Structural Equation Model
Introduction
Structural Equation Modeling: A Multidisciplinary Journal, 32(4)
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs
Two-Wave Models for Latent Changes: How Well Can They Recover the Parameters of the Three-Wave Growth Curve Model?
—Chenguang Du, Kazuki Hori & Yasuo Miyazaki [] []
On the Benefit of Robust Bayesian Confirmatory Factor Analysis
—Radislav Vaisman, Mitchell Scovell, Nikolai Kinaev & Javier Fernandez [] []
Less Heuristic Approximate Local Fit Evaluation in Structural Equation Models
—Daniel McNeish [] []
Non-normal GMM with Covariates: A Modified 3-Step Analysis
—Ming-Chi Tseng [] []
Parameter Recovery for Misspecified Latent Mediation Models in the Bayesian Framework
—Haiyan Liu, Ihnwhi Heo, Sarah Depaoli & Aleksandr Ivanov [] []
fMACS: Generalizing dMACS Effect Size for Measurement Noninvariance with Multiple Groups and Multiple Grouping Variables
—Mark H. C. Lai, Yichi Zhang, Meltem Ozcan, Winnie Wing-Yee Tse & Alexander Miles [] []
From Seinfeld to Statistics: On the Dangers of Double Dipping with Bayesian Inference
—Timothy R. Konold, Elizabeth A. Sanders & Kelvin Afolabi [] []
Latent Interaction Modeling with Ordinal Items: Evaluating Alternative Analytic Methods and Parceling Strategies
—Lu Liu & Qian Zhang [] []
Two-Step Multilevel Latent Class Analysis in the Presence of Measurement Non-Equivalence
—Johan Lyrvall, Jouni Kuha & Jennifer Oser [] []
Teacher’s Corner
Methodological Advances with Penalized Structural Equation Models
—Tihomir Asparouhov & Bengt Muthén [] []
modsem: An R Package for Estimating Latent Interactions and Quadratic Effects |
—Kjell S. Slupphaug, Mehmet Mehmetoglu & Matthias Mittner [] []
Teaching the Mechanics of Factor Analysis Using Excel Spreadsheets
—Michael Brusco, Douglas Steinley & Ashley L. Watts [] []