Structural equation modeling in organizational research: The state of our science and some proposals for its future

MJ Zyphur, CV Bonner, L Tay - Annual Review of Organizational …, 2023 - annualreviews.org
The use of structural equation modeling (SEM) has grown substantially over the past 40
years within organizational research and beyond. There have been many different …

The within-between dispute in cross-lagged panel research and how to move forward.

EL Hamaker - Psychological Methods, 2023 - psycnet.apa.org
How to model cross-lagged relations in panel data continues to be a source of disagreement
in psychological research. While the cross-lagged panel model (CLPM) was the modeling …

[HTML][HTML] Insight into the dynamics of time-dependent cross nanofluid on a melting surface subject to cubic autocatalysis

SZH Shah, A Ayub, Z Sabir, W Adel, NA Shah… - Case Studies in Thermal …, 2021 - Elsevier
Current work unfolds the transport of energy of blood containing nanoparticles of iron oxide
(Fe 3 O 4) and mass transport is focalized by considering the homogeneous-heterogeneous …

Methodological issues in analyzing real-world longitudinal occupational health data: a useful guide to approaching the topic

R Colin-Chevalier, F Dutheil, S Cambier… - International Journal of …, 2022 - mdpi.com
Ever greater technological advances and democratization of digital tools such as computers
and smartphones offer researchers new possibilities to collect large amounts of health data …

Demystifying longitudinal data analyses using structural equation models in school psychology

GJ Hall, KN Clark - Journal of School Psychology, 2023 - Elsevier
Structural equation models (SEM) are a method of latent variable analysis that offer a high
degree of flexibility in terms of modeling methods for applied research questions. Recent …

Comparing revised latent state–trait models including autoregressive effects.

N Stadtbaeumer, S Kreissl, A Mayer - Psychological Methods, 2024 - psycnet.apa.org
Understanding the longitudinal dynamics of behavior, their stability and change over time,
are of great interest in the social and behavioral sciences. Researchers investigate the …

Opaque prior distributions in Bayesian latent variable models

EC Merkle, O Ariyo, SD Winter… - arXiv preprint arXiv …, 2023 - arxiv.org
We review common situations in Bayesian latent variable models where the prior distribution
that a researcher specifies differs from the prior distribution used during estimation. These …

Longitudinal processes among humility, social justice activism, transcendence, and well-being

PJ Jankowski, SJ Sandage, DC Wang… - Frontiers in …, 2024 - frontiersin.org
Introduction Existing research shows positive associations between humility and well-being,
and between civic engagement and well-being. Rarely have humility, civic engagement, and …

Fitting Cross-Lagged Panel Models with the Residual Structural Equations Approach

MC Tseng - Structural Equation Modeling: A Multidisciplinary …, 2024 - Taylor & Francis
This study simplifies the seven different cross-lagged panel models (CLPMs) by using the
RSEM model for both inter-individual and intra-individual structures. In addition, the study …

Latent Interaction Effect in the CLPM Model: A Two-Step Multiple Imputation Analysis

MC Tseng - Structural Equation Modeling: A Multidisciplinary …, 2024 - Taylor & Francis
This study aims to estimate the latent interaction effect in the CLPM model through a two-
step multiple imputation analysis. The estimation of within× within and between× within …