資料來源: Google Book
A beginner's guide to structural equation modeling
- 作者: Schumacker, Randall E.
- 其他作者: Lomax, Richard G.
- 出版: Mahwah, N.J. : Lawrence Erlbaum Associates 2004.
- 版本: 2nd ed.
- 稽核項: 1 online resource (xii, 498 pages) :illustrations.
- 標題: Probability & StatisticsMultivariate Analysis. , Multivariate analysis. , Structurele vergelijkingen. , Social sciences Statistical methods. , Statistical methods. , Electronic books. , Statistische modellen. , MATHEMATICS , MATHEMATICS Probability & Statistics -- Multivariate Analysis. , Social sciences
- ISBN: 0805840184 , 9780805840186
- ISBN: 0805840176 , 0805840184
- 試查全文@TNUA:
- 附註: Includes bibliographical references and indexes. BOOK COVER; TITLE; COPYRIGHT; DEDICATION; CONTENTS; PREFACE; CHAPTER 1 INTRODUCTION; CHAPTER 2 DATA ENTRY AND DATA EDITING ISSUES; CHAPTER 3 CORRELATION; CHAPTER 4 SEM BASICS; CHAPTER 5 MODEL FIT; CHAPTER 6 REGRESSION MODELS; CHAPTER 7 PATH MODELS; CHAPTER 8 CONFIRMATORY FACTOR MODELS; CHAPTER 9 DEVELOPING STRUCTURAL EQUATION MODELS. PART I; CHAPTER 10 DEVELOPING STRUCTURAL EQUATION MODELS. PART II; CHAPTER 11 REPORTING SEM RESEARCH; CHAPTER 12 MODEL VALIDATION; CHAPTER 13 SEM APPLICATIONS. PART I; CHAPTER 14 SEM APPLICATIONS. PART II.
- 摘要: An introduction to structural equation modeling, this text focuses on the conceptual steps taken in analyzing theoretical models. It reviews correlation and covariance, followed by multiple regression, path and factor analysis techniques. The goal is to enable the reader to conduct their own SEM analysis and understand and critique SEM research.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=112918
- 系統號: 005309527
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
This revised edition is intended to give students and researchers a basic understanding of SEM, focusing on the conceptual steps one takes in analyzing theoretical models. SEM is useful in statistical methods courses in social science, education, business, medicine, and biological studies.
來源: Google Book
來源: Google Book
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