Latent variable models :an introduction to factor, path, and structural equation analysis
- 作者: Loehlin, John C.
- 出版: Mahwah, N.J. : L. Erlbaum Associates 2004.
- 版本: 4th ed.
- 稽核項: 1 online resource (xi, 317 pages) :illustrations.
- 標題: Latent variables. , Electronic books. , Probability & StatisticsMultivariate Analysis. , Factor Analysis, Statistical. , MATHEMATICS Probability & Statistics -- Multivariate Analysis. , Latent structure analysis. , MATHEMATICS , Factor analysis. , Path analysis (Statistics)
- ISBN: 0805849106 , 9780805849103
- ISBN: 0805849092 , 0805849106
- 試查全文@TNUA:
- 附註: Includes bibliographical references (pages 276-308) and index. Preface; Chapter One: Path models in factor, path, and structural equation analysis; Chapter Two: Fitting path models; Chapter Three: Fitting path and structural models to data from a single group on a single occasion; Chapter Four: Fitting models involving repeated measures or multiple groups; Chapter Five: Exploratory factor analysis -- basics; Chapter Six: Exploratory factor analysis -- elaborations; Chapter Seven: Issues in the application of latent variable analysis; Appendices; Answers to exercises; References; Index.
- 摘要: This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation modeling more easily.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=109915
- 系統號: 005308465
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation modeling more easily. A few sections of the book make use of elementary matrix algebra. An appendix on the topic is provided for those who need a review. The author maintains an informal style so as to increase the book's accessibility. Notes at the end of each chapter provide some of the more technical details. The book is not tied to a particular computer program, but special attention is paid to LISREL, EQS, AMOS, and Mx. New in the fourth edition of Latent Variable Models: *a data CD that features the correlation and covariance matrices used in the exercises; *new sections on missing data, non-normality, mediation, factorial invariance, and automating the construction of path diagrams; and *reorganization of chapters 3-7 to enhance the flow of the book and its flexibility for teaching. Intended for advanced students and researchers in the areas of social, educational, clinical, industrial, consumer, personality, and developmental psychology, sociology, political science, and marketing, some prior familiarity with correlation and regression is helpful.
來源: Google Book
來源: Google Book
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