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Psychometric Properties of Various Factorial Models of the ORTO-15 Tested With Brazilian Respondents.

• Authors : Donofre, Giovanna Soler¹; Japur, Camila Cremonezi²; Laus, Maria Fernanda^3,4

• Source: Perceptual & Motor Skills; Oct2024, Vol. 131 Issue 5, p1531-1547, 17p

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Item Response Theory Models for Polytomous Multidimensional Forced‐Choice Items to Measure Construct Differentiation.

• Authors : Qiu, Xuelan¹, ; de la Torre, Jimmy²; Wang, You‐Gan³

• Source: Educational Measurement: Issues & Practice; Dec2024, Vol. 43 Issue 4, p157-168, 12p

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Four distinct models of learning health systems: Strength through diversity.

• Authors : Friedman, Charles P.¹, ; Greene, Sarah M.²

• Source: Learning Health Systems; Apr2025, Vol. 9 Issue 2, p1-5, 5p

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On the Identifiability of 3- and 4-Parameter Item Response Theory Models From the Perspective of Knowledge Space Theory.

• Authors : Noventa, Stefano¹, ; Ye, Sangbeak¹; Kelava, Augustin¹

• Source: Psychometrika; Jun2024, Vol. 89 Issue 2, p486-516, 31p

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Non-parametric Regression Among Factor Scores: Motivation and Diagnostics for Nonlinear Structural Equation Models.

• Authors : Grønneberg, Steffen¹, ; Irmer, Julien Patrick²

• Source: Psychometrika; Sep2024, Vol. 89 Issue 3, p822-850, 29p

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Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning.

• Authors : Mukhopadhyay, Minerva¹; McHaney, Jacie R.²; Chandrasekaran, Bharath²

• Source: Psychometrika; Jun2024, Vol. 89 Issue 2, p461-485, 25p

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Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses.

• Authors : Lin, Mengqi¹; Xu, Gongjun¹,

• Source: Psychometrika; Jun2024, Vol. 89 Issue 2, p717-740, 24p

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Zero‐ and few‐shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials.

• Authors : Šuster, Simon¹, ; Baldwin, Timothy²; Verspoor, Karin^1,3

• Source: Research Synthesis Methods; Nov2024, Vol. 15 Issue 6, p988-1000, 13p

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Using Multilevel Mixture Models in Educational Research: An Illustration with Homework Research.

• Authors : Flunger, Barbara (AUTHOR); Trautwein, Ulrich (AUTHOR); Nagengast, Benjamin (AUTHOR)

Subjects: Multilevel models; Education research; Homework

• Source: Journal of Experimental Education. 2021, Vol. 89 Issue 1, p209-236. 28p. 1 Diagram, 10 Charts, 4 Graphs.

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Large Language Model and Traditional Machine Learning Scoring of Evolutionary Explanations: Benefits and Drawbacks.

• Authors : Pan, Yunlong¹, ; Nehm, Ross H.^1,2

• Source: Education Sciences; Jun2025, Vol. 15 Issue 6, p676, 17p

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