Psychometrika
Introduction
Psychometrika, 86(1)
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis
—Christopher J. Urban, Daniel J. Bauer []
Inferring the Number of Attributes for the Exploratory DINA Model
—Yinghan Chen, Ying Liu, Steven Andrew Culpepper, Yuguo Chen []
Single- and Multiple-Group Penalized Factor Analysis: A Trust-Region Algorithm Approach with Integrated Automatic Multiple Tuning Parameter Selection
—Elena Geminiani, Giampiero Marra, Irini Moustaki []
Estimating Structural Equation Models Using James–Stein Type Shrinkage Estimators
—Elissa Burghgraeve, Jan De Neve, Yves Rosseel []
Confidence Distribution for the Ability Parameter of the Rasch Model
—Piero Veronese, Eugenio Melilli []
Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM
—Chun Wang []
Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes
—Esther Ulitzsch, Qiwei He, Vincent Ulitzsch, Hendrik Molter, André Nichterlein, Rolf Niedermeier, Steffi Pohl []
On the Quantification of Model Uncertainty: A Bayesian Perspective
—David Kaplan []
Modeling Within-Item Dependencies in Parallel Data on Test Responses and Brain Activation
—Minjeong Jeon, Paul Boeck, Jevan Luo, Xiangrui Li, Zhong-Lin Lu []
Social Network Mediation Analysis: A Latent Space Approach
—Haiyan Liu, Ick Hoon Jin, Zhiyong Zhang, Ying Yuan []
Using EM Algorithm for Finite Mixtures and Reformed Supplemented EM for MIRT Calibration
—Ping Chen, Chun Wang []
Perspectives on Psychometrics Interviews with 20 Past Psychometric Society Presidents
—Lisa D. Wijsen, Denny Borsboom []