software in Psychometrics”
A Robitzsch - Psych, 2022 - mdpi.com
Statistical software in psychometrics has made tremendous progress in providing open
source solutions (eg, software R, Julia, Python). In the articles of this Special Issue, focus …
source solutions (eg, software R, Julia, Python). In the articles of this Special Issue, focus …
[PDF][PDF] Item response models for count data: Generalizations and estimation algorithms
M Beisemann - 2024 - eldorado.tu-dortmund.de
Item response theory (IRT) represents a statistical framework within which responses to
psychological tests can be modelled. A psychological test consists of a set of items (eg, tasks …
psychological tests can be modelled. A psychological test consists of a set of items (eg, tasks …
[LLIBRE][B] Multilevel Probabilistic Canonical Correlation Analysis for Integrative Analysis of Multi-Omics Data with Repeated Measurements
Y Kim - 2023 - search.proquest.com
Multi-omics data have been used to characterize covariation in multiple biological profiles,
allowing for a more comprehensive understanding of complex biological processes …
allowing for a more comprehensive understanding of complex biological processes …
A flexible approach to modeling over-, under-and equidispersed count data in IRT: The two-parameter Conway-Maxwell-Poisson model
M Beisemann - 2021 - osf.io
Several psychometric tests and self-reports generate count data, eg, divergent thinking
tasks. The most prominent count data IRT model, the Rasch Poisson Counts Model (RPCM) …
tasks. The most prominent count data IRT model, the Rasch Poisson Counts Model (RPCM) …