Item factor analysis: current approaches and future directions.
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[1] David Thissen,et al. Item Response Theory with Estimation of the Latent Population Distribution Using Spline-Based Densities , 2006, Psychometrika.
[2] D. Thissen,et al. Limited-information goodness-of-fit testing of item response theory models for sparse 2 tables. , 2006, The British journal of mathematical and statistical psychology.
[3] P. Gagné,et al. Measurement Model Quality, Sample Size, and Solution Propriety in Confirmatory Factor Models , 2006, Multivariate behavioral research.
[4] P. Atzberger. The Monte-Carlo Method , 2006 .
[5] R. D. Bock,et al. High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature , 2005 .
[6] A. Alas,et al. BAYESIAN ESTIMATION OF A MULTILEVEL IRT MODEL USING GIBBS SAMPLING JEAN-PAUL FOX AND CEES , 2005 .
[7] D. Flora,et al. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. , 2004, Psychological methods.
[8] S. Rabe-Hesketh,et al. Generalized multilevel structural equation modeling , 2004 .
[9] Xin-Yuan Song,et al. Full Maximum Likelihood Estimation of Polychoric and Polyserial Correlations With Missing Data , 2003, Multivariate behavioral research.
[10] Tim Hesterberg,et al. Monte Carlo Strategies in Scientific Computing , 2002, Technometrics.
[11] James A. Wollack,et al. Recovery of Item Parameters in the Nominal Response Model: A Comparison of Marginal Maximum Likelihood Estimation and Markov Chain Monte Carlo Estimation , 2002 .
[12] Christine DiStefano,et al. The Impact of Categorization With Confirmatory Factor Analysis , 2002 .
[13] Jeff Gill,et al. Bayesian Methods : A Social and Behavioral Sciences Approach , 2002 .
[14] S. Sahu. Bayesian Estimation and Model Choice in Item Response Models , 2002 .
[15] Descriptors Adaptive,et al. Annual Meeting of the National Council on Measurement in Education , 2002 .
[16] A. Béguin,et al. MCMC estimation and some model-fit analysis of multidimensional IRT models , 2001 .
[17] K. Jöreskog,et al. Factor Analysis of Ordinal Variables: A Comparison of Three Approaches , 2001, Multivariate behavioral research.
[18] J. Fox,et al. Bayesian estimation of a multilevel IRT model using gibbs sampling , 2001 .
[19] Seock-Ho Kim,et al. An Evaluation of a Markov Chain Monte Carlo Method for the Rasch Model , 2001 .
[20] Stan Lipovetsky,et al. Latent Variable Models and Factor Analysis , 2001, Technometrics.
[21] Tx Station. Stata Statistical Software: Release 7. , 2001 .
[22] A. Boomsma,et al. The robustness of LISREL modeling revisted. , 2001 .
[23] Richard J. Patz,et al. A Straightforward Approach to Markov Chain Monte Carlo Methods for Item Response Models , 1999 .
[24] Eric T. Bradlow,et al. A Bayesian random effects model for testlets , 1999 .
[25] Jian Qing Shi,et al. Bayesian sampling‐based approach for factor analysis models with continuous and polytomous data , 1998 .
[26] P M Bentler,et al. Normal theory based test statistics in structural equation modelling. , 1998, The British journal of mathematical and statistical psychology.
[27] Frank B. Baker,et al. An Investigation of the Item Parameter Recovery Characteristics of a Gibbs Sampling Procedure , 1998 .
[28] A. Boomsma,et al. Robustness Studies in Covariance Structure Modeling , 1998 .
[29] Sylvia Richardson,et al. Markov Chain Monte Carlo in Practice , 1997 .
[30] B. Muthén,et al. Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes , 1997 .
[31] Xiao-Li Meng,et al. Fitting Full-Information Item Factor Models and an Empirical Investigation of Bridge Sampling , 1996 .
[32] Edward H. Ip,et al. Stochastic EM: method and application , 1996 .
[33] David J. Spiegelhalter,et al. Introducing Markov chain Monte Carlo , 1995 .
[34] P M Bentler,et al. A two-stage estimation of structural equation models with continuous and polytomous variables. , 1995, The British journal of mathematical and statistical psychology.
[35] S. Chib,et al. Understanding the Metropolis-Hastings Algorithm , 1995 .
[36] Bradley P. Carlin,et al. Markov Chain Monte Carlo conver-gence diagnostics: a comparative review , 1996 .
[37] Conor V. Dolan,et al. Factor analysis of variables with 2, 3, 5, and 7 response categories: A comparison of categorical variable estimators using simulated data , 1994 .
[38] Karl G. Jöreskog,et al. On the estimation of polychoric correlations and their asymptotic covariance matrix , 1994 .
[39] A. Satorra,et al. Corrections to test statistics and standard errors in covariance structure analysis. , 1994 .
[40] S. Chib,et al. Bayesian analysis of binary and polychotomous response data , 1993 .
[41] J. Albert. Bayesian Estimation of Normal Ogive Item Response Curves Using Gibbs Sampling , 1992 .
[42] Donald Hedeker,et al. Full-information item bi-factor analysis , 1992 .
[43] G. Casella,et al. Explaining the Gibbs Sampler , 1992 .
[44] E. Muraki. A GENERALIZED PARTIAL CREDIT MODEL: APPLICATION OF AN EM ALGORITHM , 1992 .
[45] P. Costa,et al. Revised NEO Personality Inventory (NEO-PI-R) and NEO-Five-Factor Inventory (NEO-FFI) , 1992 .
[46] T. Achenbach. Manual for the child behavior checklist/4-18 and 1991 profile , 1991 .
[47] Donald B. Rubin,et al. EM and beyond , 1991 .
[48] Karl G. Jöreskog,et al. New developments in LISREL: analysis of ordinal variables using polychoric correlations and weighted least squares , 1990 .
[49] Peter M. Bentler,et al. A three-stage estimation procedure for structural equation models with polytomous variables , 1990 .
[50] Peter M. Bentler,et al. Full maximum likelihood analysis of structural equation models with polytomous variables , 1990 .
[51] S. Hathaway,et al. MMPI-2 : Minnesota Multiphasic Personality Inventory-2 : manual for administration and scoring , 1989 .
[52] E. Muraki,et al. Full-Information Item Factor Analysis , 1988 .
[53] Jan de Leeuw,et al. On the relationship between item response theory and factor analysis of discretized variables , 1987 .
[54] C. N. Morris,et al. The calculation of posterior distributions by data augmentation , 1987 .
[55] David Thissen,et al. A taxonomy of item response models , 1986 .
[56] Robert J. Mislevy,et al. Recent Developments in the Factor Analysis of Categorical Variables , 1986 .
[57] 猪原 正守. Comparison of estimation methods in factor analysis , 1986 .
[58] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[59] M. Browne. Asymptotically distribution-free methods for the analysis of covariance structures. , 1984, The British journal of mathematical and statistical psychology.
[60] B. Muthén. A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators , 1984 .
[61] C. Edelbrock,et al. Manual for the Child: Behavior Checklist and Revised Child Behavior Profile , 1983 .
[62] R. D. Bock,et al. Marginal maximum likelihood estimation of item parameters , 1982 .
[63] G. Masters. A rasch model for partial credit scoring , 1982 .
[64] R. D. Bock,et al. Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm , 1981 .
[65] Ulf Olsson,et al. Maximum likelihood estimation of the polychoric correlation coefficient , 1979 .
[66] B. Muthén. Contributions to factor analysis of dichotomous variables , 1978 .
[67] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[68] Anders Christoffersson,et al. Factor analysis of dichotomized variables , 1975 .
[69] M. Browne. Generalized Least Squares Estimators in the Analysis of Covariance Structures. , 1973 .
[70] R. Darrell Bock,et al. Estimating item parameters and latent ability when responses are scored in two or more nominal categories , 1972 .
[71] R. Darrell Bock,et al. Fitting a response model forn dichotomously scored items , 1970 .
[72] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[73] K. Jöreskog. A general approach to confirmatory maximum likelihood factor analysis , 1969 .
[74] M. R. Novick,et al. Statistical Theories of Mental Test Scores. , 1971 .
[75] F. Samejima. Estimation of latent ability using a response pattern of graded scores , 1968 .
[76] Melvin R. Novick,et al. Some latent train models and their use in inferring an examinee's ability , 1966 .
[77] A. E. Maxwell,et al. Factor Analysis as a Statistical Method. , 1964 .
[78] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[79] F. Lord. A theory of test scores. , 1952 .
[80] J. Neyman,et al. Consistent Estimates Based on Partially Consistent Observations , 1948 .
[81] H. B. Heywood,et al. On finite sequences of real numbers , 1931 .
[82] Karl Pearson,et al. Mathematical contributions to the theory of evolution. VIII. On the correlation of characters not quantitatively measurable , 1900, Proceedings of the Royal Society of London.