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Discovering Structural Equation Mode..., Acock, Alan C.
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ApproximatelyS$ 60.37
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A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Item specifics
- Condition
- Book Title
- Discovering Structural Equation Modeling Using Stata: Revised ...
- ISBN
- 1597181390
- EAN
- 9781597181396
- Release Title
- Discovering Structural Equation Modeling Using Stata: Revised ...
- Artist
- Acock, Alan C.
- Brand
- N/A
- Colour
- N/A
About this product
Product Identifiers
Publisher
Statacorp LLC
ISBN-10
1597181390
ISBN-13
9781597181396
eBay Product ID (ePID)
170108632
Product Key Features
Number of Pages
306 Pages
Language
English
Publication Name
Discovering Structural Equation Modeling Using Stata : Revised Edition
Subject
Project Management, Probability & Statistics / General, General, Statistics
Publication Year
2013
Features
Revised
Type
Textbook
Subject Area
Mathematics, Social Science, Business & Economics
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
23.2 Oz
Item Length
9.3 in
Item Width
7.3 in
Additional Product Features
Intended Audience
College Audience
LCCN
2013-946346
Illustrated
Yes
Table Of Content
Introduction to confirmatory factor analysis Introduction The "do not even think about it" approach The principal component factor analysis approach Alpha reliability for our nine-item scale Generating a factor score rather than a mean or summative score What can CFA add? Fitting a CFA model Interpreting and presenting CFA results Assessing goodness of fit A two-factor model Parceling Extensions and what is next Exercises Using the SEM Builder to run a CFA Using structural equation modeling for path models Introduction Path model terminology A substantive example of a path model Estimating a model with correlated residuals Auxiliary variables Testing equality of coefficients A cross-lagged panel design Moderation Nonrecursive models Exercises Using the SEM Builder to run path models Structural equation modeling Introduction The classic example of a structural equation model Equality constraints Programming constraints Structural model with formative indicators Exercises Latent growth curves Discovering growth curves A simple growth curve model Identifying a growth curve model An example of a linear latent growth curve How can we add time-invariant covariates to our model? Explaining the random effects--time-varying covariates Constraining variances of error terms to be equal (optional) Exercises Group comparisons Interaction as a traditional approach to multiple-group comparisons The range of applications of Stata's multiple-group comparisons with sem A measurement model application Multiple-group path analysis Multiple-group comparisons of structural equation models Exercises Epilogue--what now? What is next? The graphical user interface Introduction Menus for Windows, Unix, and Mac Designing a structural equation model Drawing an SEM model Fitting a structural equation model Postestimation commands Clearing preferences and restoring the defaults B Entering data from summary statistics
Edition Description
Revised edition
Synopsis
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.
LC Classification Number
QA278.3
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Seller feedback (273,108)
- 9***9 (1318)- Feedback left by buyer.Past monthVerified purchaseGreat item, Awesome seller, Fast shipping, A++++
- 3***a (15)- Feedback left by buyer.Past monthVerified purchaseThe book was exactly as described and arrived quickly. Thank you!
- c***1 (4679)- Feedback left by buyer.Past monthVerified purchaseSmooth transaction. Thanks.