
About
Dingjing Shi is an Assistant Professor in Psychology at Georgia Institute of Technology, specializing in quantitative methods. Her research integrates Bayesian statistics with psychological measurement, focusing on longitudinal data analysis, network modeling, and ecological momentary assessment using wearable technology. She employs advanced statistical approaches to address methodological challenges in behavioral research.
Her publications demonstrate expertise in developing novel psychometric approaches, including dimensionality reduction techniques for psychological networks and Bayesian generalizability theory for mixed-format assessments. Research addresses practical challenges in mobile health data collection and causal inference with incomplete data.
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