000 02566nam a22002657a 4500
999 _c23219
_d23219
001 56384
010 _a 2013946346
020 _a9781597181396 (pbk.)
020 _a1597181390 (pbk.)
020 _a9781597181334
020 _a1597181331
040 _aYDXCP
082 0 4 _a519.535
100 1 _aAcock, Alan C.,
_d1944-
_958885
245 1 0 _aDiscovering structural equation modeling using Stata /
_cAlan C. Acock.
260 _aCollege Station, Tex. :
_bStata Press,
_cc2013.
300 _axxv, 306 p. ;
_bill. :
_c24 cm.
504 _aIncludes bibliographical references (p. [295]-296) and indexes.
505 0 _aIntroduction 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.
520 3 _aDiscovering 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 --
650 0 _aStructural equation modeling.
_925750
650 0 _aStatistics
_xComputer programs.
_936424
856 _uhttps://uowd.box.com/s/qb1me0s3046evk008bsvl8f0v0cngh64
_zLocation Map
942 _cREGULAR
_2ddc