A Practical Guide to Using SEM Forests for Specification Search in Structural Equation Modeling
Bibliographic Data
| ID | 12424905 |
|---|---|
| Authors | John Alexander Silva Díaz (0009-0004-3156-0809, Ludwig-Maximilians-Universität München, corresponding author), Moritz Heene (0009-0007-4956-2417, Ludwig-Maximilians-Universität München), Stefan Ufer (0000-0002-3187-3459, Ludwig-Maximilians-Universität München) |
| Year | 2025 |
| Volume | 33 |
| Issue | 1 |
| Pages | 145-156 |
| Publication date | 2025-07-21 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Structural Equation Modeling: A Multidisciplinary Journal (JOURNAL) |
| Journal identifiers | ISSN: 1070-5511 • E-ISSN: 1532-8007 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10705511.2025.2526028 |
| OpenAlex | W4412531210 |
| Language | EN |
| Citations received | 1 |
| References cited | 25 |
Machine learning · Structural equation modeling · Advanced Statistical Modeling Techniques · Computer Science · Psychometric Methodologies and Testing · Statistical Methods and Applications
Testing Structural Equation Models or Detection of Misspecifications?
An introduction to recursive partitioning
Potential problems with "well fitting" models.
Bias in random forest variable importance measures
PDP
Random Forests
Mice
Die Rolle des Selbstkonzepts im Mathematikstudium – Wie fit fühlen sich Studierende in Mathematik
Missing-Data Adjustments in Large Surveys
The Impact of Specification Error on the Estimation, Testing, and Improvement of Structural Equation Models
Evaluation of Structural Equation Model Forests' Performance to Identify Omitted Influential Covariates
Specification searches in covariance structure modeling
Model modifications in covariance structure analysis
Principles and Practice of Structural Equation Modeling
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |