Structural Equation Modeling for Health and Medicine

Structural equation modeling (SEM) is a versatile multivariate technique used to examine relationships among variables. This textbook aims to make SEM accessible to researchers across disciplines, particularly in health and medicine. It covers basic, intermediate, and advanced SEM topics, with detailed applications and examples relevant to these fields. The authors, who are SEM experts, provide a broad understanding of the issues faced by clinical and health services researchers and decision scientists, offering practical tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.

Format: Hardback
Length: 300 pages
Publication date: 12 April 2021
Publisher: Taylor & Francis Ltd

Structural equation modeling (SEM) is a versatile and comprehensive multivariate technique that enables the exploration of relationships among variables. With its origins in the social sciences, the goal of this textbook is to make SEM accessible to a broader audience of researchers across various disciplines, particularly in the fields of health and medicine. SEM finds widespread application in practice for modeling and testing hypothesized causal relationships between observed and latent (unobserved) variables, spanning across time and groups. It can be regarded as a fusion of conceptual models, path diagrams, confirmatory factor analysis, and path analysis.

In this textbook, the authors delve into various techniques, such as mixture modeling, which enhance the capabilities of SEM by incorporating both continuous and categorical latent variables. The book covers a range of topics, catering to both novice and experienced SEM researchers. It addresses substantive issues in health and medicine within the context of SEM, providing practical examples and illustrations to enhance understanding.

The authors, who are SEM experts positioned among clinicians and multidisciplinary researchers in medical settings, offer a comprehensive and up-to-date understanding of the challenges faced by clinical and health services researchers and decision scientists. This book equips health and medical researchers with the tools necessary to employ SEM approaches to study intricate relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales. By leveraging the power of SEM, researchers can gain deeper insights into complex health and medical phenomena, contributing to advancements in the field.

Weight: 772g
Dimension: 184 x 262 x 25 (mm)
ISBN-13: 9781138574250