Structural Equation Modeling Using R/SAS

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Sprache: Englisch

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Beschreibung

There has been considerable attention to making the methodologies of structural equation modeling available to researchers, practitioners, and students along with commonly used software. Structural Equation Modelling Using R/SAS aims to bring it all together to provide a concise point-of-reference.

Über den Autor

Ding-Geng Chen, Ph.D. Professor and Executive Director in Biostatistics College of Health Solutions Arizona State University, USA.

Yiu-Fai Yung, Ph.D. Senior Manager, Advanced Analytics R & D, SAS Institute Inc.

Inhaltsverzeichnis

1. Linear Regression to Path Analysis 2. Latent Variables - Confirmatory Factor Analysis 3. Mediation Analysis 4. Structural Equation Modeling with Non-Normal Data 5. Structural Equation Modeling with Categorical Data 6. Multi-Group Data Analysis: Continuous Data 7. Multi-Group Data Analysis: Categorical Data 8. Pain-Related Disability for People with Temporomandibular Disorder: Full Structural Equation Modeling 9. Breast-Cancer Post-Surgery Assessment-Latent Growth-Curve Modeling 10. Full Longitudinal Mediation Modeling 11. Multi-Level Structural Equation Modeling 12. Sample Size Determination and Power Analysis

Details

Erscheinungsjahr:	2023
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Importe , Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Inhalt:	Einband - fest (Hardcover)
ISBN-13:	9781032431239
ISBN-10:	1032431237
Sprache:	Englisch
Einband:	Gebunden
Autor:	Chen, Ding-Geng Yung, Yiu-Fai
Hersteller:	Chapman and Hall/CRC
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	240 x 161 x 28 mm
Von/Mit:	Ding-Geng Chen (u. a.)
Erscheinungsdatum:	21.08.2023
Gewicht:	0,807 kg