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Using Mplus for Structural Equation Modeling: A Researchers Guide 2nd Revised edition [Mīkstie vāki]

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  • Formāts: Paperback / softback, 248 pages, height x width: 228x152 mm, weight: 370 g
  • Izdošanas datums: 23-Sep-2014
  • Izdevniecība: SAGE Publications Inc
  • ISBN-10: 1452291470
  • ISBN-13: 9781452291475
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Using Mplus for Structural Equation Modeling: A Researchers Guide 2nd Revised editionPalielināt
  • Formāts: Paperback / softback, 248 pages, height x width: 228x152 mm, weight: 370 g
  • Izdošanas datums: 23-Sep-2014
  • Izdevniecība: SAGE Publications Inc
  • ISBN-10: 1452291470
  • ISBN-13: 9781452291475
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781452291475.html
Keywords:
Kelloway presents students, academics, and researchers with an approachable introduction to the Mplus framework and the major types of structural equation models implemented within it. The author has organized the bulk of his text in nine chapters, covering the theory and development of structural equation models, assessing model fit, using Mplus, confirmatory factor analysis, observed variable path analysis, latent variable path analysis, longitudinal analysis, and multilevel modeling. The text represents an update from the author’s earlier work, Using LISREL for Structural Equation Modeling. E. Kevin Kelloway is a faculty member of St. Mary’s University, UK. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)

Using a tried and tested five-step process, this book provides students with a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework.



Ideal for researchers and graduate students in the social sciences who require knowledge of structural equation modeling techniques to answer substantive research questions,Using Mplus for Structural Equation Modeling provides a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework. This practical book, which updates author E. Kevin Kelloway’s 1998 book Using LISREL for Structural Equation Modeling, retains the successful five-step process employed in the earlier book, with a thorough update for use in the Mplus environment. Kelloway provides an overview of structural equation modeling techniques in Mplus, including the estimation of confirmatory factor analysis and observed variable path analysis. He alsocovers multilevel modeling for hypothesis testing in real life settings and offersan introduction to the extended capabilities of Mplus, such as exploratory structural equation modeling and estimation and testing of mediated relationships. A sample application with the source code, printout, and results is presented for each type of analysis.

”An excellent book on the ins and outs of using Mplus, as well as the practice of structural equation modeling in applied research.”—Kevin J. Grimm, University of California, Davis

Recenzijas

"An excellent book on the ins and outs of using Mplus, as well as the practice of structural equation modeling in applied research." -- Kevin J. Grimm, University of California, Davis

Acknowledgments viii
About the Author ix
Chapter 1 Introduction
1(4)
Why Structural Equation Modeling?
2(2)
The Remainder of This Book
4(1)
Chapter 2 Structural Equation Models: Theory and Development
5(16)
The Process of Structural Equation Modeling
6(15)
Model Specification
7(6)
Identification
13(2)
Estimation and Fit
15(1)
Choice of Estimators
16(1)
Sample Size
16(1)
Model Modification
17(4)
Chapter 3 Assessing Model Fit
21(16)
Absolute Fit
22(4)
Comparative Fit
26(3)
Parsimonious Fit
29(6)
Nested Model Comparisons
30(4)
Model Respecification
34(1)
Toward a Strategy for Assessing Model Fit
35(2)
Chapter 4 Using Mplus
37(15)
The Data File
37(2)
The Command File
39(3)
Specify the Data
39(2)
Specify the Analysis
41(1)
Specify the Output
42(1)
Putting It All Together: Some Basic Analyses
42(10)
Regression Analysis
42(5)
The Standardized Solution in Mplus
47(1)
Logistic Regression
47(5)
Chapter 5 Confirmatory Factor Analysis
52(42)
Model Specification
52(4)
From Pictures to Mplus
54(1)
In the Background
55(1)
Identification
56(1)
Estimation
57(12)
Assessment of Fit
69(1)
Model Modification
70(19)
Item Parceling
70(1)
Exploratory Structural Equation Models
71(18)
Sample Results Section
89(5)
Results
90(1)
Exploratory Analysis
90(4)
Chapter 6 Observed Variable Path Analysis
94(35)
Model Specification
94(3)
From Pictures to Mplus
95(1)
Alternative Models
96(1)
Identification
97(1)
Estimation
97(9)
Fit and Model Modification
97(9)
Mediation
106(9)
Using Equality Constraints
115(5)
Multisample Analysis
120(9)
Chapter 7 Latent Variable Path Analysis
129(22)
Model Specification
129(19)
Alternative Model Specifications
130(1)
Model Testing Strategy
130(18)
Sample Results
148(3)
Chapter 8 Longitudinal Analysis
151(34)
Measurement Equivalence Across Time
151(19)
Latent Growth Curves
170(6)
Cross-Lagged Models
176(9)
Chapter 9 Multilevel Modeling
185(40)
Multilevel Models in Mplus
187(8)
Conditional Models
195(16)
Random-Slope Models
211(6)
Multilevel Modeling and Mediation
217(8)
References 225(6)
Index 231
E. Kevin Kelloway is the Canada Research Chair in Occupational Health Psychology at Saint Marys University.  He received his PhD in Organizational Psychology from Queens University (Kingston, ON) and taught for eight years at the University of Guelph.  In 1999 he moved to Saint Marys University where he also holds the position of Professor of Psychology.  He was the founding director of the CN Centre for Occupational Health and Safety and the PhD program in Business Administration (Management).  He was also a founding principal of the Centre for Leadership Excellence at Saint Marys.  An active researcher, he is the author/editor of 12 books and over 100 research articles and chapters. He is a Fellow of the Association for Psychological Science, the Canadian Psychological Association and of the Society for Industrial/Organizational Psychology.