Discovering structural equation modeling using Stata /
By: Acock, Alan C
Material type: BookPublisher: College Station, Tex. : Stata Press, c2013.Description: xxv, 306 p. ; ill. : 24 cm.ISBN: 9781597181396 (pbk.); 1597181390 (pbk.); 9781597181334; 1597181331Subject(s): Structural equation modeling | Statistics -- Computer programsDDC classification: 519.535 Online resources: Location MapItem type | Home library | Call number | Status | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 519.535 AC DI (Browse shelf) | Available | T0024321 | ||
REGULAR | University of Wollongong in Dubai Main Collection | 519.535 AC DI (Browse shelf) | Available | T0024322 |
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519.50973 PA ST Past, present, and future of statistical science | 519.53 BH NO Nonparametric statistical methods | 519.535 AC DI Discovering structural equation modeling using Stata / | 519.535 AC DI Discovering structural equation modeling using Stata / | 519.535 AG CA Categorical data analysis / | 519.535 BL IN Introduction to structural equation modelling using SPSS and AMOS / | 519.535 BL IN Introduction to structural equation modelling using SPSS and AMOS / |
Includes bibliographical references (p. [295]-296) and indexes.
Introduction to confirmatory factor analysis -- Using structural equation modeling for path models -- Structural equation modeling -- Latent growth curves -- Group comparisons -- Epilogue : what now? -- Graphical user interface -- Entering data from summary statistics.
Discovering Structural Equation Modeling Using Stata 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 covered 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, and you are encouraged to run the programs in a hands-on approach to learning. A particularly exciting feature of Stata is the SEM builder. This graphic interface for structural equation modeling allows you to draw publication-quality path diagrams and to fit the models without writing any programming code. When you fit a model with the SIM 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. A miminal background in multiple regression is sufficient to benefit from this text. While it would be helpful to have some experience with Stata, it is not essential. Though the primary audience is those who are new to structural equation modeling, those who are already familiar with it will find this text useful for the Stata code it covers. Overall, the text is intended to be practical and will serve as a useful reference --