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Titlebook: Evidence-Based Health Care Management; Multivariate Modelin Thomas T. H. Wan Book 2002 Springer Science+Business Media New York 2002 care.d

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發(fā)表于 2025-3-21 18:43:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Evidence-Based Health Care Management
副標(biāo)題Multivariate Modelin
編輯Thomas T. H. Wan
視頻videohttp://file.papertrans.cn/318/317543/317543.mp4
圖書封面Titlebook: Evidence-Based Health Care Management; Multivariate Modelin Thomas T. H. Wan Book 2002 Springer Science+Business Media New York 2002 care.d
描述.Evidence-Based Health Care Management. introduces theprinciples and methods for drawing sound causal inferences in researchon health services management. The emphasis is on the application ofstructural equation modeling techniques and other analytical methodsto develop causal models in health care management. Topics includecausality, theoretical model building, and model verification.Multivariate modeling approaches and their applications in health caremanagement are illustrated..The primary goals of the book are to present advanced principles ofhealth services management research and to familiarize students withthe multivariate analytic methods and procedures now in use inscientific research on health care management. The hope is to helphealth care managers become better equipped to use causal modelingtechniques for problem solving and decision making..Evidence-based knowledge is derived from scientific replication andverification of facts. Used consistently and appropriately, it enablesa health care manager to improve organizational performance. Causalinference in health care management is a highly feasible approach toestablishing evidence-based knowledge that can help navigate
出版日期Book 2002
關(guān)鍵詞care; decision making; foundation; growth; health; health care management; latent variables; management; mod
版次1
doihttps://doi.org/10.1007/978-1-4615-0795-6
isbn_softcover978-1-4613-5243-3
isbn_ebook978-1-4615-0795-6
copyrightSpringer Science+Business Media New York 2002
The information of publication is updating

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A. W. (Bill) Anscombe,Emma Rush models were developed for understanding how contextual, structural, and design factors may influence organizational performance. The structural relationships among these variables were empirically examined by using LISREL, AMOS, and/or Mplus programs.
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https://doi.org/10.1007/978-3-319-94652-8In this chapter, we introduce structural equation modeling, or the analysis of Linear Structural Relations (LISREL).
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https://doi.org/10.1007/978-3-030-83010-6In this chapter, we present LISREL’s measurement model in the context of confirmatory factor analysis (CFA).
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Introduction to Structural Equation Modeling,In this chapter, we introduce structural equation modeling, or the analysis of Linear Structural Relations (LISREL).
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