Ji Seung Yang

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All published works
Action Title Year Authors
+ Assessing Item Fit Using Expected Score Curve Under Restricted Recalibration 2024 Youngjin Han
Ji Seung Yang
Yang Liu
+ Book Review 2023 Ji Seung Yang
Yang Liu
Sungyeun Kim
+ PDF Chat Toward Annotator Group Bias in Crowdsourcing 2022 Haochen Liu
Joseph Thekinen
Sinem Mollaoglu
Da Tang
Ji Seung Yang
Youlong Cheng
Hui Liu
Jiliang Tang
+ Latent Growth Modeling with Categorical Response Data: A Methodological Investigation of Model Parameterization, Estimation, and Missing Data 2021 Xiaying Zheng
Ji Seung Yang
Jeffrey R. Harring
+ Latent Variable Regression Discontinuity Design with Cluster Level Treatment Assignment 2019 Monica Morell
Ji Seung Yang
Yang Liu
+ Restricted Recalibration of Item Response Theory Models 2019 Yang Liu
Ji Seung Yang
Alberto Maydeu‐Olivares
+ Latent Growth Curve Analysis with Categorical Data: Model Specification, Estimation, and Panel Attrition 2018 Xiaying Zheng
Ji Seung Yang
+ Interval Estimation of Latent Variable Scores in Item Response Theory 2017 Yang Liu
Ji Seung Yang
+ Multilevel and Single-Level Models for Measured and Latent Variables When Data Are Clustered 2016 Laura M. Stapleton
Daniel McNeish
Ji Seung Yang
+ Using Sample Weights in Item Response Data Analysis under Complex Sample Designs 2016 Xiaying Zheng
Ji Seung Yang
+ PDF Chat Estimation of Contextual Effects Through Nonlinear Multilevel Latent Variable Modeling With a Metropolis–Hastings Robbins–Monro Algorithm 2014 Ji Seung Yang
Li Cai
+ Estimation of Contextual Effects through Nonlinear Multilevel Latent Variable Modeling with a Metropolis-Hastings Robbins-Monro Algorithm. 2014 Ji Seung Yang
Li Cai
+ Estimation of Contextual Effects through Nonlinear Multilevel Latent Variable Modeling with a Metropolis-Hastings Robbins-Monro Algorithm. CRESST Report 833. 2013 Ji Seung Yang
Li Cai
+ PDF Chat Generalized full-information item bifactor analysis. 2011 Li Cai
Ji Seung Yang
Mark Hansen
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat High-dimensional Exploratory Item Factor Analysis by A Metropolis–Hastings Robbins–Monro Algorithm 2009 Li Cai
3
+ Limited‐information goodness‐of‐fit testing of item response theory models for sparse 2<sup><i>P</i></sup> tables 2006 Li Cai
Alberto Maydeu‐Olivares
Donna L. Coffman
David Thissen
3
+ SEM of another flavour: Two new applications of the supplemented EM algorithm 2008 Li Cai
2
+ Limited- and Full-Information Estimation and Goodness-of-Fit Testing in 2<i><sup>n</sup></i>Contingency Tables 2005 Alberto Maydeu‐Olivares
Harry Joe
2
+ A Comparison of Item-Fit Statistics for the Three-Parameter Logistic Model 2003 Cees A. W. Glas
Juan C. Suárez‐Falcón
2
+ PDF Chat Multilevel Modelling of Complex Survey Data 2006 Sophia Rabe‐Hesketh
Anders Skrondal
2
+ Monte Carlo sampling methods using Markov chains and their applications 1970 W. Keith Hastings
2
+ Inference and missing data 1976 Donald B. Rubin
2
+ PDF Chat A Generalized Partial Credit Model: Application of an EM Algorithm 1992 Eiji Muraki
2
+ Asymptotic Statistics 1994 Helmut Rieder
2
+ PDF Chat Weighting for Unequal Selection Probabilities in Multilevel Models 1998 Danny Pfeffermann
C. J. Skinner
David Holmes
Harvey Goldstein
Jon Rasbash
2
+ PDF Chat Item factor analysis: Current approaches and future directions. 2007 R. Wirth
Michael C. Edwards
2
+ Comparing score tests and other local dependence diagnostics for the graded response model 2013 Yang Liu
David Thissen
2
+ A General Family of Limited Information Goodness-of-Fit Statistics for Multinomial Data 2010 Harry Joe
Alberto Maydeu‐Olivares
2
+ PDF Chat Pseudo Maximum Likelihood Estimation: The Asymptotic Distribution 1986 William R. Parke
2
+ The Impact of Fallible Item Parameter Estimates on Latent Trait Recovery 2010 Ying Cheng
Ke‐Hai Yuan
2
+ Multilevel Item Response Models: An Approach to Errors in Variables Regression 1997 Raymond J. Adams
Mark Wilson
Margaret Wu
2
+ PDF Chat High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature 2005 Stephen Schilling
R. Darrell Bock
2
+ A Two-Tier Full-Information Item Factor Analysis Model with Applications 2010 Li Cai
2
+ A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms 1990 Greg C. G. Wei
Martin A. Tanner
2
+ Pseudo Maximum Likelihood Estimation: Theory and Applications 1981 Gail Gong
Francisco J. Samaniego
2
+ PDF Chat A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators 1984 Bengt Muthén
2
+ A Unified Approach to IRT Scale Linking and Scale Transformations 2007 Matthias von Davier
Alina A. von Davier
2
+ Multiple Group IRT 1997 R. Darrell Bock
Michele F. Zimowski
2
+ Measurement invariance, factor analysis and factorial invariance 1993 William Meredith
1
+ Statistical power and optimal design for multisite randomized trials. 2000 Stephen W. Raudenbush
Xiaofeng Liu
1
+ PDF Chat A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the metropolis-hastings algorithm 1998 Gerhard Arminger
Bengt Muthén
1
+ Mean and Covariance Structure Analysis of Hierarchical Data 2011 Bengt Muthén
1
+ Modification indices for the 2-PL and the nominal response model 1999 Cees A. W. Glas
1
+ PDF Chat Linear Versus Models in Item Response Theory 1982 Roderick P. McDonald
1
+ Multilevel Factor Analysis Models for Continuous and Discrete Data 2005 Harvey Goldstein
William J. Browne
1
+ Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood 1997 Michael G. Kenward
James Roger
1
+ Calibrating predictive distributions 2012 Giovanni Fonseca
Federica GiummolĂš
Paolo Vidoni
1
+ <b>mirt</b>: A Multidimensional Item Response Theory Package for the<i>R</i>Environment 2012 R. Philip Chalmers
1
+ DEALING WITH UNCERTAINTY ABOUT ITEM PARAMETERS: EXPECTED RESPONSE FUNCTIONS 1994 Robert J. Mislevy
Marilyn S. Wingersky
Kathleen M. Sheehan
1
+ Covariance Structure Model Fit Testing Under Missing Data: An Application of the Supplemented EM Algorithm 2009 Li Cai
Tae-Hun Lee
1
+ An Extension of the Two-Parameter Logistic Model to the Multidimensional Latent Space. 1983 Robert L. McKinley
Mark D. Reckase
1
+ PDF Chat Convergence of a stochastic approximation version of the EM algorithm 1999 Bernard Delyon
Marc Lavielle
Éric Moulines
1
+ Modern Applied Statistics with S 2002 W. N. Venables
B. D. Ripley
1
+ Composite likelihood estimation in multivariate data analysis 2005 Yinshan Zhao
Harry Joe
1
+ A Test of Goodness of Fit 1954 T. W. Anderson
D. A. Darling
1
+ Frequentist prediction intervals and predictive distributions 2005 Jerald F. Lawless
Marc Frédette
1
+ Random Coefficients Models 1992 ChĂȘng Hsiao
1
+ PDF Chat Alternative Model-Based and Design-Based Frameworks for Inference From Samples to Populations: From Polarization to Integration 2009 Sonya K. Sterba
1
+ Using EM to Obtain Asymptotic Variance-Covariance Matrices: The SEM Algorithm 1991 Xiao‐Li Meng
Donald B. Rubin
1
+ Linear regression with randomly dispersed parameters 1973 Barr Rosenberg
1
+ A Nonlinear Mixed Effects Model for Latent Variables 2009 Jeffrey R. Harring
1
+ Cross-Validation Methods 2000 Michael W. Browne
1
+ Factor Analysis of Ordinal Variables: A Comparison of Three Approaches 2001 Karl G. Jöreskog
Irini Moustaki
1
+ THE THEORETICAL FOUNDATIONS OF PRINCIPAL FACTOR ANALYSIS, CANONICAL FACTOR ANALYSIS, AND ALPHA FACTOR ANALYSIS 1970 Roderick P. McDonald
1