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Volumn 67, Issue 6, 2007, Pages 899-919

Comparing multiunidimensional and unidimensional item response theory models

Author keywords

Bayesian model choice; Item response theory; Markov chain Monte Carlo; Multiunidimensional model; Unidimensional model

Indexed keywords


EID: 36148940569     PISSN: 00131644     EISSN: 15523888     Source Type: Journal    
DOI: 10.1177/0013164406296977     Document Type: Article
Times cited : (61)

References (31)
  • 1
    • 84965673610 scopus 로고
    • Unidimensional IRT calibration of compensatory and noncompensatory items
    • Ackerman, T.A. (1989). Unidimensional IRT calibration of compensatory and noncompensatory items. Applied Psychological Measurement, 13, 113-127.
    • (1989) Applied Psychological Measurement , vol.13 , pp. 113-127
    • Ackerman, T.A.1
  • 3
    • 0001248506 scopus 로고
    • Bayesian estimation of normal ogive item response curves using Gibbs sampling
    • Albert, J.H. (1992). Bayesian estimation of normal ogive item response curves using Gibbs sampling. Journal of Educational Statistics, 17, 251-269.
    • (1992) Journal of Educational Statistics , vol.17 , pp. 251-269
    • Albert, J.H.1
  • 5
    • 0035543525 scopus 로고    scopus 로고
    • MCMC estimation and some model-fit analysis of multidimensional IRT models
    • Bguin, A.A., & Glas, C.A.W. (2001). MCMC estimation and some model-fit analysis of multidimensional IRT models. Psychometrika, 66, 541-562.
    • (2001) Psychometrika , vol.66 , pp. 541-562
    • Bguin, A.A.1    Glas, C.A.W.2
  • 6
    • 0001670658 scopus 로고
    • The logistic test model
    • F. Lord & M. Novick (Eds.), Reading, MA: Addison-Wesley.
    • Birnbaum, A. (1968). The logistic test model. In F. Lord & M. Novick (Eds.), Statistical theories of mental test scores (pp. 397-423). Reading, MA: Addison-Wesley.
    • (1968) Statistical Theories of Mental Test Scores , pp. 397-423
    • Birnbaum, A.1
  • 7
    • 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
  • 8
    • 0032273615 scopus 로고    scopus 로고
    • General methods for monitoring convergence of iterative simulations. Journal of
    • Brooks, S.P., & Gelman, A. (1998). General methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics, 7, 434-455.
    • (1998) Computational and Graphical Statistics , vol.7 , pp. 434-455
    • Brooks, S.P.1    Gelman, A.2
  • 10
    • 0032367305 scopus 로고    scopus 로고
    • Assessing the dimensionality of item response matrices with small sample sizes and short test lengths
    • De Champlain, A.F., & Gessaroli, M.E. (1998). Assessing the dimensionality of item response matrices with small sample sizes and short test lengths. Applied Measurement in Education, 11, 231-253.
    • (1998) Applied Measurement in Education , vol.11 , pp. 231-253
    • De Champlain, A.F.1    Gessaroli, M.E.2
  • 11
    • 84965566896 scopus 로고
    • Adaptive estimation when the unidimensionality assumption of IRT is violated
    • Folk, V.G., & Green, B.F. (1989). Adaptive estimation when the unidimensionality assumption of IRT is violated. Applied Psychological Measurement, 13, 373-389.
    • (1989) Applied Psychological Measurement , vol.13 , pp. 373-389
    • Folk, V.G.1    Green, B.F.2
  • 13
    • 0030170743 scopus 로고    scopus 로고
    • Using an approximate chi-square statistic to test the number of dimensions underlying the responses to a set of items
    • Gessaroli, M.E., & De Champlain, A.F. (1996). Using an approximate chi-square statistic to test the number of dimensions underlying the responses to a set of items. Journal of Educational Measurement, 33, 157-179.
    • (1996) Journal of Educational Measurement , vol.33 , pp. 157-179
    • Gessaroli, M.E.1    De Champlain, A.F.2
  • 16
    • 85032068371 scopus 로고
    • Methodology review: Assessing unidimensionality of tests and items
    • Hattie, J. (1985). Methodology review: Assessing unidimensionality of tests and items. Applied Psychological Measurement, 9, 139-164.
    • (1985) Applied Psychological Measurement , vol.9 , pp. 139-164
    • Hattie, J.1
  • 18
    • 0040655766 scopus 로고    scopus 로고
    • A multidimensional item response model: Constrained latent class analysis using the Gibbs sampler and posterior predictive checks
    • Hoijtink, H., & Molenaar, I.W. (1997). A multidimensional item response model: Constrained latent class analysis using the Gibbs sampler and posterior predictive checks. Psychometrika, 62, 171-189.
    • (1997) Psychometrika , vol.62 , pp. 171-189
    • Hoijtink, H.1    Molenaar, I.W.2
  • 19
    • 33744655205 scopus 로고
    • Markov Chain Monte Carlo Methods for Estimating Multidimensional Ability in Item Response Analysis
    • University of Missouri
    • Lee, H. (1995). Markov chain Monte Carlo methods for estimating multidimensional ability in item response analysis. Unpublished doctoral dissertation, University of Missouri, Columbia.
    • (1995) Columbia
    • Lee, H.1
  • 22
    • 33845406697 scopus 로고
    • Opinion-attitude methodology
    • McNemar, Q. (1946). Opinion-attitude methodology. Psychological Bulletin, 43, 289-374.
    • (1946) Psychological Bulletin , vol.43 , pp. 289-374
    • McNemar, Q.1
  • 23
    • 34250131877 scopus 로고
    • Bayes modal estimation in item response models
    • Mislevy, R.J. (1986). Bayes modal estimation in item response models. Psychometrika, 51, 177-195.
    • (1986) Psychometrika , vol.51 , pp. 177-195
    • Mislevy, R.J.1
  • 24
    • 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
  • 25
    • 0031490684 scopus 로고    scopus 로고
    • The past and future of multidimensional item response theory
    • Reckase, M.D. (1997). The past and future of multidimensional item response theory. Applied Psychological Measurement, 21, 25-36.
    • (1997) Applied Psychological Measurement , vol.21 , pp. 25-36
    • Reckase, M.D.1
  • 27
    • 30344469096 scopus 로고    scopus 로고
    • Assessing fit of unidimensional item response models using a Bayesian approach
    • Sinharay, S. (2005). Assessing fit of unidimensional item response models using a Bayesian approach. Journal of Educational Measurement, 42, 375-394.
    • (2005) Journal of Educational Measurement , vol.42 , pp. 375-394
    • Sinharay, S.1
  • 29
    • 0037290204 scopus 로고    scopus 로고
    • Posterior predictive model checking in hierarchical models. Journal of Statistical
    • Sinharay, S., & Stern, H.S. (2003). Posterior predictive model checking in hierarchical models. Journal of Statistical Planning and Inference, 111, 209-221.
    • (2003) Planning and Inference , vol.111 , pp. 209-221
    • Sinharay, S.1    Stern, H.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.