Data Analysis Using Regression and Multilevel/Hierarchical Models
Language: English
Published by Cambridge University Press, 2006
Series: Book 5 of 15 - Analytical Methods for Social Research
- First Edition
- Hardcover
- Used
Seller: Rotary Club Carlton Charity Bookshop, Melbourne, VIC, AustraliaRotary Club Carlton Charity Bookshop
AbeBooks seller since January 6, 2024
Condition: Used - Fine
£ 49.31
Quantity: 1 available
Add to basketItem description from seller
Hardcover. Condition: Fine (Like New). Minor dusting; no damage to the cover or pages. Data Analysis Using Regression and Multilevel/Hierarchical Models (First published in 2007) is a comprehensive guide for applied researchers looking to perform data analysis using linear and nonlinear regression, as well as multilevel models. The book covers a broad range of statistical methods, including causal inference (regression, poststratification, matching, regression discontinuity, and instrumental variables), multilevel logistic regression, and missing-data imputation. It features numerous real-world data examples drawn from the authors own research, each accompanied by programming code to aid implementation. With clear instruction and practical tips on model building, fitting, and interpretation, this volume is ideal for readers using freely available software packages to conduct advanced data analysis. Box #39.
Seller Inventory # 505
- Title
- Data Analysis Using Regression and Multilevel/Hierarchical Models
- Author
- Andrew Gelman; Jennifer Hill
- Publisher
- Cambridge University Press
- Publication year
- 2006
- Condition
- Fine
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0521867061
- ISBN 13
- 9780521867061
- Edition
- 1st Edition
- Series
- Book 5 of 15: Analytical Methods for Social Research
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Rotary Club Carlton Charity Bookshop
Melbourne, VIC, Australia
AbeBooks seller since January 6, 2024
Shipping rates from Australia to U.S.A.
| Item | 7 to 10 business days | 4 to 7 business days |
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