Multimodal Test Item Parameter Prediction From Text, Images, and Metadata: Fusing Together AI Vision and Language Models. [PDF]
Maeda H, Lu YE.
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What factors influence contraceptive counselling readiness among Vietnamese medical students? A nationwide study protocol applying the extended theory of planned behaviour (the V-COC study). [PDF]
Ky ND +9 more
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Task Engagement in Matrix Reasoning Performance: A Cross-Cultural Investigation in China and the United Kingdom. [PDF]
Wang R +4 more
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Development and validation of a computerized adaptive testing for borderline personality disorder. [PDF]
Xi C, Lao Q, Peng S, Zuo S, Liu K.
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Out-of-Plane Skew Effects on the Cyclic Performance of Column-Tree Steel Moment Connections. [PDF]
Kim GW, Hong JK.
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Psychometric validation of the Paykel Suicidal Behavior Scale in Mexican adolescents. [PDF]
Séris-Martínez M +6 more
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Evaluation of R Packages with IRT 2PL Model
This simulation study compares the three most popular R packages: ltm, mirt and TAM, in terms of the accuracy and precision of item parameter estimation and computational efficiency for the IRT 2PL model. Ability parameters are simulated from a normal, uniform and a skewed distribution. Response matrices are simulated and the three packages are used to
Hong, Maxwell +2 more
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A Comparison of Two MCMC Algorithms for the 2PL IRT Model
Springer Proceedings in Mathematics and Statistics, 2017Markov chain Monte Carlo (MCMC) techniques have become popular for estimating item response theory (IRT) models. The current development of MCMC includes two major algorithms: Gibbs sampling and the No-U-Turn sampler (NUTS), which can be implemented in two specialized software packages JAGS and Stan, respectively.
Meng-I Chang, Yanyan Sheng
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