Structural Equation Modeling (SEM): Concepts, Applications and Misconceptions

Larry Rivera (Editor)

Series: Mathematics Research Developments
BISAC: MAT029000



Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick


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Structural equation modeling (SEM) is a general, cross-sectional statistical modeling technique. The chapters in this book propose a Bayesian approach based on SEM; an examination of predictors and outcomes related to school climate using latent class analysis and the testing of specific effects and contrasts in three types of mediation models followed by a discussion on the common types of mediation models and their different types of effects.

(Imprint: Nova)


Chapter One
The Determinants of Capital Structure Choice for Chinese Listed Companies Based on Structural Equation Modeling Approach
(Xin-Dan Li, Xiang-Nan Feng, Bin Lu and Xin-Yuan Song, School of Management and Engineering, Nanjing University, China, and others)

Chapter Two
An Examination of Predictors and Outcomes Related to School Climate Using Latent Class
(Christine DiStefano, Elizabeth Leighton, Mihaela Ene and Diane M. Monrad, University of South Carolina, SC, USA)

Chapter Three
Assessing Mediation in Simple and Complex Models
(Thomas Ledermann, University of Basel, Switzerland and Siegfried Macho, University in Fribourg, Switzerland)


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