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On the relationship between the higher-order factor model and the hierarchical factor model

Citations

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Cited by:

  1. Shelley H. Liu & Yitong Chen & Jordan R. Kuiper & Emily Ho & Jessie P. Buckley & Leah Feuerstahler, 2024. "Applying Latent Variable Models to Estimate Cumulative Exposure Burden to Chemical Mixtures and Identify Latent Exposure Subgroups: A Critical Review and Future Directions," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 16(2), pages 482-502, July.
  2. Abhijit Guha & Timna Bressgott & Dhruv Grewal & Dominik Mahr & Martin Wetzels & Elisa Schweiger, 2023. "How artificiality and intelligence affect voice assistant evaluations," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 843-866, July.
  3. Mark L. Davison & Seungwon Chung & Nidhi Kohli & Ernest C. Davenport, 2024. "A Multidimensional Model to Facilitate Within Person Comparison of Attributes," Psychometrika, Springer;The Psychometric Society, vol. 89(1), pages 296-316, March.
  4. ALMamari, Khalid & Al Siyabi, Mohamed & Al Shibli, Abdullah & AlAjmi, Abdullah, 2025. "Exploring the interplay of general and specific academic achievement in predicting college performance," Intelligence, Elsevier, vol. 109(C).
  5. Li Cai, 2015. "Lord–Wingersky Algorithm Version 2.0 for Hierarchical Item Factor Models with Applications in Test Scoring, Scale Alignment, and Model Fit Testing," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 535-559, June.
  6. Fu, Zhihui & Zhang, Xue & Tao, Jian, 2020. "Gibbs sampling using the data augmentation scheme for higher-order item response models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
  7. MacPherson, Sarah E. & Allerhand, Michael & Cox, Simon R. & Deary, Ian J., 2019. "Individual differences in cognitive processes underlying Trail Making Test-B performance in old age: The Lothian Birth Cohort 1936," Intelligence, Elsevier, vol. 75(C), pages 23-32.
  8. repec:jss:jstsof:34:i03 is not listed on IDEAS
  9. Yuqi Gu, 2024. "Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)," Psychometrika, Springer;The Psychometric Society, vol. 89(1), pages 118-150, March.
  10. Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria, 2020. "The ultrametric correlation matrix for modelling hierarchical latent concepts," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(4), pages 837-853, December.
  11. Minjeong Jeon & Frank Rijmen & Sophia Rabe-Hesketh, 2018. "CFA Models with a General Factor and Multiple Sets of Secondary Factors," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 785-808, December.
  12. Li Cai, 2010. "A Two-Tier Full-Information Item Factor Analysis Model with Applications," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 581-612, December.
  13. Sonnier, Garrett P. & Rutz, Oliver J. & Ward, Adrian F., 2023. "Estimating the effect of brand beliefs on brand evaluations when beliefs are measured with error," International Journal of Research in Marketing, Elsevier, vol. 40(3), pages 552-569.
  14. R. Maximilian Bee & Tobias Koch & Michael Eid, 2023. "A General Theorem and Proof for the Identification of Composed CFA Models," Psychometrika, Springer;The Psychometric Society, vol. 88(4), pages 1334-1353, December.
  15. Qiao, Jiawei & Chen, Yunxiao & Ying, Zhiliang, 2025. "Exact exploratory bi-factor analysis: a constraint-based optimization approach," LSE Research Online Documents on Economics 127955, London School of Economics and Political Science, LSE Library.
  16. Frank Rijmen & Minjeong Jeon & Matthias von Davier & Sophia Rabe-Hesketh, 2014. "A Third-Order Item Response Theory Model for Modeling the Effects of Domains and Subdomains in Large-Scale Educational Assessment Surveys," Journal of Educational and Behavioral Statistics, , vol. 39(4), pages 235-256, August.
  17. Emerson Roberto dos Santos & Marco Antonio Ribeiro Filho & Weslley dos Santos Borges & William Donegá Martinez & João Daniel de Souza Menezes & Matheus Querino da Silva & André Bavaresco Gonçalves Cri, 2025. "Resilience, Quality of Life, and Minor Mental Disorders in Nursing Professionals: A Study in Challenging Work Environments," IJERPH, MDPI, vol. 22(9), pages 1-27, August.
  18. Satomi Doi & Masaya Ito & Yoshitake Takebayashi & Kumiko Muramatsu & Masaru Horikoshi, 2018. "Factorial validity and invariance of the Patient Health Questionnaire (PHQ)-9 among clinical and non-clinical populations," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-9, July.
  19. Carlo Cavicchia & Maurizio Vichi, 2022. "Second-Order Disjoint Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 289-309, March.
  20. Wai, Jonathan & Lakin, Joni M. & Kell, Harrison J., 2022. "Specific cognitive aptitudes and gifted samples," Intelligence, Elsevier, vol. 92(C).
  21. Robert Jennrich & Peter Bentler, 2011. "Exploratory Bi-Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 76(4), pages 537-549, October.
  22. Sayed H. Kadhem & Aristidis K. Nikoloulopoulos, 2023. "Bi-factor and Second-Order Copula Models for Item Response Data," Psychometrika, Springer;The Psychometric Society, vol. 88(1), pages 132-157, March.
  23. Leigh McAlister & Garrett Sonnier & Tom Shively, 2012. "The relationship between online chatter and firm value," Marketing Letters, Springer, vol. 23(1), pages 1-12, March.
  24. Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria, 2023. "Hierarchical disjoint principal component analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(3), pages 537-574, September.
  25. Kano, Yutaka & Takai, Keiji, 2011. "Analysis of NMAR missing data without specifying missing-data mechanisms in a linear latent variate model," Journal of Multivariate Analysis, Elsevier, vol. 102(9), pages 1241-1255, October.
  26. Niels G. Waller, 2018. "Direct Schmid–Leiman Transformations and Rank-Deficient Loadings Matrices," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 858-870, December.
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