Scholar
Dandan Tang
Google Scholar ID: 2x0AKbYAAAAJ
University of Virginia
Citations & Impact
Citations
874
H-index
7
i10-index
5
Publications
12
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches, Psychological Methods (in press, 2025)
- A Comparative Evaluation of a Conditional Median-Based Bayesian Growth Curve Modeling Approach with Missing Data, Structural Equation Modeling: A Multidisciplinary Journal (2025)
- Bayesian Quantile Growth Curve Models for Longitudinal Data, Annual Meeting of the Psychometric Society (2024)
- Are the Signs of Factor Loadings Arbitrary in Confirmatory Factor Analysis? Problems and Solutions, Structural Equation Modeling: A Multidisciplinary Journal (2024)
- A Comparison of Full Information Maximum Likelihood and Machine Learning Missing Data Analytical Methods in Growth Curve Modeling, Annual Meeting of the Psychometric Society (2023)
- Statistical Approaches for Testing Common Method Bias: Problems and Suggestions, Journal of Psychological Science (2020)
- Exploring the Relationship between Perceived Technology-assisted Teacher Support and Technology-embedded Scientific Inquiry: the Mediation Effect of Hardiness, International Journal of Science Education (2020)
- A General Simulation Comparison of the Predictive Validity between Bifactor and High-order Factor Models, Acta Psychologica Sinica (2019)
- An Exploration of Primary School Students’ Perceived Learning Practices and Associated Self-efficacies Regarding Mobile-assisted Seamless Science Learning, International Journal of Science Education (2019)
- Preliminary Work for Modeling Questionnaire Data, Journal of Psychological Science (2019)
- Multiple working papers under review or in preparation, including the Romeb R package for conditional median-based Bayesian growth curve modeling, IRT evaluation of the Belief in Sexism Shift Scale, text mining of Chinese psychology literature, and Bayesian methods for compositional longitudinal data
