Sijing Shao
Biographic Data
| ID | 7833137 |
|---|---|
| NAME | Sijing Shao |
| GIVEN NAMES | Sijing |
| FAMILY NAME | Shao |
| SIGNATURE | SHAO S |
| AFFILIATIONS | Cornell University |
| ORCID | 0000-0003-0813-6060 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Seven challenges in affective inertia research
Affective inertia-the persistence of emotional states over time-has garnered growing attention in affective science due to its implications for psychological well-being and emotion regulation. Yet empirical progress has been hindered by conceptual ambiguities, measurement challenges, and statistical limitations. Here, we identify seven interrelated challenges spanning three domains: conceptual (e.g., conflating inertia with emotional stability), …
Sample Size Planning and Power Analysis for Detecting Cross-lagged Effects in Longitudinal Studies with Ordinal Outcomes
Assessing and Addressing Zero Inflation in Intensive Longitudinal Data
I would like to express my appreciation to my SMEP sponsor, Ross Jacobucci.Ecological Momentary Assessment (EMA) is a pivotal tool in behavioral research that captures the real-time behaviors and e
Dynamic Poisson Factor Analysis
"Dynamic Poisson Factor Analysis: A Hierarchical Bayesian Approach with Intensive Text Data." Multivariate Behavioral Research, 57(1), pp. 173–174
No prominent works on this page.
Dynamic Poisson Factor Analysis
"Dynamic Poisson Factor Analysis: A Hierarchical Bayesian Approach with Intensive Text Data." Multivariate Behavioral Research, 57(1), pp. 173–174
Assessing and Addressing Zero Inflation in Intensive Longitudinal Data
I would like to express my appreciation to my SMEP sponsor, Ross Jacobucci.Ecological Momentary Assessment (EMA) is a pivotal tool in behavioral research that captures the real-time behaviors and e
Sample Size Planning and Power Analysis for Detecting Cross-lagged Effects in Longitudinal Studies with Ordinal Outcomes
Seven challenges in affective inertia research
Affective inertia-the persistence of emotional states over time-has garnered growing attention in affective science due to its implications for psychological well-being and emotion regulation. Yet empirical progress has been hindered by conceptual ambiguities, measurement challenges, and statistical limitations. Here, we identify seven interrelated challenges spanning three domains: conceptual (e.g., conflating inertia with emotional stability), …
Mathematics (3 works) · Statistics (3 works) · Computer Science (2 works) · Data mining (2 works) · Econometrics (2 works) · Mental Health Research Topics (2 works) · Psychology (2 works) · Advanced Causal Inference Techniques (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)