Volume 55, Issue 4, 2020

1. Direction Dependence Analysis in the Presence of Confounders: Applications to Linear Mediation Models Using Observational Data
Wolfgang Wiedermann & James Sebastian

2. The Assumptions of Direction Dependence Analysis
Felix Thoemmes

3. Sensitivity Analysis and Extensions of Testing the Causal Direction of Dependence: A Rejoinder to Thoemmes (2019)
Wolfgang Wiedermann & James Sebastian

4. A More Efficient Causal Mediator Model Without the No-Unmeasured-Confounder Assumption
Holger Brandt

5. An Approach to Addressing Multiple Imputation Model Uncertainty Using Bayesian Model Averaging
David Kaplan & Sinan Yavuz

6. New Recommendations on the Use of R-Squared Differences in Multilevel Model Comparisons
Jason D. Rights & Sonya K. Sterba

7. Multilevel Factor Score Regression
Ines Devlieger & Yves Rosseel

8. The Comparison of Latent Variable Propensity Score Models to Traditional Propensity Score Models under Conditions of Covariate Unreliability
Tiffany A. Whittaker