How to Evaluate Causal Dominance Hypotheses in Lagged Effects Models
Bibliographic Data
| ID | 21641801 |
|---|---|
| Authors | Chuenjai Sukpan (0000-0002-4831-1540, Utrecht University, corresponding author), Rebecca M Kuiper (0000-0002-0267-5197, Utrecht University) |
| Year | 2024 |
| Volume | 31 |
| Issue | 3 |
| Pages | 404-419 |
| Publication date | 2024-05-03 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Structural Equation Modeling: A Multidisciplinary Journal (JOURNAL) |
| Journal identifiers | ISSN: 1070-5511 • E-ISSN: 1532-8007 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10705511.2023.2265065 |
| OpenAlex | W4388518238 |
| Language | EN |
| Citations received | 2 |
| References cited | 36 |
The (Random Intercept) Cross-Lagged Panel Model ((RI-)CLPM) is increasingly used in psychology and related fields to assess the longitudinal relationship of two or more variables on each other.Researchers are interested in the question which of the lagged effects is causally dominant receives considerable attention.However, currently used methods do not allow for the evaluation of causal dominance hypotheses.This paper will show the performance of the Generalized Order-Restricted Information Criterion Approximation (GORICA), an extension of Akaike's Information Criterion (AIC), in the context of causal dominance hypotheses using a simulation study.The GORICA proves to be an adequate method to evaluate causal dominance in lagged effects models
Akaike information criterion · Biology · Causal inference · Causal model · Econometrics · Statistics · Functional Brain Connectivity Studies · Mathematics · Mental Health Research Topics · Psychology · Spatial and Panel Data Analysis
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| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |