Works matching IS 00333123 AND DT 2024 AND VI 89 AND IP 1
Results: 16
Remarks from the New Editor-in-Chief.
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- Psychometrika, 2024, v. 89, n. 1, p. 1, doi. 10.1007/s11336-024-09970-9
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Reducing Attenuation Bias in Regression Analyses Involving Rating Scale Data via Psychometric Modeling.
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- Psychometrika, 2024, v. 89, n. 1, p. 42, doi. 10.1007/s11336-024-09967-4
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Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment.
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- Psychometrika, 2024, v. 89, n. 1, p. 64, doi. 10.1007/s11336-024-09966-5
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Examining Differential Item Functioning from a Multidimensional IRT Perspective.
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- Psychometrika, 2024, v. 89, n. 1, p. 4, doi. 10.1007/s11336-024-09965-6
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- Article
Recognize the Value of the Sum Score, Psychometrics' Greatest Accomplishment.
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- Psychometrika, 2024, v. 89, n. 1, p. 84, doi. 10.1007/s11336-024-09964-7
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- Article
Book Review Computational Aspects of Psychometric Methods by Martinková & Hladká.
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- Psychometrika, 2024, v. 89, n. 1, p. 376, doi. 10.1007/s11336-024-09954-9
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- Article
Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models.
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- Psychometrika, 2024, v. 89, n. 1, p. 151, doi. 10.1007/s11336-024-09952-x
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DIF Analysis with Unknown Groups and Anchor Items.
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- Psychometrika, 2024, v. 89, n. 1, p. 267, doi. 10.1007/s11336-024-09948-7
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A Multidimensional Model to Facilitate Within Person Comparison of Attributes.
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- Psychometrika, 2024, v. 89, n. 1, p. 296, doi. 10.1007/s11336-023-09946-1
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Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes.
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- Psychometrika, 2024, v. 89, n. 1, p. 241, doi. 10.1007/s11336-023-09944-3
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Psychometric Society Meeting of the Members University of Maryland College Park, Maryland July 28, 2023.
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- Psychometrika, 2024, v. 89, n. 1, p. 381, doi. 10.1007/s11336-023-09943-4
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- Article
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs).
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- Psychometrika, 2024, v. 89, n. 1, p. 118, doi. 10.1007/s11336-023-09941-6
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A Note on Improving Variational Estimation for Multidimensional Item Response Theory.
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- Psychometrika, 2024, v. 89, n. 1, p. 172, doi. 10.1007/s11336-023-09939-0
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- Article
A Latent Hidden Markov Model for Process Data.
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- Psychometrika, 2024, v. 89, n. 1, p. 205, doi. 10.1007/s11336-023-09938-1
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Adjusted Residuals for Evaluating Conditional Independence in IRT Models for Multistage Adaptive Testing.
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- Psychometrika, 2024, v. 89, n. 1, p. 317, doi. 10.1007/s11336-023-09935-4
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Regularized Variational Estimation for Exploratory Item Factor Analysis.
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- Psychometrika, 2024, v. 89, n. 1, p. 347, doi. 10.1007/s11336-022-09874-6
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- Article