IDEAS home Printed from https://ideas.repec.org/r/spr/psycho/v2y1937i1p41-54.html
   My bibliography  Save this item

The Bi-factor method

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Yiu-Fai Yung & David Thissen & Lori McLeod, 1999. "On the relationship between the higher-order factor model and the hierarchical factor model," Psychometrika, Springer;The Psychometric Society, vol. 64(2), pages 113-128, June.
  2. Kan, Kees-Jan & van der Maas, Han L.J. & Levine, Stephen Z., 2019. "Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?," Intelligence, Elsevier, vol. 73(C), pages 52-62.
  3. Vanderleia Martins Lohn & Rafael Tezza & Graziela Dias Alperstedt & Lucila M. S. Campos, 2017. "Future Professionals: A Study of Sustainable Behavior," Sustainability, MDPI, vol. 9(3), pages 1-15, March.
  4. Gabriele Fiorentini & Alessandro Galesi & Enrique Sentana, 2016. "Fast ML Estimation of Dynamic Bifactor Models: An Application to European Inflation," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 215-282, Emerald Group Publishing Limited.
  5. Stanley Mulaik, 1986. "Factor analysis and Psychometrika: Major developments," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 23-33, March.
  6. Nana Kim & Daniel M. Bolt & James Wollack, 2022. "Noncompensatory MIRT For Passage-Based Tests," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 992-1009, September.
  7. Birol Akkuş & Tom Postmes & Katherine Stroebe, 2017. "Community Collectivism: A social dynamic approach to conceptualizing culture," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-29, September.
  8. 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.
  9. Lucía de Hoyos & Maria T. Barendse & Fenja Schlag & Marjolein M. J. van Donkelaar & Ellen Verhoef & Chin Yang Shapland & Alexander Klassmann & Jan Buitelaar & Brad Verhulst & Simon E. Fisher & Dheeraj, 2024. "Structural models of genome-wide covariance identify multiple common dimensions in autism," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  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. Wilhelm, Oliver & Kyllonen, Patrick, 2021. "To predict the future, consider the past: Revisiting Carroll (1993) as a guide to the future of intelligence research," Intelligence, Elsevier, vol. 89(C).
  12. Minjeong Jeon & Frank Rijmen & Sophia Rabe-Hesketh, 2013. "Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model," Journal of Educational and Behavioral Statistics, , vol. 38(1), pages 32-60, February.
  13. Howard Wainer, 2010. "14 Conversations About Three Things," Journal of Educational and Behavioral Statistics, , vol. 35(1), pages 5-25, February.
  14. Sonja Kumlander & Oskari Lahtinen & Tiina Turunen & Christina Salmivalli, 2018. "Two is more valid than one, but is six even better? The factor structure of the Self-Compassion Scale (SCS)," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-22, December.
  15. Michela Gnaldi, 2017. "A multidimensional IRT approach for dimensionality assessment of standardised students’ tests in mathematics," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1167-1182, May.
  16. Terrance Savitsky & Daniel McCaffrey, 2014. "Bayesian Hierarchical Multivariate Formulation with Factor Analysis for Nested Ordinal Data," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 275-302, April.
  17. Rockstuhl, Thomas & Van Dyne, Linn, 2018. "A bi-factor theory of the four-factor model of cultural intelligence: Meta-analysis and theoretical extensions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 148(C), pages 124-144.
  18. Wagner, Helga & Frühwirth-Schnatter, Sylvia & Jacobi, Liana, 2023. "Factor-augmented Bayesian treatment effects models for panel outcomes," Econometrics and Statistics, Elsevier, vol. 28(C), pages 63-80.
  19. Victoria T. Tanaka & George Engelhard & Matthew P. Rabbitt, 2020. "Using a Bifactor Model to Measure Food Insecurity in Households with Children," Journal of Family and Economic Issues, Springer, vol. 41(3), pages 492-504, September.
  20. Robert Jennrich & Peter Bentler, 2012. "Exploratory Bi-factor Analysis: The Oblique Case," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 442-454, July.
  21. Hua, Lei & Joe, Harry, 2017. "Multivariate dependence modeling based on comonotonic factors," Journal of Multivariate Analysis, Elsevier, vol. 155(C), pages 317-333.
  22. Katherine Stroebe & Tom Postmes & Susanne Täuber & Alwin Stegeman & Melissa-Sue John, 2015. "Belief in a Just What? Demystifying Just World Beliefs by Distinguishing Sources of Justice," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-30, March.
  23. Jiaxi Zhang & Meng Cui & Wei Wang & Huijie Lu & Qing Wu & Xia Zhu & Danmin Miao & Yan Zhang & Xi Feng & Wei Xiao, 2014. "The Coexistence of Coping Resources and Specific Coping Styles in Stress: Evidence from Full Information Item Bifactor Analysis," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-11, May.
  24. Elena A. Erosheva & S. McKay Curtis, 2017. "Dealing with Reflection Invariance in Bayesian Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 295-307, June.
  25. Robert Jennrich & Peter Bentler, 2011. "Exploratory Bi-Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 76(4), pages 537-549, October.
  26. Michael Edwards, 2010. "A Markov Chain Monte Carlo Approach to Confirmatory Item Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 75(3), pages 474-497, September.
  27. Daniel Segall, 2001. "General ability measurement: An application of multidimensional item response theory," Psychometrika, Springer;The Psychometric Society, vol. 66(1), pages 79-97, March.
  28. Rainer W Alexandrowicz & Rebecca Jahn & Johannes Wancata, 2018. "Assessing the dimensionality of the CES-D using multi-dimensional multi-level Rasch models," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-19, May.
  29. 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.
  30. Krupskii, Pavel & Joe, Harry, 2015. "Structured factor copula models: Theory, inference and computation," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 53-73.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.