메뉴 건너뛰기




Volumn 37, Issue 2, 2012, Pages 231-255

The Generalized Multilevel Facets Model for Longitudinal Data

Author keywords

autocorrelation; facets models; item response theory; longitudinal data; Markov Chain Monte Carlo; multilevel models

Indexed keywords


EID: 84859408806     PISSN: 10769986     EISSN: None     Source Type: Journal    
DOI: 10.3102/1076998611402503     Document Type: Article
Times cited : (24)

References (45)
  • 3
    • 34547179509 scopus 로고    scopus 로고
    • Latent regression analysis based on the rating scale model
    • Andersen E.B.Latent regression analysis based on the rating scale model.Psychology Science. 2004;46:209-226.
    • (2004) Psychology Science , vol.46 , pp. 209-226
    • Andersen, E.B.1
  • 4
    • 34250274848 scopus 로고
    • A rating formulation for ordered response categories
    • Andrich D.A rating formulation for ordered response categories.Psychometrika. 1978;43:561-573.
    • (1978) Psychometrika , vol.43 , pp. 561-573
    • Andrich, D.1
  • 5
    • 0032390589 scopus 로고    scopus 로고
    • An investigation of the item parameter recovery characteristics of a Gibbs sampling approach
    • Baker F.B.An investigation of the item parameter recovery characteristics of a Gibbs sampling approach.Applied Psychological Measurement. 1998;22:153-169.
    • (1998) Applied Psychological Measurement , vol.22 , pp. 153-169
    • Baker, F.B.1
  • 7
    • 0035543525 scopus 로고    scopus 로고
    • MCMC estimation of multidimensional IRT models
    • Béguin A.A.,Glas C.A. W.MCMC estimation of multidimensional IRT models.Psychometrika. 2001;66:541-561.
    • (2001) Psychometrika , vol.66 , pp. 541-561
    • Béguin, A.A.1    Glas, C.A.W.2
  • 11
    • 0035534930 scopus 로고    scopus 로고
    • Bayesian estimation of a multilevel IRT model using Gibbs sampling
    • Fox J.P.,Glas C.A. W.Bayesian estimation of a multilevel IRT model using Gibbs sampling.Psychometrika. 2001;66:271-288.
    • (2001) Psychometrika , vol.66 , pp. 271-288
    • Fox, J.P.1    Glas, C.A.W.2
  • 13
    • 0001803816 scopus 로고    scopus 로고
    • Gilks W.R.Richardson S.Spiegelhalter D.J., ed., London: Chapman-Hall
    • Gelfand A.E.Markov Chain Monte Carlo in practice. Gilks W.R.Richardson S.Spiegelhalter D.J., ed. London: Chapman-Hall; 1996:145-161.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 145-161
    • Gelfand, A.E.1
  • 14
    • 84867086419 scopus 로고    scopus 로고
    • Prior distributions for variance parameters in hierarchical models
    • Gelman A.Prior distributions for variance parameters in hierarchical models.Bayesian Analysis. 2006;3:515-534.
    • (2006) Bayesian Analysis , vol.3 , pp. 515-534
    • Gelman, A.1
  • 16
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov chains and their applications
    • Hastings W.K.Monte Carlo sampling methods using Markov chains and their applications.Biometrika. 1970;57:97-109.
    • (1970) Biometrika , vol.57 , pp. 97-109
    • Hastings, W.K.1
  • 18
    • 0035532029 scopus 로고    scopus 로고
    • Item analysis by the hierarchical generalized linear model
    • Kamata A.Item analysis by the hierarchical generalized linear model.Journal of Educational Measurement. 2001;38:79-93.
    • (2001) Journal of Educational Measurement , vol.38 , pp. 79-93
    • Kamata, A.1
  • 19
    • 0002603162 scopus 로고
    • A Bayesian approach to confirmatory factor analysis
    • Lee S.A Bayesian approach to confirmatory factor analysis.Psychometrika. 1981;46:153-160.
    • (1981) Psychometrika , vol.46 , pp. 153-160
    • Lee, S.1
  • 21
    • 29144515624 scopus 로고    scopus 로고
    • Judging debacle in pairs figure skating
    • Linacre J.M.Judging debacle in pairs figure skating.Rasch Measurement Transactions. 2002;15:839-840.
    • (2002) Rasch Measurement Transactions , vol.15 , pp. 839-840
    • Linacre, J.M.1
  • 22
    • 33744665890 scopus 로고    scopus 로고
    • Generalized Gibbs sampler and multigrid Monte Carlo for Bayesian computation
    • Liu J.S.,Sabatti C.Generalized Gibbs sampler and multigrid Monte Carlo for Bayesian computation.Biometrika. 2000;87:353-369.
    • (2000) Biometrika , vol.87 , pp. 353-369
    • Liu, J.S.1    Sabatti, C.2
  • 25
    • 0000261668 scopus 로고
    • A Rasch model for partial credit scoring
    • Masters G.N.A Rasch model for partial credit scoring.Psychometrika. 1982;47:149-174.
    • (1982) Psychometrika , vol.47 , pp. 149-174
    • Masters, G.N.1
  • 28
    • 84976923244 scopus 로고
    • A generalized partial credit model: Application of an EM algorithm
    • Muraki E.A generalized partial credit model: Application of an EM algorithm.Applied Psychological Measurement. 1992;16:159-176.
    • (1992) Applied Psychological Measurement , vol.16 , pp. 159-176
    • Muraki, E.1
  • 29
    • 0033261632 scopus 로고    scopus 로고
    • Applications and extensions of MCMC in IRT: Multiple item types, missing data, and rated responses
    • Patz R.J.,Junker B.W.Applications and extensions of MCMC in IRT: Multiple item types, missing data, and rated responses.Journal of Educational and Behavioral Statistics. 1999a;24:342-366.
    • (1999) Journal of Educational and Behavioral Statistics , vol.24 , pp. 342-366
    • Patz, R.J.1    Junker, B.W.2
  • 30
    • 0033411905 scopus 로고    scopus 로고
    • A straightforward approach to Markov chain Monte Carlo methods for item response models
    • Patz R.J.,Junker B.W.A straightforward approach to Markov chain Monte Carlo methods for item response models.Journal of Educational and Behavioral Statistics. 1999b;24:146-178.
    • (1999) Journal of Educational and Behavioral Statistics , vol.24 , pp. 146-178
    • Patz, R.J.1    Junker, B.W.2
  • 31
    • 0000297493 scopus 로고    scopus 로고
    • Approximate Bayes factor and accounting for model uncertainty in generalized linear models
    • Raftery A.E.Approximate Bayes factor and accounting for model uncertainty in generalized linear models.Biometrika. 1996;83:251-266.
    • (1996) Biometrika , vol.83 , pp. 251-266
    • Raftery, A.E.1
  • 32
    • 0003769811 scopus 로고
    • Copenhagen: The Danish Institute of Educational Research. (Expanded edition, 1980. Chicago, IL: The University of Chicago Press)
    • Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen: The Danish Institute of Educational Research. (Expanded edition, 1980. Chicago, IL: The University of Chicago Press).
    • (1960) Probabilistic models for some intelligence and attainment tests
    • Rasch, G.1
  • 33
  • 34
    • 0033247467 scopus 로고    scopus 로고
    • Bayesian estimation and testing of structural equation models
    • Scheines R.,Hoijtink H.,Boomsma A.Bayesian estimation and testing of structural equation models.Psychometrika. 1999;64:37-52.
    • (1999) Psychometrika , vol.64 , pp. 37-52
    • Scheines, R.1    Hoijtink, H.2    Boomsma, A.3
  • 37
    • 0003541633 scopus 로고    scopus 로고
    • Cambridge: MRC Biostatistics Unit, Institute of Public Health. Retrieved from
    • Spiegelhalter, D. J., Thomas, A., Best, N., & Lunn, D. (2003). WinBUGS manual version 1.4. Cambridge: MRC Biostatistics Unit, Institute of Public Health. Retrieved from http://www.mrc-bsu.cam.ac.uk/bugs.
    • (2003) WinBUGS manual version 1.4
    • Spiegelhalter, D.J.1    Thomas, A.2    Best, N.3    Lunn, D.4
  • 40
    • 34547182453 scopus 로고    scopus 로고
    • Formulation and application of the generalized multilevel facets model
    • Wang W.C.,Liu C.Y.Formulation and application of the generalized multilevel facets model.Educational and Psychological Measurement. 2007;67:583-605.
    • (2007) Educational and Psychological Measurement , vol.67 , pp. 583-605
    • Wang, W.C.1    Liu, C.Y.2
  • 41
    • 22144470173 scopus 로고    scopus 로고
    • Exploring local item dependence using a random-effects facet model
    • Wang W. -C.,Wilson M.R.Exploring local item dependence using a random-effects facet model.Applied Psychological Measurement. 2005;29:296-318.
    • (2005) Applied Psychological Measurement , vol.29 , pp. 296-318
    • Wang W., -C.1    Wilson, M.R.2
  • 42
    • 0036377040 scopus 로고    scopus 로고
    • Recovery of item parameters in the nominal response model: A comparison of marginal maximum likelihood and Markov chain Monte Carlo estimation
    • Wollack J.A.,Bolt D.M.,Cohen A.S.,Lee Y.S.Recovery of item parameters in the nominal response model: A comparison of marginal maximum likelihood and Markov chain Monte Carlo estimation.Applied Psychological Measurement. 2002;26:337-350.
    • (2002) Applied Psychological Measurement , vol.26 , pp. 337-350
    • Wollack, J.A.1    Bolt, D.M.2    Cohen, A.S.3    Lee, Y.S.4
  • 44
  • 45
    • 0000992537 scopus 로고
    • A generalized Rasch model for manifest predictors
    • Zwinderman A.H.A generalized Rasch model for manifest predictors.Psychometrika. 1991;56:589-600.
    • (1991) Psychometrika , vol.56 , pp. 589-600
    • Zwinderman, A.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.