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

Bock, R. Darrell.; Schilling, Stephen - 2005

Although the Bock–Aitkin likelihood-based estimation method for factor analysis of dichotomous item response data has important advantages over classical analysis of item tetrachoric correlations, a serious limitation of the method is its reliance on fixed-point Gauss-Hermite (G-H) quadrature...

Persistent link: https://www.econbiz.de/10009476619

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

Schilling, Stephen; Bock, R. Darrell. - 2005

Although the Bock–Aitkin likelihood-based estimation method for factor analysis of dichotomous item response data has important advantages over classical analysis of item tetrachoric correlations, a serious limitation of the method is its reliance on fixed-point Gauss-Hermite (G-H) quadrature...

Persistent link: https://www.econbiz.de/10009476754

Estimating latent distributions

Mislevy, Robert - In: Psychometrika 49 (1984) 3, pp. 359-381

Persistent link: https://www.econbiz.de/10005184142

On the Bock-Aitkin procedure—From an EM algorithm perspective

Hsu, Yaowen - In: Psychometrika 65 (2000) 4, pp. 547-549

Persistent link: https://www.econbiz.de/10005603584

Modeling item responses when different subjects employ different solution strategies

Mislevy, Robert; Verhelst, Norman - In: Psychometrika 55 (1990) 2, pp. 195-215

Persistent link: https://www.econbiz.de/10005603730

Marginal maximum likelihood estimation for a psychometric model of discontinuous development

Mislevy, Robert; Wilson, Mark - In: Psychometrika 61 (1996) 1, pp. 41-71

Persistent link: https://www.econbiz.de/10005612728

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

Schilling, Stephen; Bock, R. - In: Psychometrika 70 (2005) 3, pp. 533-555

Persistent link: https://www.econbiz.de/10005757917

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