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Volumn 77, Issue 2, 2012, Pages 223-243

Identification of a Semiparametric Item Response Model

Author keywords

item response theory; nonparametric identification

Indexed keywords


EID: 84858450637     PISSN: 00333123     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11336-012-9253-9     Document Type: Article
Times cited : (10)

References (15)
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    • Birnbaum, A.1
  • 2
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    • Marginal maximum likelihood estimation of item parameters: An application of the EM algorithm
    • Bock, R. D., & Aitken, M. (1981). Marginal maximum likelihood estimation of item parameters: An application of the EM algorithm. Psychometrika, 6, 443-459.
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    • Bock, R.D.1    Aitken, M.2
  • 3
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    • Fitting a response curve model for dichotomously scored items
    • Bock, R. D., & Lieberman, M. (1970). Fitting a response curve model for dichotomously scored items. Psychometrika, 35, 179-198.
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    • Bock, R.D.1    Lieberman, M.2
  • 4
    • 0031526798 scopus 로고    scopus 로고
    • Joint consistency of nonparametric item characteristic curve and ability estimation
    • Douglas, J. A. (1997). Joint consistency of nonparametric item characteristic curve and ability estimation. Psychometrika, 62, 7-28.
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    • Douglas, J.A.1
  • 5
    • 0035543524 scopus 로고    scopus 로고
    • Asymptotic identifiability of nonparametric item response models
    • Douglas, J. A. (2001). Asymptotic identifiability of nonparametric item response models. Psychometrika, 66, 531-540.
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    • Douglas, J.A.1
  • 6
    • 0002275464 scopus 로고
    • The incidental parameters problem and the problem of initial conditions in estimating a discrete time-discrete data stochastic process and some Monte Carlo evidence
    • C. Manski and D. McFadden (Eds.), Cambridge: MIT Press
    • Heckman, J. (1981). The incidental parameters problem and the problem of initial conditions in estimating a discrete time-discrete data stochastic process and some Monte Carlo evidence. In C. Manski & D. McFadden (Eds.), Structural analysis of discrete data with econometric applications (pp. 179-195). Cambridge: MIT Press.
    • (1981) Structural Analysis of Discrete Data with Econometric Applications , pp. 179-195
    • Heckman, J.1
  • 7
    • 0000284439 scopus 로고
    • Consistency of the maximum likelihood estimator in the presence of infinitely many incidental parameters
    • Kiefer, J., & Wolfowitz, J. (1956). Consistency of the maximum likelihood estimator in the presence of infinitely many incidental parameters. Annals of Mathematical Statistics, 27, 887-906.
    • (1956) Annals of Mathematical Statistics , vol.27 , pp. 887-906
    • Kiefer, J.1    Wolfowitz, J.2
  • 9
    • 77952563837 scopus 로고    scopus 로고
    • Scaling the critics: Uncovering the latent dimensions of movie criticism
    • Peress, M., & Spirling, A. (2010). Scaling the critics: Uncovering the latent dimensions of movie criticism. Journal of the American Statistical Association, 105, 71-83.
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    • Peress, M.1    Spirling, A.2
  • 10
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    • Poole, K. T. (2000). Non-parametric unfolding of binary choice data. Political Analysis, 8, 211-237.
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    • Poole, K.T.1
  • 13
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    • Kernel smoothing approaches to nonparametric item characteristic curve estimation
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    • Ramsay, J.O.1
  • 15
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    • Methodology review: Nonparametric IRT approaches to the analysis of dichotomous item scores
    • Sijtsma, K. (1998). Methodology review: Nonparametric IRT approaches to the analysis of dichotomous item scores. Applied Psychological Measurement, 52, 79-97.
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    • Sijtsma, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.