An Introduction to Structural Equation Modeling

نویسندگان

چکیده

Abstract Structural equation modeling is a multivariate data analysis method for analyzing complex relationships among constructs and indicators. To estimate structural models, researchers generally draw on two methods: covariance-based SEM (CB-SEM) partial least squares (PLS-SEM). Whereas CB-SEM primarily used to confirm theories, PLS represents causal–predictive approach that emphasizes prediction in estimating whose structures are designed provide causal explanations. PLS-SEM also useful confirming measurement models. This chapter offers concise overview of PLS-SEM’s key characteristics discusses the main differences compared CB-SEM. The describes considerations when using highlights situations favor its use

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Introduction to Structural Equation Modeling

In this contribution the principles behind Structural Equation Modeling (SEM) are presented. SEM is used for assessing the quality of models that are proposed on the basis of theory and experience. This contribution has an introductory level.

متن کامل

Structural Equation Modeling using AMOS: An Introduction

Section 1: Introduction .................................................................................................................... 2 1.1 About this Document/Prerequisites ....................................................................................... 2 1.2 Accessing AMOS ..............................................................................................................

متن کامل

Introduction to mediation analysis with structural equation modeling

In mediation, we consider an intermediate variable, called the mediator, that helps explain how or why an independent variable influences an outcome. In the context of a treatment study, it is often of great interest to identify and study the mechanisms by which an intervention achieves its effect. By investigating mediational processes that clarify how the treatment achieves the study outcome,...

متن کامل

An Introduction to Structural Equation Modeling (SEM) and the Partial Least Squares (PLS) Methodology

Over the past 15 years, the use of Partial Least Squares (PLS) in academic research has enjoyed increasing popularity in many social sciences including Information Systems, marketing, and organizational behavior. PLS can be considered an alternative to covariance-based SEM and has greater flexibility in handling various modeling problems in situations where it is difficult to meet the hard assu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Classroom companion: business

سال: 2021

ISSN: ['2662-2874', '2662-2866']

DOI: https://doi.org/10.1007/978-3-030-80519-7_1