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Volumn 15, Issue 1, 2006, Pages 97-123

Item response theory for longitudinal data: Item and population ability parameters estimation

Author keywords

Binary response; Covariance structures; Logistic model; Multivariate latent distribution; Repeated measure

Indexed keywords


EID: 33646682831     PISSN: 11330686     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02595420     Document Type: Article
Times cited : (6)

References (19)
  • 1
    • 18744415159 scopus 로고    scopus 로고
    • Item response theory for longitudinal data: Population parameter estimation
    • ANDRADE, D. F. and TAVARES, H. R. (2005). Item response theory for longitudinal data: population parameter estimation. Journal of Multivariate Analysis, 95:1-22.
    • (2005) Journal of Multivariate Analysis , vol.95 , pp. 1-22
    • Andrade, D.F.1    Tavares, H.R.2
  • 4
    • 0000433590 scopus 로고
    • Marginal maximum likelihood estimation of item parameters: An application of a em algorithm
    • BOCK, R. D. and AITKIN, M. (1981). Marginal maximum likelihood estimation of item parameters: An application of a EM algorithm. Psychometrika, 46:433-459.
    • (1981) Psychometrika , vol.46 , pp. 433-459
    • Bock, R.D.1    Aitkin, M.2
  • 5
    • 0002734470 scopus 로고    scopus 로고
    • Multiple group IRT
    • W. J. Van der Linder and R. K. Hambleton, eds., Springer-Ver lag, New York
    • BOCK, R. D. and ZIMOWSKI, M. F. (1997). Multiple group IRT. In W. J. Van der Linder and R. K. Hambleton, eds., Handbook of Modern Item Response Theory. Springer-Ver lag, New York.
    • (1997) Handbook of Modern Item Response Theory
    • Bock, R.D.1    Zimowski, M.F.2
  • 11
    • 0035534930 scopus 로고    scopus 로고
    • Bayesian estimation of a multilevel IRT model using Gibbs sampling
    • Fox, J. P. and GLAS, C. A. W. (2001). Bayesian estimation of a multilevel IRT model using Gibbs sampling. Psychometrika, 66:271-288.
    • (2001) Psychometrika , vol.66 , pp. 271-288
    • Fox, J.P.1    Glas, C.A.W.2
  • 15
    • 0020333131 scopus 로고
    • Random-effects models for longitudinal data
    • LAIRD, N. M. and WARE, J. H. (1982). Random-effects models for longitudinal data. Biometrics, 38:963-974.
    • (1982) Biometrics , vol.38 , pp. 963-974
    • Laird, N.M.1    Ware, J.H.2
  • 17
    • 70350346303 scopus 로고    scopus 로고
    • Analysis of longitudinal data
    • P. K. Sen and C. R. Rao, eds., Bio-Environmental and Public Health Statistics North-Holland, Amsterdam
    • SINGER, J. M. and ANDRADE, D. F. (2000). Analysis of longitudinal data. In P. K. Sen and C. R. Rao, eds., Bio-Environmental and Public Health Statistics, Vol. 18 of Handbook of Statistics, pp. 115-160. North-Holland, Amsterdam.
    • (2000) Handbook of Statistics , vol.18 , pp. 115-160
    • Singer, J.M.1    Andrade, D.F.2
  • 19
    • 33646698086 scopus 로고    scopus 로고
    • Item response theory for longitudinal data: Item parameter estimation
    • Department of Statistics, University of São Paulo, São Paulo, Brazil
    • TAVARES, H. R. and ANDRADE, D. F. (2001). Item response theory for longitudinal data: Item parameter estimation. Technical report, Department of Statistics, University of São Paulo, São Paulo, Brazil.
    • (2001) Technical Report
    • Tavares, H.R.1    Andrade, D.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.