Dein Suchergebnis zum Thema: Model

A supervised learning approach to estimating IRT models in small samples – Leibniz-Institut

https://www.leibniz-ipn.de/de/forschen/publikationen/a-supervised-learning-approach-to-estimating-irt-models-in-small-samples

We describe and evaluate our approach for the three-parameter logistic model; however – , it is applicable to any model with an item characteristic curve. – supporting the obtainment of both point estimates and confidence intervals for IRT model
We describe and evaluate our approach for the three-parameter logistic model; however

A supervised learning approach to estimating IRT models in small samples – Leibniz-Institut

https://www.leibniz-ipn.de/de/forschen/publikationen/a-supervised-learning-approach-to-estimating-irt-models-in-small-samples?show_navhelper=1

We describe and evaluate our approach for the three-parameter logistic model; however – , it is applicable to any model with an item characteristic curve. – supporting the obtainment of both point estimates and confidence intervals for IRT model
We describe and evaluate our approach for the three-parameter logistic model; however

A comparison of linking methods for longitudinal designs with the 2PL model under

https://www.leibniz-ipn.de/de/forschen/publikationen/a-comparison-of-linking-methods-for-longitudinal-designs-with-the-2pl-model-under-item-parameter-drift

This study investigates longitudinal linking of dichotomous item responses across three time points, focusing on Haberman, Haebara, Stocking-Lord linking, and concurrent calibration under item parameter drift (IPD). Joint and chain linking are examined. Three simulation studies compared these methods under IPD and different linking designs. The first study assessed linking methods under sampling error and uniform IPD, showing Haberman joint linking minimized bias and root mean square error (RMSE), especially at larger sample sizes, while concurrent calibration was most accurate without IPD. The second study introduced two designs: using anchor items across all three time points or only adjacent items between consecutive time points. Without IPD, concurrent calibration remained most precise, while under uniform IPD, Haberman methods balanced bias and precision. The third study analyzed nonuniform IPD, finding Haberman chain linking achieved the best bias and RMSE performance. Overall, chain linking outperformed joint linking under IPD. Implications for analyzing longitudinal linking designs are discussed.
des IPN A comparison of linking methods for longitudinal designs with the 2PL model

Proof comprehension, proof validation, & proof construction: All the same or different skills? An answer based on an empirical analysis – Leibniz-Institut für die Pädagogik der Naturwissenschaften und Mathematik

https://www.leibniz-ipn.de/de/forschen/publikationen/proof-comprehension-proof-validation-proof-construction

ranging from a 1-dimensional overall skill to 2-dimensional models to a 3-dimensional model – Evidence from 153 undergraduate mathematics students showed that a 2-dimensional model – data best and is superior to the other models based on multiple criteria for SEM model
ranging from a 1-dimensional overall skill to 2-dimensional models to a 3-dimensional model

Proof comprehension, proof validation, & proof construction: All the same or different skills? An answer based on an empirical analysis – Leibniz-Institut für die Pädagogik der Naturwissenschaften und Mathematik

https://www.leibniz-ipn.de/de/forschen/publikationen/proof-comprehension-proof-validation-proof-construction?show_navhelper=1

ranging from a 1-dimensional overall skill to 2-dimensional models to a 3-dimensional model – Evidence from 153 undergraduate mathematics students showed that a 2-dimensional model – data best and is superior to the other models based on multiple criteria for SEM model
ranging from a 1-dimensional overall skill to 2-dimensional models to a 3-dimensional model

A comparison of linking methods for longitudinal designs with the 2PL model under

https://www.leibniz-ipn.de/de/forschen/publikationen/a-comparison-of-linking-methods-for-longitudinal-designs-with-the-2pl-model-under-item-parameter-drift?show_navhelper=1

This study investigates longitudinal linking of dichotomous item responses across three time points, focusing on Haberman, Haebara, Stocking-Lord linking, and concurrent calibration under item parameter drift (IPD). Joint and chain linking are examined. Three simulation studies compared these methods under IPD and different linking designs. The first study assessed linking methods under sampling error and uniform IPD, showing Haberman joint linking minimized bias and root mean square error (RMSE), especially at larger sample sizes, while concurrent calibration was most accurate without IPD. The second study introduced two designs: using anchor items across all three time points or only adjacent items between consecutive time points. Without IPD, concurrent calibration remained most precise, while under uniform IPD, Haberman methods balanced bias and precision. The third study analyzed nonuniform IPD, finding Haberman chain linking achieved the best bias and RMSE performance. Overall, chain linking outperformed joint linking under IPD. Implications for analyzing longitudinal linking designs are discussed.
des IPN A comparison of linking methods for longitudinal designs with the 2PL model

Comparing weighted RMSD, weighted MD, infit, and outfit item fit statistics under uniform differential item functioning – Leibniz-Institut für die Pädagogik der Naturwissenschaften und Mathematik

https://www.leibniz-ipn.de/de/forschen/publikationen/comparing-weighted-rmsd-weighted-md-infit-and-outfit-item-fit-statistics-under-uniform-differential-item-functioning

DIF) across countries often challenges the application of a common item response model – , such as the two-parameter logistic (2PL) model, to all participating countries.
Veröffentlicht – 11.2025 Keywords item fit, differential item functioning, item response model

Comparing weighted RMSD, weighted MD, infit, and outfit item fit statistics under uniform differential item functioning – Leibniz-Institut für die Pädagogik der Naturwissenschaften und Mathematik

https://www.leibniz-ipn.de/de/forschen/publikationen/comparing-weighted-rmsd-weighted-md-infit-and-outfit-item-fit-statistics-under-uniform-differential-item-functioning?show_navhelper=1

DIF) across countries often challenges the application of a common item response model – , such as the two-parameter logistic (2PL) model, to all participating countries.
Veröffentlicht – 11.2025 Keywords item fit, differential item functioning, item response model