Results 201 to 210 of about 3,495,586 (261)

Structural equation modeling with EQS : basic concepts, applications, and programming

, 2000
Contents: Part I: Introduction. Structural Equation Models: The Basics. Using the EQS Program. Part II: Single-Group Analyses. Application 1: Testing for the Factorial Validity of a Theoretical Construct (First-Order CFA Model).
B. Byrne
semanticscholar   +1 more source

A Beginner's Guide to Structural Equation Modeling

Technometrics, 2005
tical methods. The book does a good job explaining some fundamental computational methods in statistics and econometrics. I have no doubt that this book will serve students well as a reference book for upper-level undergraduate courses or graduate ...
D. Finkelstein
semanticscholar   +1 more source

Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review

, 2006
The authors provide a basic set of guidelines and recommendations for information that should be included in any manuscript that has confirmatory factor analysis or structural equation modeling as the primary statistical analysis technique.
James B. Schreiber, Amaury Nora, Frances K. Stage, Elizabeth A. Barlow, J. King   +4 more
semanticscholar   +1 more source

Structural Equation Modeling

2011
Structural equation modeling (SEM) is a multivariate statistical framework that is used to model complex relationships between directly and indirectly observed (latent) variables. SEM is a general framework that involves simultaneously solving systems of linear equations and encompasses other techniques such as regression, factor analysis, path ...
Catherine M, Stein, Nathan J, Morris, Nora L, Nock   +2 more
openaire   +2 more sources

A primer on partial least squares structural equation modeling (PLS-SEM)

, 2015
Although structural equation modelling (SEM) is a popular statistical technique for multivariate data analysis in social and behavioural sciences, its use in education has massified more recently.
A. Leguina
semanticscholar   +1 more source

Testing mediational models with longitudinal data: questions and tips in the use of structural equation modeling.

Journal of Abnormal Psychology, 2003
R. M. Baron and D. A. Kenny (1986; see record 1987-13085-001) provided clarion conceptual and methodological guidelines for testing mediational models with cross-sectional data.
D. Cole, S. Maxwell
semanticscholar   +1 more source

Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It

IEEE Transactions on Professional Communication, 2014
Problem: Partial least squares (PLS), a form of structural equation modeling (SEM), can provide much value for causal inquiry in communication-related and behavioral research fields.
P. Lowry, J. Gaskin
semanticscholar   +1 more source

Structural Equation Modeling: Applications Using Mplus

, 2012
A reference guide for applications of SEM using MplusStructural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide.
Jichuan Wang, Xiaoqian Wang
semanticscholar   +1 more source

A Brief Guide to Structural Equation Modeling

, 2006
To complement recent articles in this journal on structural equation modeling (SEM) practice and principles by Martens and by Quintana and Maxwell, respectively, the authors offer a consumer’s guide to SEM.
Rebecca Weston, P. Gore
semanticscholar   +1 more source

EXAMINING THE PSYCHOMETRIC PROPERTIES OF A MALAYSIAN RELEVANCE OF SCIENCE EDUCATION (MROSE) QUESTIONNAIRE USING PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM)

SCIENCE AND TECHNOLOGY EDUCATION: CURRENT CHALLENGES AND POSSIBLE SOLUTIONS, 2019
This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students’ interests, attitudes, values, and priorities in S&T-related issues.
L. Fah, Ng Khar Thoe, K. Hoon, Chan Sane Hwui   +3 more
semanticscholar   +1 more source