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Some comments in connection with Rozeboom's linear correlation theory.

Psychometrika

Fhanér S.
PMID: 5222213
Psychometrika. 1966 Jun;31(2):267-9. doi: 10.1007/BF02289513.

No abstract available.

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Fhanér S. Some comments in connection with Rozeboom's linear correlation theory. Psychometrika. 1966;31(2):267-9doi: 10.1007/BF02289513.
Fhanér, S. (1966). Some comments in connection with Rozeboom's linear correlation theory. Psychometrika, 31(2), 267-9. https://doi.org/10.1007/BF02289513
Fhanér, S. "Some comments in connection with Rozeboom's linear correlation theory." Psychometrika vol. 31,2 (1966): 267-9. doi: https://doi.org/10.1007/BF02289513
Fhanér S. Some comments in connection with Rozeboom's linear correlation theory. Psychometrika. 1966 Jun;31(2):267-9. doi: 10.1007/BF02289513. PMID: 5222213.
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Coefficient alpha and the reliability of composite measurements.

Psychometrika

Novick MR, Lewis C.
PMID: 5232569
Psychometrika. 1967 Mar;32(1):1-13. doi: 10.1007/BF02289400.

No abstract available.

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Novick MR, Lewis C. Coefficient alpha and the reliability of composite measurements. Psychometrika. 1967;32(1):1-13doi: 10.1007/BF02289400.
Novick, M. R., & Lewis, C. (1967). Coefficient alpha and the reliability of composite measurements. Psychometrika, 32(1), 1-13. https://doi.org/10.1007/BF02289400
Novick, M R, and Lewis, C. "Coefficient alpha and the reliability of composite measurements." Psychometrika vol. 32,1 (1967): 1-13. doi: https://doi.org/10.1007/BF02289400
Novick MR, Lewis C. Coefficient alpha and the reliability of composite measurements. Psychometrika. 1967 Mar;32(1):1-13. doi: 10.1007/BF02289400. PMID: 5232569.
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A significance test for one parameter isosensitivity functions.

Psychometrika

Gourevitch V, Galanter E.
PMID: 5232570
Psychometrika. 1967 Mar;32(1):25-33. doi: 10.1007/BF02289402.

No abstract available.

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Gourevitch V, Galanter E. A significance test for one parameter isosensitivity functions. Psychometrika. 1967;32(1):25-33doi: 10.1007/BF02289402.
Gourevitch, V., & Galanter, E. (1967). A significance test for one parameter isosensitivity functions. Psychometrika, 32(1), 25-33. https://doi.org/10.1007/BF02289402
Gourevitch, V, and Galanter, E. "A significance test for one parameter isosensitivity functions." Psychometrika vol. 32,1 (1967): 25-33. doi: https://doi.org/10.1007/BF02289402
Gourevitch V, Galanter E. A significance test for one parameter isosensitivity functions. Psychometrika. 1967 Mar;32(1):25-33. doi: 10.1007/BF02289402. PMID: 5232570.
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F tests for the absolute invariance of dominance and composition scales.

Psychometrika

Bechtel GG.
PMID: 5233039
Psychometrika. 1967 Jun;32(2):157-82. doi: 10.1007/BF02289424.

No abstract available.

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Bechtel GG. F tests for the absolute invariance of dominance and composition scales. Psychometrika. 1967;32(2):157-82doi: 10.1007/BF02289424.
Bechtel, G. G. (1967). F tests for the absolute invariance of dominance and composition scales. Psychometrika, 32(2), 157-82. https://doi.org/10.1007/BF02289424
Bechtel, G G. "F tests for the absolute invariance of dominance and composition scales." Psychometrika vol. 32,2 (1967): 157-82. doi: https://doi.org/10.1007/BF02289424
Bechtel GG. F tests for the absolute invariance of dominance and composition scales. Psychometrika. 1967 Jun;32(2):157-82. doi: 10.1007/BF02289424. PMID: 5233039.
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An extension of item analysis procedures to the case of polychotomous response.

Psychometrika

Baker FB, Gurland J.
PMID: 5243963
Psychometrika. 1968 Sep;33(3):259-66. doi: 10.1007/BF02289326.

No abstract available.

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Baker FB, Gurland J. An extension of item analysis procedures to the case of polychotomous response. Psychometrika. 1968;33(3):259-66doi: 10.1007/BF02289326.
Baker, F. B., & Gurland, J. (1968). An extension of item analysis procedures to the case of polychotomous response. Psychometrika, 33(3), 259-66. https://doi.org/10.1007/BF02289326
Baker, F B, and Gurland, J. "An extension of item analysis procedures to the case of polychotomous response." Psychometrika vol. 33,3 (1968): 259-66. doi: https://doi.org/10.1007/BF02289326
Baker FB, Gurland J. An extension of item analysis procedures to the case of polychotomous response. Psychometrika. 1968 Sep;33(3):259-66. doi: 10.1007/BF02289326. PMID: 5243963.
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Erratum to: On the Unidentifiability of the Fixed-Effects 3PL Model.

Psychometrika

San Martín E, González J, Tuerlinckx F.
PMID: 26232045
Psychometrika. 2015 Dec;80(4):1146. doi: 10.1007/s11336-015-9470-0.

Condition 2 of Theorem 2 was incorrect in the published version. The correct condition 2 appears in this erratum. Theorem 2. Suppose that I ≥ 3 for the fixed-effects 3PL model. If ω1 = (α1, β1, c1) is fixed...

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San Martín E, González J, Tuerlinckx F. Erratum to: On the Unidentifiability of the Fixed-Effects 3PL Model. Psychometrika. 2015;80(4):1146doi: 10.1007/s11336-015-9470-0.
San Martín, E., González, J., & Tuerlinckx, F. (2015). Erratum to: On the Unidentifiability of the Fixed-Effects 3PL Model. Psychometrika, 80(4), 1146. https://doi.org/10.1007/s11336-015-9470-0
San Martín, Ernesto, et al. "Erratum to: On the Unidentifiability of the Fixed-Effects 3PL Model." Psychometrika vol. 80,4 (2015): 1146. doi: https://doi.org/10.1007/s11336-015-9470-0
San Martín E, González J, Tuerlinckx F. Erratum to: On the Unidentifiability of the Fixed-Effects 3PL Model. Psychometrika. 2015 Dec;80(4):1146. doi: 10.1007/s11336-015-9470-0. PMID: 26232045.
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Regularized Generalized Canonical Correlation Analysis: A Framework for Sequential Multiblock Component Methods.

Psychometrika

Tenenhaus M, Tenenhaus A, Groenen PJF.
PMID: 28536930
Psychometrika. 2017 May 23; doi: 10.1007/s11336-017-9573-x. Epub 2017 May 23.

A new framework for sequential multiblock component methods is presented. This framework relies on a new version of regularized generalized canonical correlation analysis (RGCCA) where various scheme functions and shrinkage constants are considered. Two types of between block connections...

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Tenenhaus M, Tenenhaus A, Groenen PJF. Regularized Generalized Canonical Correlation Analysis: A Framework for Sequential Multiblock Component Methods. Psychometrika. 2017;doi: 10.1007/s11336-017-9573-x.
Tenenhaus, M., Tenenhaus, A., & Groenen, P. J. F. (2017). Regularized Generalized Canonical Correlation Analysis: A Framework for Sequential Multiblock Component Methods. Psychometrika, . https://doi.org/10.1007/s11336-017-9573-x
Tenenhaus, Michel, et al. "Regularized Generalized Canonical Correlation Analysis: A Framework for Sequential Multiblock Component Methods." Psychometrika vol. (2017). doi: https://doi.org/10.1007/s11336-017-9573-x
Tenenhaus M, Tenenhaus A, Groenen PJF. Regularized Generalized Canonical Correlation Analysis: A Framework for Sequential Multiblock Component Methods. Psychometrika. 2017 May 23; doi: 10.1007/s11336-017-9573-x. Epub 2017 May 23. PMID: 28536930.
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A Hierarchical Model for Accuracy and Choice on Standardized Tests.

Psychometrika

Culpepper SA, Balamuta JJ.
PMID: 26608961
Psychometrika. 2015 Nov 25; doi: 10.1007/s11336-015-9484-7. Epub 2015 Nov 25.

This paper assesses the psychometric value of allowing test-takers choice in standardized testing. New theoretical results examine the conditions where allowing choice improves score precision. A hierarchical framework is presented for jointly modeling the accuracy of cognitive responses and...

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Culpepper SA, Balamuta JJ. A Hierarchical Model for Accuracy and Choice on Standardized Tests. Psychometrika. 2015;doi: 10.1007/s11336-015-9484-7.
Culpepper, S. A., & Balamuta, J. J. (2015). A Hierarchical Model for Accuracy and Choice on Standardized Tests. Psychometrika, . https://doi.org/10.1007/s11336-015-9484-7
Culpepper, Steven Andrew, and Balamuta, James Joseph. "A Hierarchical Model for Accuracy and Choice on Standardized Tests." Psychometrika vol. (2015). doi: https://doi.org/10.1007/s11336-015-9484-7
Culpepper SA, Balamuta JJ. A Hierarchical Model for Accuracy and Choice on Standardized Tests. Psychometrika. 2015 Nov 25; doi: 10.1007/s11336-015-9484-7. Epub 2015 Nov 25. PMID: 26608961.
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An Isotonic Partial Credit Model for Ordering Subjects on the Basis of Their Sum Scores.

Psychometrika

Ligtvoet R.
PMID: 27519777
Psychometrika. 2012 Jul;77(3):479-94. doi: 10.1007/s11336-012-9272-6. Epub 2012 May 17.

In practice, the sum of the item scores is often used as a basis for comparing subjects. For items that have more than two ordered score categories, only the partial credit model (PCM) and special cases of this model...

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Ligtvoet R. An Isotonic Partial Credit Model for Ordering Subjects on the Basis of Their Sum Scores. Psychometrika. 2012;77(3):479-94doi: 10.1007/s11336-012-9272-6.
Ligtvoet, R. (2012). An Isotonic Partial Credit Model for Ordering Subjects on the Basis of Their Sum Scores. Psychometrika, 77(3), 479-94. https://doi.org/10.1007/s11336-012-9272-6
Ligtvoet, Rudy. "An Isotonic Partial Credit Model for Ordering Subjects on the Basis of Their Sum Scores." Psychometrika vol. 77,3 (2012): 479-94. doi: https://doi.org/10.1007/s11336-012-9272-6
Ligtvoet R. An Isotonic Partial Credit Model for Ordering Subjects on the Basis of Their Sum Scores. Psychometrika. 2012 Jul;77(3):479-94. doi: 10.1007/s11336-012-9272-6. Epub 2012 May 17. PMID: 27519777.
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Functional Extended Redundancy Analysis.

Psychometrika

Hwang H, Suk HW, Lee JH, Moskowitz DS, Lim J.
PMID: 27519779
Psychometrika. 2012 Jul;77(3):524-42. doi: 10.1007/s11336-012-9268-2. Epub 2012 May 26.

We propose a functional version of extended redundancy analysis that examines directional relationships among several sets of multivariate variables. As in extended redundancy analysis, the proposed method posits that a weighed composite of each set of exogenous variables influences...

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Hwang H, Suk HW, Lee JH, et al. Functional Extended Redundancy Analysis. Psychometrika. 2012;77(3):524-42doi: 10.1007/s11336-012-9268-2.
Hwang, H., Suk, H. W., Lee, J. H., Moskowitz, D. S., & Lim, J. (2012). Functional Extended Redundancy Analysis. Psychometrika, 77(3), 524-42. https://doi.org/10.1007/s11336-012-9268-2
Hwang, Heungsun, et al. "Functional Extended Redundancy Analysis." Psychometrika vol. 77,3 (2012): 524-42. doi: https://doi.org/10.1007/s11336-012-9268-2
Hwang H, Suk HW, Lee JH, Moskowitz DS, Lim J. Functional Extended Redundancy Analysis. Psychometrika. 2012 Jul;77(3):524-42. doi: 10.1007/s11336-012-9268-2. Epub 2012 May 26. PMID: 27519779.
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On the Relation Between the Linear Factor Model and the Latent Profile Model.

Psychometrika

Halpin PF, Dolan CV, Grasman RP, De Boeck P.
PMID: 27519681
Psychometrika. 2011 Oct;76(4):564-83. doi: 10.1007/s11336-011-9230-8. Epub 2011 Oct 01.

The relationship between linear factor models and latent profile models is addressed within the context of maximum likelihood estimation based on the joint distribution of the manifest variables. Although the two models are well known to imply equivalent covariance...

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Halpin PF, Dolan CV, Grasman RP, et al. On the Relation Between the Linear Factor Model and the Latent Profile Model. Psychometrika. 2011;76(4):564-83doi: 10.1007/s11336-011-9230-8.
Halpin, P. F., Dolan, C. V., Grasman, R. P., & De Boeck, P. (2011). On the Relation Between the Linear Factor Model and the Latent Profile Model. Psychometrika, 76(4), 564-83. https://doi.org/10.1007/s11336-011-9230-8
Halpin, Peter F, et al. "On the Relation Between the Linear Factor Model and the Latent Profile Model." Psychometrika vol. 76,4 (2011): 564-83. doi: https://doi.org/10.1007/s11336-011-9230-8
Halpin PF, Dolan CV, Grasman RP, De Boeck P. On the Relation Between the Linear Factor Model and the Latent Profile Model. Psychometrika. 2011 Oct;76(4):564-83. doi: 10.1007/s11336-011-9230-8. Epub 2011 Oct 01. PMID: 27519681.
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The K-INDSCAL Model for Heterogeneous Three-Way Dissimilarity Data.

Psychometrika

Bocci L, Vichi M.
PMID: 27519687
Psychometrika. 2011 Oct;76(4):691-714. doi: 10.1007/s11336-011-9225-5. Epub 2011 Aug 20.

A weighted Euclidean distance model for analyzing three-way dissimilarity data (stimuli by stimuli by subjects) for heterogeneous subjects is proposed. First, it is shown that INDSCAL may fail to identify a common space representative of the observed data structure...

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Bocci L, Vichi M. The K-INDSCAL Model for Heterogeneous Three-Way Dissimilarity Data. Psychometrika. 2011;76(4):691-714doi: 10.1007/s11336-011-9225-5.
Bocci, L., & Vichi, M. (2011). The K-INDSCAL Model for Heterogeneous Three-Way Dissimilarity Data. Psychometrika, 76(4), 691-714. https://doi.org/10.1007/s11336-011-9225-5
Bocci, Laura, and Vichi, Maurizio. "The K-INDSCAL Model for Heterogeneous Three-Way Dissimilarity Data." Psychometrika vol. 76,4 (2011): 691-714. doi: https://doi.org/10.1007/s11336-011-9225-5
Bocci L, Vichi M. The K-INDSCAL Model for Heterogeneous Three-Way Dissimilarity Data. Psychometrika. 2011 Oct;76(4):691-714. doi: 10.1007/s11336-011-9225-5. Epub 2011 Aug 20. PMID: 27519687.
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Showing 1 to 12 of 297 entries