Path and Direction Discovery in Individual Dynamic Factor Models: A Regularized Hybrid Unified Structural Equation Modeling with Latent Variable-Reference-Cited by-同舟云学术

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Path and Direction Discovery in Individual Dynamic Factor Models: A Regularized Hybrid Unified Structural Equation Modeling with Latent Variable

Published:2024-07-26 Issue: Volume: Page:1-24
ISSN:0027-3171
Container-title:Multivariate Behavioral Research
language:en
Short-container-title:Multivariate Behavioral Research

Author:

Ye Ai¹,Bollen Kenneth A.²

Affiliation:

1. Lehrstuhl für Psychologische Methodenlehre & Diagnostik, Department Psychologie, Ludwig-Maximilians-Universität München, Munich, Germany

2. Department of Psychology and Neuroscience, Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00273171.2024.2354232

Reference48 articles.

1. Sparse time series chain graphical models for reconstructing genetic networks

2. Dynamic Structural Equation Models

3. THE STATISTICAL CONCEPTION OF MENTAL FACTORS

4. An introduction to model implied instrumental variables using two stage least squares (MIIV-2SLS) in structural equation models (SEMs).

5. Robustness Conditions for MIIV-2SLS When the Latent Variable or Measurement Model is Structurally Misspecified

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