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Item #:
45391418
Fixed Effects Regression Models (Quantitative Applications in the Social Sciences)
Item #:
45391418
XOF 29182
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What Stands Out
Comprehensive Coverage
This edition provides an in-depth exploration of fixed effects regression models, making it an essential reference for both students and practitioners in social sciences seeking to enhance their quantitative analysis skills.
Practical Examples
The book includes real-world applications and practical examples, allowing readers to understand complex statistical concepts and better apply them to their own research in the social sciences.
User-Friendly Style
Written in an accessible style, this book simplifies advanced methodologies, making it easier for readers from various backgrounds to grasp and implement fixed effects regression in their analyses.
Product Details
| Publisher | SAGE Publications, Inc |
| Publication date | April 22, 2009 |
| Edition | 1st |
| Language | English |
| Print length | 136 pages |
| ISBN-10 | 0761924973 |
| ISBN-13 | 978-0761924975 |
| Item Weight | 6.3 ounces (178.61 grams) |
| Dimensions | 5.5 x 0.31 x 8.5 inches (14 x 0.8 x 21.6 cm) |
| Part of series | Quantitative Applications in the Social Sciences |
Who Should Buy?
-
Social Science Researchers
Ideal for researchers delving into longitudinal data analysis in social sciences using fixed effects regression techniques.
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Graduate Students
Perfect for graduate students seeking a comprehensive understanding of fixed effects models for their coursework and research.
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Data Analysts
Useful for data analysts working in social science sectors, providing practical insights into regression modeling strategies.
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Beginner Statisticians
Not suitable for those without a foundational understanding of regression analysis, as concepts may be too advanced.
Product Description
Fixed Effects Regression Models (Quantitative Applications in the Social Sciences)
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Probability & Statistics Editorial Review
Fixed Effects Regression Models (Quantitative Applications in the Social Sciences) is an essential resource for those delving into regression models. The book excels in clarity, offering detailed examples and STATA code outputs which make complex concepts manageable. Readers appreciate the step-by-step explanations that eliminate common frustrations found in other statistical texts, ensuring a smooth learning experience. With a focus on fixed effects, random effects, and hybrid models, it thoroughly covers panel data analysis, making it suitable for both novices and seasoned practitioners. The author's engaging writing style is noted as a highlight, enhancing understanding throughout the text.
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Pros
- Clear step-by-step explanations
- Includes STATA code examples
- Useful for panel data analysis
- Covers fixed, random, and hybrid models
- Well-written and easy to understand
Cons
- May not cover advanced topics extensively
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