Discovering Structural Equation Modeling using Stata (Record no. 580)

000 -LEADER
fixed length control field 03765nam a2200265Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field DE-boiza
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20191028120815.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190909
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-1-597-18133-4
040 ## - CATALOGING SOURCE
Transcribing agency IZA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Acock, Alan C.
9 (RLIN) 1834
245 #0 - TITLE STATEMENT
Title Discovering Structural Equation Modeling using Stata
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2013
Name of publisher, distributor, etc. Stata Press,
Place of publication, distribution, etc. College Station, Tex.,
300 ## - PHYSICAL DESCRIPTION
Extent 304 pages
340 ## - PHYSICAL MEDIUM
Location within medium C1 113
520 ## - SUMMARY, ETC.
Summary, etc. Discovering Structural Equation Modeling Using Stata, Revised Edition, by Alan Acock, successfully introduces both the statistical principles involved in structural equation modeling (SEM) and the use of Stata to fit these models. The book uses an application-based approach to teaching SEM. Acock demonstrates how to fit a wide variety of models that fall within the SEM framework and provides datasets that enable the reader to follow along with each example. As each type of model is discussed, concepts such as identification, handling of missing data, model evaluation, and interpretation are covered in detail.<br/><br/>In Stata, structural equation models can be fit using the command language or the graphical user interface (GUI) for SEM, known as the SEM Builder. The book demonstrates both of these approaches. Throughout the text, the examples use the sem command. Each chapter also includes brief discussions on drawing the appropriate path diagram and performing estimation from within the SEM Builder. A more in-depth coverage of the SEM Builder is given in one of the book’s appendixes.<br/><br/>The first two chapters introduce the building blocks of SEM. Chapter 1 begins with overviews of Cronbach’s alpha as a measure of reliability and of exploratory factor analysis. Then, building on these concepts, Acock demonstrates how to perform confirmatory factor analysis, discusses a variety of statistics available for assessing the fit of the model, and shows a more general measurement of reliability that is based on confirmatory factor analysis. Chapter 2 focuses on using SEM to perform path analysis. It includes examples of mediation, moderation, cross-lagged panel models, and nonrecursive models.<br/><br/>Chapter 3 demonstrates how to combine the topics covered in the first two chapters to fit full structural equation models. The use of modification indices to guide model modification and computation of direct, indirect, and total effects for full structural equation models are also covered.<br/><br/>Chapter 4 details the application of SEM to growth curve modeling. After introducing the basic linear latent growth curve model, Acock extends this to more complex cases such as the inclusion of quadratic terms, time-varying covariates, and time-invariant covariates.<br/><br/>In chapter 5, Acock discusses testing for differences across groups in SEM. He introduces the specialized sem syntax for multiple-group models and discusses the intricacies of testing for group differences for the different types of models presented in the preceding chapters.<br/><br/>The Revised Edition includes output, syntax, and instructions for fitting models with the SEM Builder that have been updated for Stata 13.<br/><br/>Discovering Structural Equation Modeling Using Stata, Revised Edition is an excellent resource both for those who are new to SEM and for those who are familiar with SEM but new to fitting these models in Stata. It is useful as a text for courses covering SEM as well as for researchers performing SEM.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Stata
9 (RLIN) 958
Topical term or geographic name entry element statistical method
9 (RLIN) 1835
Topical term or geographic name entry element Stata
9 (RLIN) 958
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term methodology
Uncontrolled term structural equation modeling
Uncontrolled term statistical software
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.stata.com/bookstore/discovering-structural-equation-modeling-using-stata/">https://www.stata.com/bookstore/discovering-structural-equation-modeling-using-stata/</a>
Link text Publisher's website
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Monography
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
        Library Library 2019-09-12 C1 113 130479 2019-09-12 2019-09-12 Monography
Deutsche Post Stiftung
 
Istitute of Labor Economics
 
Institute for Environment & Sustainability
 

Powered by Koha