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Discovering Structural Equation Modeling Using Stata, Revised Edition is devoted to Stata’s sem command and all it can do. Learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. Each model is presented along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. The datasets used are downloadable, offering a hands-on approach to learning.
A particularly exciting feature of Stata is the SEM Builder. This graphical interface for structural equation modeling allows you to draw publication-quality path diagrams and fit the models without writing any programming code. When you fit a model with the SEM Builder, Stata automatically generates the complete code that you can save for future use. Use of this unique tool is extensively covered in an appendix and brief examples appear throughout the text.
Über die Autorin bzw. den Autor:
Alan C. Acock is a sociologist and a University Distinguished Professor in the School of Social and Behavioral Health Sciences at Oregon State University. He was also recognized as the Alumni Distinguished Professor based on his work with students. He has published more than 130 articles in leading journals across the social and behavioral sciences, including Structural Equation Modeling, Psychological Bulletin, Multivariate Behavioral Research, Journal of Gerontology, Journal of Adolescence, American Journal of Public Health, American Sociological Review, Journal of Marriage and Family, Social Forces, Educational and Psychological Measurement, Journal of Politics, Prevention Science, and American Journal of Preventive Medicine. He also authored the text A Gentle Introduction to Stata.
Titel: Discovering Structural Equation Modeling ...
Verlag: Stata Press
Erscheinungsdatum: 2013
Einband: Softcover
Zustand: New
Anbieter: Speedyhen, London, Vereinigtes Königreich
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Buch. Zustand: New. Alan C. Acock is a sociologist and a University Distinguished Professor in the School of Social and Behavioral Health Sciences at Oregon State University. He was also recognized as the Alumni Distinguished Professor based on his work wit. Artikel-Nr. 614595910
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Paperback. Zustand: Brand New. revised edition. 306 pages. 11.00x9.00x1.00 inches. In Stock. Artikel-Nr. __1597181390
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Taschenbuch. Zustand: Neu. Neuware - Discovering Structural Equation Modeling Using Stata, Revised Edition is devoted to Stata's sem command and all it can do. Learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. Each model is presented along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. The datasets used are downloadable, offering a hands-on approach to learning. A particularly exciting feature of Stata is the SEM Builder. This graphical interface for structural equation modeling allows you to draw publication-quality path diagrams and fit the models without writing any programming code. When you fit a model with the SEM Builder, Stata automatically generates the complete code that you can save for future use. Use of this unique tool is extensively covered in an appendix and brief examples appear throughout the text. Artikel-Nr. 9781597181396
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. FT-9781597181396
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Taschenbuch. Zustand: Neu. Discovering Structural Equation Modeling Using Stata | Revised Edition | Alan C. Acock | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2013 | Stata Press | EAN 9781597181396 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Artikel-Nr. 121069944
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Zustand: New. 2013. 1st Edition. Paperback. Num Pages: 306 pages, illustrations. BIC Classification: JMB; PBT; UFM. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 183 x 233 x 18. Weight in Grams: 664. . . . . . Books ship from the US and Ireland. Artikel-Nr. V9781597181396
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