Works matching IS 00333123 AND DT 2024 AND VI 89 AND IP 2
Results: 15
Remarks From the Editor-in-Chief.
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- Psychometrika, 2024, v. 89, n. 2, p. 385, doi. 10.1007/s11336-024-09981-6
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- Article
Post-selection Inference in Multiverse Analysis (PIMA): An Inferential Framework Based on the Sign Flipping Score Test.
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- Psychometrika, 2024, v. 89, n. 2, p. 542, doi. 10.1007/s11336-024-09973-6
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Learning Bayesian Networks: A Copula Approach for Mixed-Type Data.
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- Psychometrika, 2024, v. 89, n. 2, p. 658, doi. 10.1007/s11336-024-09969-2
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Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses.
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- Psychometrika, 2024, v. 89, n. 2, p. 717, doi. 10.1007/s11336-024-09961-w
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Efficient Corrections for Standardized Person-Fit Statistics.
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- Psychometrika, 2024, v. 89, n. 2, p. 569, doi. 10.1007/s11336-024-09960-x
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- Article
Book Review.
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- 2024
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- Book Review
Using External Information for More Precise Inferences in General Regression Models.
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- Psychometrika, 2024, v. 89, n. 2, p. 439, doi. 10.1007/s11336-024-09953-w
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A Spectral Method for Identifiable Grade of Membership Analysis with Binary Responses.
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- Psychometrika, 2024, v. 89, n. 2, p. 626, doi. 10.1007/s11336-024-09951-y
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On the Identifiability of 3- and 4-Parameter Item Response Theory Models From the Perspective of Knowledge Space Theory.
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- Psychometrika, 2024, v. 89, n. 2, p. 486, doi. 10.1007/s11336-024-09950-z
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- Article
A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA).
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- Psychometrika, 2024, v. 89, n. 2, p. 687, doi. 10.1007/s11336-024-09949-6
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- Article
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning.
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- Psychometrika, 2024, v. 89, n. 2, p. 461, doi. 10.1007/s11336-024-09947-8
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Measures of Agreement with Multiple Raters: Fréchet Variances and Inference.
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- Psychometrika, 2024, v. 89, n. 2, p. 517, doi. 10.1007/s11336-023-09945-2
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- Article
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation.
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- Psychometrika, 2024, v. 89, n. 2, p. 411, doi. 10.1007/s11336-023-09942-5
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- Article
Restricted Latent Class Models for Nominal Response Data: Identifiability and Estimation.
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- Psychometrika, 2024, v. 89, n. 2, p. 592, doi. 10.1007/s11336-023-09940-7
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- Article
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data.
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- Psychometrika, 2024, v. 89, n. 2, p. 386, doi. 10.1007/s11336-023-09936-3
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- Article