메뉴 건너뛰기




Volumn 28, Issue 4, 2003, Pages 369-386

Cross-Classification Multilevel Logistic Models in Psychometrics

Author keywords

Crossed random effects; Item response theory; Logistic mixed models; Multilevel models

Indexed keywords


EID: 1642346230     PISSN: 10769986     EISSN: None     Source Type: Journal    
DOI: 10.3102/10769986028004369     Document Type: Article
Times cited : (85)

References (35)
  • 1
    • 0031517325 scopus 로고    scopus 로고
    • Multilevel item response models: An approach to errors in variables regression
    • Adams, R. J., Wilson, M., & Wu, M. (1997). Multilevel item response models: An approach to errors in variables regression. Journal of Educational and Behavioral Statistics, 22, 47-76.
    • (1997) Journal of Educational and Behavioral Statistics , vol.22 , pp. 47-76
    • Adams, R.J.1    Wilson, M.2    Wu, M.3
  • 2
    • 0001670658 scopus 로고
    • Some latent trait models and their use in inferring an examinee's ability
    • F. Lord, & M. R. Novick (Eds.). Reading, MA: Addison-Wesley
    • Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee's ability. In F. Lord, & M. R. Novick (Eds.), Statistical theories of mental test scores (pp. 397-472). Reading, MA: Addison-Wesley.
    • (1968) Statistical Theories of Mental Test Scores , pp. 397-472
    • Birnbaum, A.1
  • 3
    • 0000433590 scopus 로고
    • Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm
    • Bock, R. D., & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm. Psychometrika, 46, 443-459.
    • (1981) Psychometrika , vol.46 , pp. 443-459
    • Bock, R.D.1    Aitkin, M.2
  • 6
    • 0030539336 scopus 로고    scopus 로고
    • Markov Chain Monte Carlo convergence diagnostics: A comparative review
    • Cowles, K., & Carlin, B. P. (1996). Markov Chain Monte Carlo convergence diagnostics: A comparative review. Journal of the American Statistical Association, 91, 883-904.
    • (1996) Journal of the American Statistical Association , vol.91 , pp. 883-904
    • Cowles, K.1    Carlin, B.P.2
  • 8
    • 0015738609 scopus 로고
    • The linear logistic test model as an instrument in educational research
    • Fisher, G. H. (1973). The linear logistic test model as an instrument in educational research. Acta Psychologica, 37, 359-374.
    • (1973) Acta Psychologica , vol.37 , pp. 359-374
    • Fisher, G.H.1
  • 9
    • 0003181216 scopus 로고
    • Logistic latent trait models with linear constraints
    • Fisher, G. H. (1983). Logistic latent trait models with linear constraints. Psychometrika, 48, 3-26.
    • (1983) Psychometrika , vol.48 , pp. 3-26
    • Fisher, G.H.1
  • 13
    • 0008362591 scopus 로고
    • Multilevel covariance components models
    • Goldstein, H. (1987). Multilevel covariance components models. Biometrika, 74, 430-431.
    • (1987) Biometrika , vol.74 , pp. 430-431
    • Goldstein, H.1
  • 20
    • 0035532029 scopus 로고    scopus 로고
    • Item analysis by the hierarchical generalized linear model
    • Kamata, A. (2001). Item analysis by the hierarchical generalized linear model. Journal of Educational Measurement, 38, 79-93.
    • (2001) Journal of Educational Measurement , vol.38 , pp. 79-93
    • Kamata, A.1
  • 22
    • 0033411905 scopus 로고    scopus 로고
    • A straightforward approach to Markov Chain Monte Carlo methods for item response models
    • Patz, R. J., & Junker, B. W. (1999). A straightforward approach to Markov Chain Monte Carlo methods for item response models. Journal of Educational and Behavioral Statistics, 24, 146-178.
    • (1999) Journal of Educational and Behavioral Statistics , vol.24 , pp. 146-178
    • Patz, R.J.1    Junker, B.W.2
  • 23
    • 0001605592 scopus 로고
    • Efficient analysis of mixed hierarchical and cross-classified random structures using a multilevel model
    • Rasbash, J., & Goldstein, H. (1994). Efficient analysis of mixed hierarchical and cross-classified random structures using a multilevel model. Journal of Educational and Behavioral Statistics, 19, 337-350.
    • (1994) Journal of Educational and Behavioral Statistics , vol.19 , pp. 337-350
    • Rasbash, J.1    Goldstein, H.2
  • 25
    • 0001585474 scopus 로고
    • A crossed random effects model for unbalanced data with applications in cross-sectional and longitudinal research
    • Raudenbush, S. W. (1993). A crossed random effects model for unbalanced data with applications in cross-sectional and longitudinal research. Journal of Educational Statistics, 18, 321-349.
    • (1993) Journal of Educational Statistics , vol.18 , pp. 321-349
    • Raudenbush, S.W.1
  • 27
    • 4243757425 scopus 로고
    • An assessment of estimation procedures for multi-level models with binary responses
    • Rodriguez, G., & Goldman, N. (1995). An assessment of estimation procedures for multi-level models with binary responses. Journal of the Royal Statistical Society, Series A, 158, 73-90.
    • (1995) Journal of the Royal Statistical Society, Series A , vol.158 , pp. 73-90
    • Rodriguez, G.1    Goldman, N.2
  • 30
    • 84950758368 scopus 로고
    • The calculation of posterior distribution by data augmentation [with discussion]
    • Tanner, M. A., & Wong, W. H. (1987). The calculation of posterior distribution by data augmentation [with discussion]. Journal of the American Statistical Association, 82, 528-550.
    • (1987) Journal of the American Statistical Association , vol.82 , pp. 528-550
    • Tanner, M.A.1    Wong, W.H.2
  • 31
    • 0034335660 scopus 로고    scopus 로고
    • A Rasch model for learning while solving an intelligence test
    • Verguts, T., & De Boeck, P. (2000). A Rasch model for learning while solving an intelligence test. Applied Psychological Measurement, 24, 51-73.
    • (2000) Applied Psychological Measurement , vol.24 , pp. 51-73
    • Verguts, T.1    De Boeck, P.2
  • 32
    • 21144468320 scopus 로고
    • A dynamic generalization of the Rasch model
    • Verhelst, N. D., & Glas, C. A. W. (1993). A dynamic generalization of the Rasch model. Psychometrika, 58, 395-415.
    • (1993) Psychometrika , vol.58 , pp. 395-415
    • Verhelst, N.D.1    Glas, C.A.W.2
  • 34
    • 0342851431 scopus 로고
    • Multilevel item response models
    • R. Prosser, J. Rasbash, & H. Goldstein (Eds.), London, UK: Institute of Education
    • Woodhouse, G. (1991). Multilevel item response models. In R. Prosser, J. Rasbash, & H. Goldstein (Eds.), Data analysis with ML3 (pp. 19-43). London, UK: Institute of Education.
    • (1991) Data Analysis with ML3 , pp. 19-43
    • Woodhouse, G.1
  • 35
    • 0000992537 scopus 로고
    • A generalized Rasch model for manifest predictors
    • Zwinderman, A. H. (1991). A generalized Rasch model for manifest predictors. Psychometrika, 56, 589-600.
    • (1991) Psychometrika , vol.56 , pp. 589-600
    • Zwinderman, A.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.