10 citations · 15 across the 4 of their papers we have counts for
4 papers
A Comparative Evaluation of a Conditional Median-Based Bayesian Growth Curve Modeling Approach with Missing Data
Dandan Tang, Xin Tong, Jianhui Zhou
Longitudinal data are essential for studying within subject change and between subject differences in change. However, missing data, especially when the observed variables are nonn…
Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches
Dandan Tang, Xin Tong
Missing Not at Random (MNAR) and nonnormal data are challenging to handle. Traditional missing data analytical techniques such as full information maximum likelihood estimation (FI…
Are the Signs of Factor Loadings Arbitrary in Confirmatory Factor Analysis? Problems and Solutions
Dandan Tang, Steven M. Boker, Xin Tong
The replication crisis in social and behavioral sciences has raised concerns about the reliability and validity of empirical studies. While research in the literature has explored…
A Comparison of Full Information Maximum Likelihood and Machine Learning Missing Data Analytical Methods in Growth Curve Modeling
Dandan Tang, Xin Tong
Missing data are inevitable in longitudinal studies. Traditional methods, such as the full information maximum likelihood (FIML), are commonly used to handle ignorable missing data…