A Multidimensional Model to Facilitate Within Person Comparison of Attributes
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DOI: 10.1007/s11336-023-09946-1
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- 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.
- Ben Domingue, 2014. "Evaluating the Equal-Interval Hypothesis with Test Score Scales," Psychometrika, Springer;The Psychometric Society, vol. 79(1), pages 1-19, January.
- 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.
- Yoshio Takane & Jan Leeuw, 1987. "On the relationship between item response theory and factor analysis of discretized variables," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 393-408, September.
- Eric Bradlow & Howard Wainer & Xiaohui Wang, 1999. "A Bayesian random effects model for testlets," Psychometrika, Springer;The Psychometric Society, vol. 64(2), pages 153-168, June.
- H. Brogden, 1977. "The rasch model, the law of comparative judgment and additive conjoint measurement," Psychometrika, Springer;The Psychometric Society, vol. 42(4), pages 631-634, December.
- 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.
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Keywords
structural equation modeling; item response theory; psychological measurement; educational measurement; latent variable modeling; additive conjoint measurement; quality of life;All these keywords.
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