Detrending for Intensive Longitudinal Dyadic Data Analysis Using DSEM
Datos Bibliográficos
| ID | 12424868 |
|---|---|
| Autores | Yue Xiao (0009-0002-4558-8904, East China Normal University), Hongyun Liu (0000-0002-3472-9102, Beijing Normal University, autor de correspondencia) |
| Año | 2025 |
| Volumen | 32 |
| Número | 3 |
| Páginas | 450-459 |
| Fecha de publicación | 2025-01-14 |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Structural Equation Modeling: A Multidisciplinary Journal (JOURNAL) |
| Identificadores de la revista | ISSN: 1070-5511 • E-ISSN: 1532-8007 |
| Editorial | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10705511.2024.2442980 |
| OpenAlex | W4406351571 |
| Idioma | EN |
| Citas recibidas | 2 |
| Referencias citadas | 19 |
Data mining · Longitudinal data · Computer Science · Psychology · Statistical Methods and Bayesian Inference
How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power
Detecting, measuring, and testing dyadic patterns in the actor–partner interdependence model.
Bayesian Measures of Model Complexity and Fit
Fitting the Longitudinal Actor-Partner Interdependence Model as a Dynamic Structural Equation Model in M plus
Mediation Analyses of Intensive Longitudinal Data with Dynamic Structural Equation Modeling
Network Mapping with Gimme
Confidence Limits for the Indirect Effect
Representing Sudden Shifts in Intensive Dyadic Interaction Data Using Differential Equation Models with Regime Switching
Robustness Studies in Covariance Structure Modeling
The occurrence and correlates of emotional interdependence in romantic relationships
A three-dimensional taxonomy of achievement emotions
| Citas por año | 2 |
|---|---|
| Intervalo de citas | 2026 - 2026 (1) |
| Altamente citado | No |