Structural equation modeling : applications using Mplus
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Format
Edition
Second edition.
Language
English
ISBN
9781119422723, 1119422728, 9781119422716, 111942271X, 9781119422730, 1119422736
Notes
Bibliography
Includes bibliographical references and index.
Description
Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this second edition, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book"--,Provided by publisher
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Wang, J., & Wang, X. (2020). Structural equation modeling: applications using Mplus (Second edition.). Wiley.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Wang, Jichuan and Xiaoqian, Wang. 2020. Structural Equation Modeling: Applications Using Mplus. Hoboken, NJ: Wiley.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Wang, Jichuan and Xiaoqian, Wang. Structural Equation Modeling: Applications Using Mplus Hoboken, NJ: Wiley, 2020.
Harvard Citation (style guide)Wang, J. and Wang, X. (2020). Structural equation modeling: applications using mplus. Second edn. Hoboken, NJ: Wiley.
MLA Citation, 9th Edition (style guide)Wang, Jichuan,, and Xiaoqian Wang. Structural Equation Modeling: Applications Using Mplus Second edition., Wiley, 2020.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
70c9a7b3-b1cf-bebd-f17b-d2f1f980a0e6-eng
Grouping Information
| Grouped Work ID | 70c9a7b3-b1cf-bebd-f17b-d2f1f980a0e6-eng |
|---|---|
| Full title | structural equation modeling applications using mplus |
| Author | wang jichuan |
| Grouping Category | book |
| Last Update | 2024-12-17 07:07:11AM |
| Last Indexed | 2024-12-17 07:14:20AM |
Book Cover Information
| Image Source | contentCafe |
|---|---|
| First Loaded | Dec 21, 2024 |
| Last Used | Jan 11, 2025 |
Marc Record
| First Detected | Dec 17, 2024 06:41:08 AM |
|---|---|
| Last File Modification Time | Dec 17, 2024 06:41:08 AM |
| Suppressed | Record had no items |
MARC Record
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| 245 | 1 | 0 | |a Structural equation modeling :|b applications using Mplus /|c Jichuan Wang, Xiaoqian Wang. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Hoboken, NJ :|b Wiley,|c 2020. | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 online resource (x, 512 pages) | ||
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| 490 | 0 | |a Wiley series in probability and statistics | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Confirmatory factor analysis -- Structural equation model -- Latent growth models (LGM) for longitudinal data analysis -- Multi-group modeling -- Mixture modeling -- Sample size for structural equation modeling. | |
| 520 | |a Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this second edition, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book"--|c Provided by publisher | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on January 10, 2020). | |
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| 630 | 0 | 7 | |a Mplus|2 fast |
| 650 | 0 | |a Structural equation modeling|x Data processing. | |
| 650 | 0 | |a Multivariate analysis|x Data processing. | |
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| 700 | 1 | |a Wang, Xiaoqian,|e author. | |
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