Volume 57, Issue 2 & 3, 2022
1. Evaluating SEM Model Fit with Small Degrees of Freedom
Dexin Shi, Christine DiStefano, Alberto Maydeu-Olivares & Taehun Lee
2. The Impact of Item Feature and Response Preference in a Mixed-Format Design
Hui-Fang Chen & Kuan-Yu Jin
3. Smoothed Quantiles for χ2 Type Test Statistics with Applications
Ke-Hai Yuan, Brenna Gomer & Katerina M. Marcoulides
4. Interpreting Interaction Effects in Generalized Linear Models of Nonlinear Probabilities and Counts
Connor J. McCabe, Max A. Halvorson, Kevin M. King, Xiaolin Cao & Dale S. Kim
5. Bayesian One-Sided Variable Selection
Xin Gu, Herbert Hoijtink & Joris Mulder
6. Penalized Least Squares for Structural Equation Modeling with Ordinal Responses
Po-Hsien Huang
7. Multilevel Meta-Analysis of Individual Participant Data of Single-Case Experimental Designs: One-Stage versus Two-Stage Methods
Lies Declercq, Laleh Jamshidi, Belén Fernández Castilla, Mariola Moeyaert, S. Natasha Beretvas, John M. Ferron & Wim Van den Noortgate
8. Reducing Incidence of Nonpositive Definite Covariance Matrices in Mixed Effect Models
Daniel McNeish & Daniel J. Bauer
9. Latent Class Analysis for Repeatedly Measured Multiple Latent Class Variables
Saebom Jeon, Tae Seok Seo, James C. Anthony & Hwan Chung
10. A Comparison of the Spatial Arrangement Method and the Total-Set Pairwise Rating Method for Obtaining Similarity Data in the Conceptual Domain
Steven Verheyen, Anne White & Gert Storms
11. Assessing Dimensionality in Non-Positive Definite Tetrachoric Correlation Matrices: Does Matrix Smoothing Help?
Justin D. Kracht & Niels G. Waller
12. A Higher-Order Cognitive Diagnosis Model with Ordinal Attributes for Dichotomous Response Data
Wenchao Ma
13. Modeling Multivariate Count Time Series Data with a Vector Poisson Log-Normal Additive Model: Applications to Testing Treatment Effects in Single-Case Designs
Sun-Joo Cho, Matthew Naveiras & Erin Barton
14. Joint Hidden Markov Model for Longitudinal and Time-to-Event Data with Latent Variables
Xiaoxiao Zhou, Kai Kang, Timothy Kwok & Xinyuan Song
15. Dependence Graphs Based on Association Rules to Explore Delusional Experiences
Andrés Martínez, Manuel J. Cuesta & Victor Peralta
16. A Bayesian Latent Variable Selection Model for Nonignorable Missingness
Han Du, Craig Enders, Brian Tinnell Keller, Thomas N. Bradbury & Benjamin R. Karney