Multivariate Modeling Approaches
Buch, Englisch, 233 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1200 g
ISBN: 978-0-7923-7485-5
Verlag: Springer US
The primary goals of the book are to present advanced principles of health services management research and to familiarize students with the multivariate analytic methods and procedures now in use in scientific research on health care management. The hope is to help health care managers become better equipped to use causal modeling techniques for problem solving and decision making.
Evidence-based knowledge is derived from scientific replication and verification of facts. Used consistently and appropriately, it enables a health care manager to improve organizational performance. Causal inference in health care management is a highly feasible approach to establishing evidence-based knowledge that can help navigate an organization to high performance. This book introduces the principles and methods for drawing causal inferences in research on health services management.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Volkswirtschaftslehre Gesundheitsökonomie
- Sozialwissenschaften Politikwissenschaft Regierungspolitik Sozialpolitik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
- Wirtschaftswissenschaften Volkswirtschaftslehre Wirtschaftspolitik, politische Ökonomie
Weitere Infos & Material
Chapter1 An Introduction to Evidence-Based Management of Health Care.- 2 Causal Inference: Foundations for Health Care Managerial Decision-Making.- 3 Research on Health Services Management: The Search for Structure.- 4 Exploratory Analytical Modeling Methods.- 5 Introduction to Structural Equation Modeling.- 6 Confirmatory Factor Analysis.- 7 Structural Equations for Directly Observed Variables: Recursive and Non-Recursive Models.- 8 Structural Equation Models with Latent Variables.- 9 Covariance Structure Models.- 10 Multiple Group Comparison with Panel Data.- 11 Multilevel Covariance Modeling.- 12 Growth Curve Modeling with Longitudinal Data.- 13 Epilogue.