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Volumn , Issue , 2011, Pages 531-546

MCMC in educational research

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EID: 85047046928     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter
Times cited : (6)

References (73)
  • 1
    • 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
  • 4
    • 0036011444 scopus 로고    scopus 로고
    • Heterogeneous factor analysis models: A Bayesian approach
    • Ansari, A., Jedidi, K., and Dube, L. 2002. Heterogeneous factor analysis models: A Bayesian approach. Psychometrika, 67:49-78
    • (2002) Psychometrika , vol.67 , pp. 49-78
    • Ansari, A.1    Jedidi, K.2    Dube, L.3
  • 5
    • 0032329779 scopus 로고    scopus 로고
    • A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the Metropolis-Hastings algorithm
    • Arminger, G. and Muthén, B. O. 1998. A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the Metropolis-Hastings algorithm. Psychometrika, 63:271-300
    • (1998) Psychometrika , vol.63 , pp. 271-300
    • Arminger, G.1    Muthén, B.O.2
  • 7
    • 0035543525 scopus 로고    scopus 로고
    • MCMC estimation and some model-fit analysis of multidimensional IRT models
    • Béguin, A. A. and 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
    • Béguin, A.A.1    Glas, C.A.W.2
  • 8
    • 85084890087 scopus 로고    scopus 로고
    • Data and data analysis
    • D. C. Berliner and R. C. Calfee, (eds) Macmillan, New York
    • Behrens, J. T. and Smith, M. L. 1996. Data and data analysis. In D. C. Berliner and R. C. Calfee (eds), Handbook of Educational Psychology, pp. 949-989. Macmillan, New York
    • (1996) Handbook of Educational Psychology , pp. 949-989
    • Behrens, J.T.1    Smith, M.L.2
  • 10
    • 0036408331 scopus 로고    scopus 로고
    • Latent variables in psychology and the social sciences
    • Bollen, K. A. 2002. Latent variables in psychology and the social sciences. Annual Review of Psychology, 53:605-634
    • (2002) Annual Review of Psychology , vol.53 , pp. 605-634
    • Bollen, K.A.1
  • 12
    • 0345149832 scopus 로고    scopus 로고
    • Estimation of compensatory and noncompensatory multidimensional item response models using Markov chain Monte Carlo
    • Bolt, D. M. and Lall, V. F. 2003. Estimation of compensatory and noncompensatory multidimensional item response models using Markov chain Monte Carlo. Applied Psychological Measurement, 27:395-414
    • (2003) Applied Psychological Measurement , vol.27 , pp. 395-414
    • Bolt, D.M.1    Lall, V.F.2
  • 13
    • 0033239554 scopus 로고    scopus 로고
    • A Bayesian random effects model for testlets
    • Bradlow, E. T., Wainer, H., and Wang, X. 1999. A Bayesian random effects model for testlets. Psychometrika, 64:153-168
    • (1999) Psychometrika , vol.64 , pp. 153-168
    • Bradlow, E.T.1    Wainer, H.2    Wang, X.3
  • 14
    • 85059399085 scopus 로고    scopus 로고
    • Survey design issues
    • L. V. Jones and I. Olkin, (eds) Phi Delta Kappa Educational Foundation, Bloomington, IN
    • Chromy, J. R., Finkner, A. L., and Horvitz, D. G. 2004. Survey design issues. In L. V. Jones and I. Olkin (eds), The Nation's Report Card: Evolution and Perspectives, pp. 383-427. Phi Delta Kappa Educational Foundation, Bloomington, IN
    • (2004) The Nation's Report Card: Evolution and Perspectives , pp. 383-427
    • Chromy, J.R.1    Finkner, A.L.2    Horvitz, D.G.3
  • 15
    • 33748792000 scopus 로고    scopus 로고
    • Latent class logistic regression: Application to marijuana use and attitudes among high school seniors
    • Chung, H., Flaherty, B. P., and Schafer, J. L. 2006. Latent class logistic regression: Application to marijuana use and attitudes among high school seniors. Journal of the Royal Statistical Society, Series A, 169:723-743
    • (2006) Journal of the Royal Statistical Society, Series A , vol.169 , pp. 723-743
    • Chung, H.1    Flaherty, B.P.2    Schafer, J.L.3
  • 16
    • 21644481766 scopus 로고    scopus 로고
    • A mixture model analysis of differential item functioning
    • Cohen, A. S. and Bolt, D. M. 2005. A mixture model analysis of differential item functioning. Journal of Educational Measurement, 42:133-148
    • (2005) Journal of Educational Measurement , vol.42 , pp. 133-148
    • Cohen, A.S.1    Bolt, D.M.2
  • 17
    • 12344281031 scopus 로고    scopus 로고
    • Higher-order latent trait models for cognitive diagnosis
    • de la Torre, J. and Douglas, J. 2004. Higher-order latent trait models for cognitive diagnosis. Psychometrika, 69:333-353
    • (2004) Psychometrika , vol.69 , pp. 333-353
    • de la Torre, J.1    Douglas, J.2
  • 18
    • 21844484840 scopus 로고
    • Inference and hierarchical modeling in the social sciences
    • Draper, D. 1995. Inference and hierarchical modeling in the social sciences. Journal of Educational and Behavioral Statistics, 20:115-147
    • (1995) Journal of Educational and Behavioral Statistics , vol.20 , pp. 115-147
    • Draper, D.1
  • 19
    • 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
  • 22
    • 0002100348 scopus 로고
    • Primary, secondary, and meta-analysis of research
    • Glass, G. V. 1976. Primary, secondary, and meta-analysis of research. Educational Researcher, 5:3-8
    • (1976) Educational Researcher , vol.5 , pp. 3-8
    • Glass, G.V.1
  • 24
    • 0004125042 scopus 로고
    • 2nd edn. Lawrence Erlbaum Associates, Hillsdale, NJ
    • Gorsuch, R. L. 1983. Factor Analysis, 2nd edn. Lawrence Erlbaum Associates, Hillsdale, NJ
    • (1983) Factor Analysis
    • Gorsuch, R.L.1
  • 27
    • 0032382315 scopus 로고    scopus 로고
    • Constrained latent class analysis using the Gibbs sampler and posterior predictive p-values: Applications to educational testing
    • Hoijtink, H. 1998. Constrained latent class analysis using the Gibbs sampler and posterior predictive p-values: Applications to educational testing. Statistica Sinica, 8:691-711
    • (1998) Statistica Sinica , vol.8 , pp. 691-711
    • Hoijtink, H.1
  • 28
    • 12344305155 scopus 로고    scopus 로고
    • Model based clustering of large data sets: Tracing the development of spelling ability
    • Hoijtink, H. and Notenboom, A. 2004. Model based clustering of large data sets: Tracing the development of spelling ability. Psychometrika, 69:481-498
    • (2004) Psychometrika , vol.69 , pp. 481-498
    • Hoijtink, H.1    Notenboom, A.2
  • 32
    • 0032359236 scopus 로고    scopus 로고
    • Application of Gibbs sampling to nested variance components models with heterogeneous within-group variance
    • Kasim, R. M. and Raudenbush, S. W. 1998. Application of Gibbs sampling to nested variance components models with heterogeneous within-group variance. Journal of Educational and Behavioral Statistics, 23:93-116
    • (1998) Journal of Educational and Behavioral Statistics , vol.23 , pp. 93-116
    • Kasim, R.M.1    Raudenbush, S.W.2
  • 33
    • 0020333131 scopus 로고
    • Random-effects models for longitudinal data
    • Laird, N. and Ware, J. 1982. Random-effects models for longitudinal data. Biometrics, 38:963-974
    • (1982) Biometrics , vol.38 , pp. 963-974
    • Laird, N.1    Ware, J.2
  • 35
    • 0038457409 scopus 로고    scopus 로고
    • Bayesian model selection for mixtures of structural equation models with an unknown number of components
    • Lee, S.Y. and Song, X.Y. 2003. Bayesian model selection for mixtures of structural equation models with an unknown number of components. British Journal of Mathematical and Statistical Psychology, 56:145-165
    • (2003) British Journal of Mathematical and Statistical Psychology , vol.56 , pp. 145-165
    • Lee, S.Y.1    Song, X.Y.2
  • 36
    • 33751234948 scopus 로고    scopus 로고
    • Bayesian analysis of nonlinear structural equation models with nonignorable missing data
    • Lee, S. Y. and Tang, N. S. 2006. Bayesian analysis of nonlinear structural equation models with nonignorable missing data. Psychometrika, 71:541-564
    • (2006) Psychometrika , vol.71 , pp. 541-564
    • Lee, S.Y.1    Tang, N.S.2
  • 37
    • 18044381191 scopus 로고    scopus 로고
    • Statistical analysis of nonlinear structural equation models with continuous and polytomous data
    • Lee, S. Y. and Zhu, H. T. 2000. Statistical analysis of nonlinear structural equation models with continuous and polytomous data. British Journal of Mathematical and Statistical Psychology, 53: 209-232
    • (2000) British Journal of Mathematical and Statistical Psychology , vol.53 , pp. 209-232
    • Lee, S.Y.1    Zhu, H.T.2
  • 38
    • 34548063939 scopus 로고    scopus 로고
    • Bayesian methods for analyzing structural equation models with covariates, interaction, and quadratic latent variables
    • Lee, S. Y., Song, X. Y. and Tang, N. S. 2007. Bayesian methods for analyzing structural equation models with covariates, interaction, and quadratic latent variables. Structural Equation Modeling, 14:404-434
    • (2007) Structural Equation Modeling , vol.14 , pp. 404-434
    • Lee, S.Y.1    Song, X.Y.2    Tang, N.S.3
  • 39
    • 67649339573 scopus 로고    scopus 로고
    • Specifying and refining a measurement model for a simulation-based assessment
    • Levy, R. and Mislevy, R. J. 2004. Specifying and refining a measurement model for a simulation-based assessment. International Journal of Measurement, 4:333-369
    • (2004) International Journal of Measurement , vol.4 , pp. 333-369
    • Levy, R.1    Mislevy, R.J.2
  • 41
    • 0002368997 scopus 로고
    • The role of exchangeability in inference
    • Lindley, D. V. and Novick, M. R. 1981. The role of exchangeability in inference. Annals of Statistics, 9:45-58
    • (1981) Annals of Statistics , vol.9 , pp. 45-58
    • Lindley, D.V.1    Novick, M.R.2
  • 45
    • 34948909683 scopus 로고    scopus 로고
    • Covariates of the rating process in hierarchical models for multiple ratings of test items
    • Mariano, L. T. and Junker, B. W. 2007. Covariates of the rating process in hierarchical models for multiple ratings of test items. Journal of Educational and Behavioral Statistics, 32:287-314
    • (2007) Journal of Educational and Behavioral Statistics , vol.32 , pp. 287-314
    • Mariano, L.T.1    Junker, B.W.2
  • 46
    • 34250131877 scopus 로고
    • Bayes modal estimation in item response models
    • Mislevy, R. J. 1986. Bayes modal estimation in item response models. Psychometrika, 51:177-196
    • (1986) Psychometrika , vol.51 , pp. 177-196
    • Mislevy, R.J.1
  • 47
    • 67649383642 scopus 로고    scopus 로고
    • Bayesian psychometric modeling from an evidence-centered design perspective
    • C. R. Rao and S. Sinharay, (eds) North-Holland, Amsterdam
    • Mislevy, R. J. and Levy, R. 2007. Bayesian psychometric modeling from an evidence-centered design perspective. In C. R. Rao and S. Sinharay (eds), Handbook of Statistics, Volume 26, pp. 839-865. North-Holland, Amsterdam
    • (2007) Handbook of Statistics, Volume 26 , pp. 839-865
    • Mislevy, R.J.1    Levy, R.2
  • 48
    • 6344231130 scopus 로고
    • Further cross-validation analysis of the Bayesian m-group regression method
    • Novick, M. R. and Jackson, P. H. 1974. Further cross-validation analysis of the Bayesian m-group regression method. American Educational Research Journal, 11:77-85
    • (1974) American Educational Research Journal , vol.11 , pp. 77-85
    • Novick, M.R.1    Jackson, P.H.2
  • 49
    • 0033411905 scopus 로고    scopus 로고
    • A straightforward approach to Markov chain Monte Carlo methods for item response models
    • Patz, R. J. and Junker B. W. 1999a. 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
  • 50
    • 0033261632 scopus 로고    scopus 로고
    • Applications and extensions of MCMC in IRT: Multiple item types, missing data, and rated responses
    • Patz, R. J. and Junker, B. W. 1999b. Applications and extensions of MCMC in IRT: Multiple item types, missing data, and rated responses. Journal of Educational and Behavioral Statistics, 24:342-366
    • (1999) Journal of Educational and Behavioral Statistics , vol.24 , pp. 342-366
    • Patz, R.J.1    Junker, B.W.2
  • 52
    • 84970751365 scopus 로고
    • Rasch models in latent classes-an integration of two approaches to item analysis
    • Rost, J. 1990. Rasch models in latent classes-an integration of two approaches to item analysis. Applied Psychological Measurement, 14:271-282
    • (1990) Applied Psychological Measurement , vol.14 , pp. 271-282
    • Rost, J.1
  • 53
    • 0036289272 scopus 로고    scopus 로고
    • Bayesian estimation and model choice in item response models
    • Sahu, S. K. 2002. Bayesian estimation and model choice in item response models. Journal of Statistical Computation and Simulation, 72:217-232
    • (2002) Journal of Statistical Computation and Simulation , vol.72 , pp. 217-232
    • Sahu, S.K.1
  • 54
    • 0035998840 scopus 로고    scopus 로고
    • Empirical Bayes and item-clustering in a latent variable hierarchical model: A case study from the National Assessment of Educational Progress
    • Scott, S. L. and Ip, E. H. 2002. Empirical Bayes and item-clustering in a latent variable hierarchical model: A case study from the National Assessment of Educational Progress. Journal of the American Statistical Association, 97:409-419
    • (2002) Journal of the American Statistical Association , vol.97 , pp. 409-419
    • Scott, S.L.1    Ip, E.H.2
  • 55
    • 0033247467 scopus 로고    scopus 로고
    • Bayesian estimation and testing of structural equation models
    • Scheines, R., Hoijtink, H., and Boomsma, A. 1999. Bayesian estimation and testing of structural equation models. Psychometrika, 64:37-52
    • (1999) Psychometrika , vol.64 , pp. 37-52
    • Scheines, R.1    Hoijtink, H.2    Boomsma, A.3
  • 57
    • 0000812928 scopus 로고
    • Sensitivity analysis for fixed effects in the hierarchical model: A Gibbs sampling approach
    • Seltzer, M. H. 1993. Sensitivity analysis for fixed effects in the hierarchical model: A Gibbs sampling approach. Journal of Educational Statistics, 18:207-235
    • (1993) Journal of Educational Statistics , vol.18 , pp. 207-235
    • Seltzer, M.H.1
  • 60
    • 0000592609 scopus 로고    scopus 로고
    • Bayesian sampling-based approach for factor analysis model with continuous and polytomous data
    • Shi, J. Q. and Lee, S. Y. 1998. Bayesian sampling-based approach for factor analysis model with continuous and polytomous data. British Journal of Mathematical and Statistical Psychology, 51: 233-252
    • (1998) British Journal of Mathematical and Statistical Psychology , vol.51 , pp. 233-252
    • Shi, J.Q.1    Lee, S.Y.2
  • 61
    • 0029612242 scopus 로고
    • Bayesian graphical modelling applied to random effects meta-analysis
    • Smith, T. C., Spiegelhalter, D. J., and Thomas,A. 1995. Bayesian graphical modelling applied to random effects meta-analysis. Statistics in Medicine, 14:2685-2699
    • (1995) Statistics in Medicine , vol.14 , pp. 2685-2699
    • Smith, T.C.1    Spiegelhalter, D.J.2    Thomas, A.3
  • 62
    • 0035514102 scopus 로고    scopus 로고
    • Bayesian estimation and test for factor analysis model with continuous and polytomous data in several populations
    • Song, X. Y. and Lee, S. Y. 2001. Bayesian estimation and test for factor analysis model with continuous and polytomous data in several populations. British Journal of Mathematical and Statistical Psychology, 54:237-263
    • (2001) British Journal of Mathematical and Statistical Psychology , vol.54 , pp. 237-263
    • Song, X.Y.1    Lee, S.Y.2
  • 63
    • 0035998146 scopus 로고    scopus 로고
    • Analysis of structural equation model with ignorable missing continuous and polytomous data
    • Song, X. Y. and Lee, S. Y. 2002. Analysis of structural equation model with ignorable missing continuous and polytomous data. Psychometrika, 67:261-288
    • (2002) Psychometrika , vol.67 , pp. 261-288
    • Song, X.Y.1    Lee, S.Y.2
  • 64
    • 0037279421 scopus 로고    scopus 로고
    • Full maximum likelihood estimation of polychoric and polyserial correlations with missing data
    • Song, X. Y. and Lee, S. Y. 2003. Full maximum likelihood estimation of polychoric and polyserial correlations with missing data. Multivariate Behavioral Research, 38:57-79
    • (2003) Multivariate Behavioral Research , vol.38 , pp. 57-79
    • Song, X.Y.1    Lee, S.Y.2
  • 67
    • 0000563849 scopus 로고
    • On the relationship between item response theory and factor analysis of discretized variables
    • Takane, Y. and de Leeuw, J. 1987. On the relationship between item response theory and factor analysis of discretized variables. Psychometrika, 52:393-408
    • (1987) Psychometrika , vol.52 , pp. 393-408
    • Takane, Y.1    de Leeuw, J.2
  • 68
    • 0037001878 scopus 로고    scopus 로고
    • Bayesian estimation and model selection in ordered latent class models for polytomous items
    • van Onna, M. J. H. 2002. Bayesian estimation and model selection in ordered latent class models for polytomous items. Psychometrika, 67:519-538
    • (2002) Psychometrika , vol.67 , pp. 519-538
    • van Onna, M.J.H.1
  • 69
    • 34247192112 scopus 로고    scopus 로고
    • Item factor analysis: Current approaches and future directions
    • Wirth, R. J. and Edwards, M. C. 2007. Item factor analysis: Current approaches and future directions. Psychological Methods, 12:58-79
    • (2007) Psychological Methods , vol.12 , pp. 58-79
    • Wirth, R.J.1    Edwards, M.C.2
  • 70
    • 0036377040 scopus 로고    scopus 로고
    • Recovery of item parameters in the nominal response model: A comparison of marginal likelihood estimation and Markov chain Monte Carlo estimation
    • Wollack, J. A., Bolt, D. M., Cohen, A. S., and Lee, Y. S. 2002. Recovery of item parameters in the nominal response model: A comparison of marginal likelihood estimation and Markov chain Monte Carlo estimation. Applied Psychological Measurement, 26:339-352
    • (2002) Applied Psychological Measurement , vol.26 , pp. 339-352
    • Wollack, J.A.1    Bolt, D.M.2    Cohen, A.S.3    Lee, Y.S.4
  • 71
    • 33846998326 scopus 로고    scopus 로고
    • Amultidimensional item response modeling approach for improving subscale proficiency estimation and classification
    • Yao, L. and Boughton, K.A. 2007.Amultidimensional item response modeling approach for improving subscale proficiency estimation and classification. Applied Psychological Measurement, 31:83-105
    • (2007) Applied Psychological Measurement , vol.31 , pp. 83-105
    • Yao, L.1    Boughton, K.A.2
  • 73
    • 0035286078 scopus 로고    scopus 로고
    • ABayesian analysis of finite mixtures in the LISRELmodel
    • Zhu, H. T. and Lee, S. Y. 2001.ABayesian analysis of finite mixtures in the LISRELmodel. Psychometrika, 66:133-152
    • (2001) Psychometrika , vol.66 , pp. 133-152
    • Zhu, H.T.1    Lee, S.Y.2


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