A structural after measurement approach to structural equation modeling.

Y Rosseel, WW Loh - Psychological Methods, 2022 - psycnet.apa.org
In structural equation modeling (SEM), the measurement and structural parts of the model
are usually estimated simultaneously. In this article, we revisit the long-standing idea that we …

Testing and Interpreting Latent Variable Interactions Using the semTools Package

AM Schoemann, TD Jorgensen - Psych, 2021 - mdpi.com
Examining interactions among predictors is an important part of a develo** research
program. Estimating interactions using latent variables provides additional power to detect …

Does adolescents' social anxiety trigger problematic smartphone use, or vice versa? A comparison between problematic and unproblematic smartphone users

XY Wei, L Ren, HB Jiang, C Liu, HX Wang… - Computers in Human …, 2023 - Elsevier
Smartphone provides diverse indirect communication channels for users, which may attract
people with social anxiety. Due to the high risk of develo** social anxiety and problematic …

Estimating power in complex nonlinear structural equation modeling including moderation effects: The powerNLSEM R-package

JP Irmer, AG Klein, K Schermelleh-Engel - Behavior research methods, 2024 - Springer
The model-implied simulation-based power estimation (MSPE) approach is a new general
method for power estimation (Irmer et al.,). MSPE was developed especially for power …

Comparing Factor Score Approaches to SEM in Multigroup Models with Small Samples

E Somer, C Falk, M Miočević - Structural Equation Modeling: A …, 2024 - Taylor & Francis
Abstract Factor Score Regression (FSR) is increasingly employed as an alternative to
structural equation modeling (SEM) in small samples. Despite its popularity in psychology …

Work-family conflict and job stress among seafarers: the moderating role of job satisfaction

Y Liu, J An, Y Sun, C Liu - Psychology, health & medicine, 2022 - Taylor & Francis
Work-family conflict (WFC) is not only prevalent among seafarers but also may cause their
job stress. The objective of this research is to investigate the relationship between WFC and …

Accommodating a latent XM interaction in statistical mediation analysis

O Gonzalez, MJ Valente - Multivariate Behavioral Research, 2023 - Taylor & Francis
Statistical mediation analysis is used in the social sciences and public health to uncover
potential mechanisms, known as mediators, by which a treatment led to a change in an …

Croon's bias-corrected estimation for multilevel structural equation models with latent interactions

K Cox, B Kelcey, F Bai - Structural Equation Modeling: A …, 2023 - Taylor & Francis
Consideration of moderation effects is important in a range of substantive applications that
include nested data and latent variables. A critical limitation in multilevel structural equation …

Estimating latent baseline-by-treatment interactions in statistical mediation analysis

O Gonzalez, JR Millechek… - … Equation Modeling: A …, 2023 - Taylor & Francis
Statistical mediation analysis is used to uncover intermediate variables, known as mediators
[M], that explain how a treatment [X] changes an outcome [Y]. Often, researchers examine …

Investigating moderation effects at the within-person level using intensive longitudinal data: A two-level dynamic structural equation modelling approach in Mplus

LG Speyer, AL Murray, R Kievit - Multivariate Behavioral Research, 2024 - Taylor & Francis
Recent technological advances have provided new opportunities for the collection of
intensive longitudinal data. Using methods such as dynamic structural equation modeling …