A More Flexible Bayesian Multilevel Bifactor Item Response Theory Model
暂无分享,去创建一个
[1] Christine E. DeMars. A Tutorial on Interpreting Bifactor Model Scores , 2013 .
[2] J. Varni,et al. Bayesian Estimation of Graded Response Multilevel Models Using Gibbs Sampling: Formulation and Illustration , 2010 .
[3] Ken A. Fujimoto,et al. A general Bayesian multilevel multidimensional IRT model for locally dependent data , 2018, The British journal of mathematical and statistical psychology.
[4] Jean-Paul Fox,et al. Relaxing Measurement Invariance in Cross-National Consumer Research Using a Hierarchical IRT Model , 2007 .
[5] Michael D. Toland,et al. Introduction to bifactor polytomous item response theory analysis. , 2017, Journal of school psychology.
[6] Ken A. Fujimoto,et al. The Bayesian Multilevel Trifactor Item Response Theory Model , 2018, Educational and psychological measurement.
[7] Robert J. Sampson,et al. 6. A Multivariate, Multilevel Rasch Model with Application to Self-Reported Criminal Behavior , 2003 .
[8] Francesco Bartolucci,et al. Dimensionality of the Latent Structure and Item Selection Via Latent Class Multidimensional IRT Models , 2012, Psychometrika.
[9] R. Dedrick,et al. A Multilevel Bifactor Approach to Construct Validation of Mixed-Format Scales , 2018, Educational and psychological measurement.
[10] Moritz Heene,et al. Anomalous Results in G-Factor Models: Explanations and Alternatives , 2017, Psychological methods.
[11] Noah Kaplan,et al. Practical Issues in Implementing and Understanding Bayesian Ideal Point Estimation , 2005, Political Analysis.
[12] Jean-Paul Fox,et al. Bayesian Item Response Modeling , 2010 .
[13] Akihito Kamata,et al. A Multilevel Testlet Model for Dual Local Dependence , 2012 .
[14] E. Muraki. A Generalized Partial Credit Model: Application of an EM Algorithm , 1992 .
[15] S. West,et al. A Comparison of Bifactor and Second-Order Models of Quality of Life , 2006, Multivariate behavioral research.
[16] Y. Zhang,et al. Polytomous multilevel testlet models for testlet-based assessments with complex sampling designs. , 2015, The British journal of mathematical and statistical psychology.
[17] Akihito Kamata,et al. Item Analysis by the Hierarchical Generalized Linear Model. , 2001 .
[18] S. Chib,et al. Analysis of multivariate probit models , 1998 .
[19] Gareth O. Roberts,et al. Examples of Adaptive MCMC , 2009 .
[20] Frank Rijmen,et al. Efficient Full Information Maximum Likelihood Estimation for Multidimensional IRT Models. Research Report. ETS RR-09-03. , 2009 .
[21] Sun-Joo Cho,et al. Detecting Differential Item Discrimination (DID) and the Consequences of Ignoring DID in Multilevel Item Response Models. , 2017 .
[22] Yanyan Sheng,et al. BAYESIAN IRT MODELS INCORPORATING GENERAL AND SPECIFIC ABILITIES , 2009 .
[23] R. D. Bock,et al. Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm , 1981 .
[24] Raymond J. Adams,et al. Multilevel Item Response Models: An Approach to Errors in Variables Regression , 1997 .
[25] K. Holzinger,et al. The Bi-factor method , 1937 .
[26] Bengt Muthén,et al. Multilevel Factor Analysis of Class and Student Achievement Components , 1991 .
[27] Li Cai,et al. Generalized full-information item bifactor analysis. , 2011, Psychological methods.
[28] Donald Hedeker,et al. Full-Information Item Bifactor Analysis of Graded Response Data , 2007 .
[29] S. Reise. The Rediscovery of Bifactor Measurement Models , 2012 .
[30] D. Thissen,et al. Local Dependence Indexes for Item Pairs Using Item Response Theory , 1997 .
[31] Akihito Kamata,et al. A Bifactor Multidimensional Item Response Theory Model for Differential Item Functioning Analysis on Testlet-Based Items , 2011 .
[32] Raymond J. Adams,et al. Rasch models for item bundles , 1995 .