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High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature

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Author Info
Stephen Schilling ()
R. Bock
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File URL: http://hdl.handle.net/10.1007/s11336-003-1141-x
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Publisher Info
Article provided by Springer in its journal Psychometrika.

Volume (Year): 70 (2005)
Issue (Month): 3 (September)
Pages: 533-555
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Handle: RePEc:spr:psycho:v:70:y:2005:i:3:p:533-555

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Related research
Keywords: factor analysis item response theory latent variables EM algorithm marginal likelihood estimation GLS estimation adaptive quadrature monte carlo integration

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2002. "Reliable estimation of generalized linear mixed models using adaptive quadrature," Stata Journal, StataCorp LP, vol. 2(1), pages 1-21, February. [Downloadable!]
  2. Rabe-Hesketh, Sophia & Skrondal, Anders & Pickles, Andrew, 2005. "Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects," Journal of Econometrics, Elsevier, vol. 127(2), pages 301-323, October. [Downloadable!] (restricted)
  3. George Ferguson, 1941. "The factorial interpretation of test difficulty," Psychometrika, Springer, vol. 6(5), pages 323-329, October. [Downloadable!] (restricted)
  4. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer, vol. 23(3), pages 187-200, September. [Downloadable!] (restricted)
  5. J. Guilford, 1941. "The difficulty of a test and its factor composition," Psychometrika, Springer, vol. 6(2), pages 67-77, April. [Downloadable!] (restricted)
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