Modeling dependent effect sizes with three-level meta-analyses: a structural equation modeling approach.
MWL Cheung - Psychological methods, 2014 - psycnet.apa.org
Meta-analysis is an indispensable tool used to synthesize research findings in the social,
educational, medical, management, and behavioral sciences. Most meta-analytic models …
educational, medical, management, and behavioral sciences. Most meta-analytic models …
The use of causal indicators in covariance structure models: some practical issues.
RC MacCallum, MW Browne - Psychological bulletin, 1993 - psycnet.apa.org
In conventional representations of covariance structure models, indicators are defined as
linear functions of latent variables, plus error. In an alternative representation, constructs can …
linear functions of latent variables, plus error. In an alternative representation, constructs can …
Testing prospective effects in longitudinal research: Comparing seven competing cross-lagged models.
U Orth, DA Clark, MB Donnellan… - Journal of personality …, 2021 - psycnet.apa.org
In virtually all areas of psychology, the question of whether a particular construct has a
prospective effect on another is of fundamental importance. For decades, the cross-lagged …
prospective effect on another is of fundamental importance. For decades, the cross-lagged …
[图书][B] Composite-based structural equation modeling: Analyzing latent and emergent variables
J Henseler - 2020 - books.google.com
This book presents powerful tools for integrating interrelated composites--such as
capabilities, policies, treatments, indices, and systems--into structural equation modeling …
capabilities, policies, treatments, indices, and systems--into structural equation modeling …
Partial least squares path modeling
J Henseler - Advanced methods for modeling markets, 2017 - Springer
Structural equation modeling (SEM) is a family of statistical techniques that has become very
popular in marketing. Its ability to model latent variables, to take various forms of …
popular in marketing. Its ability to model latent variables, to take various forms of …
Using PLS path modeling in new technology research: updated guidelines
J Henseler, G Hubona, PA Ray - Industrial management & data …, 2016 - emerald.com
Purpose Partial least squares (PLS) path modeling is a variance-based structural equation
modeling (SEM) technique that is widely applied in business and social sciences. Its ability …
modeling (SEM) technique that is widely applied in business and social sciences. Its ability …
[图书][B] Latent variable path modeling with partial least squares
JB Lohmöller - 2013 - books.google.com
Partial Least Squares (PLS) is an estimation method and an algorithm for latent variable
path (LVP) models. PLS is a component technique and estimates the latent variables as …
path (LVP) models. PLS is a component technique and estimates the latent variables as …
[图书][B] Longitudinal structural equation modeling
TD Little - 2024 - books.google.com
This valuable book is now in a fully updated second edition that presents the latest
developments in longitudinal structural equation modeling (SEM) and new chapters on …
developments in longitudinal structural equation modeling (SEM) and new chapters on …
[图书][B] Handbook of structural equation modeling
RH Hoyle - 2012 - books.google.com
Page 1 Tºlº" - iJ- Tº- Fºº F. HANDBOOKOF STRUCTURAL EQUATION MODELING | Dnep by
FICK H. HOYLE Page 2 ebook THE GUILFORD PRESS Page 3 Handbook of Structural …
FICK H. HOYLE Page 2 ebook THE GUILFORD PRESS Page 3 Handbook of Structural …
The separation of between-person and within-person components of individual change over time: a latent curve model with structured residuals.
Objective: Although recent statistical and computational developments allow for the
empirical testing of psychological theories in ways not previously possible, one particularly …
empirical testing of psychological theories in ways not previously possible, one particularly …