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Item #:
126540659
Practical Multilevel Modeling Using R Advanced Quantitative Techniques in the Social Sciences 1st Edition
Item #:
126540659
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Practical Multilevel Modeling Using R provides students with a step-by-step guide for running their own multilevel analyses.
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What Stands Out
Comprehensive Guidance
Offers extensive insights on applying multilevel modeling techniques in R, catering to both beginners and advanced users in social science research.
Practical Applications
Focuses on real-world social science problems, providing practical examples and case studies that enhance understanding and applicability of advanced quantitative methods.
User-Friendly Approach
Designed with clarity in mind, integrating user-friendly language and step-by-step instructions that facilitate ease of learning for readers with varying expertise.
Product Details
| Publisher | SAGE Publications, Inc |
| Publication date | December 12, 2022 |
| Edition | 1st |
| Language | English |
| Print length | 256 pages |
| ISBN-10 | 1071846124 |
| ISBN-13 | 978-1071846124 |
| Item Weight | 1.2 pounds (540 grams) |
| Dimensions | 7 x 0.58 x 10 inches (17.8 x 1.5 x 25.4 cm) |
| Part of series | Advanced Quantitative Techniques in the Social Sciences |
Who Should Buy?
-
Social Science Researchers
Ideal for researchers focusing on advanced statistical methods in social sciences and needing multilevel modeling techniques.
-
Graduate Students
Great resource for graduate students studying statistics or data analysis, providing practical applications and insights into multilevel modeling.
-
Data Analysts
Beneficial for data analysts in social research or policy evaluation looking to enhance their statistical modeling skills using R.
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Beginners in Statistics
Not suitable for those with little to no prior knowledge in statistics or R programming.
Product Description
Practical Multilevel Modeling Using R Advanced Quantitative Techniques in the Social Sciences 1st Edition
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Customer Questions & Answers
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Question:
Is this book suitable for beginners?
Answer: Yes, it provides clear guidance and covers the basics of multilevel modeling. -
Question:
Does it include practical examples?
Answer: Yes, the book includes real-world examples and a companion R package for application. -
Question:
Are solutions to exercises available?
Answer: Yes, solutions for the 'Test Yourself' sections are available on the instructor website.
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Pros
- Comprehensive coverage of multilevel modeling
- Accessible for newcomers to R
- Includes practical examples
- Focuses on social science applications
Cons
- Some concepts may be too advanced for beginners.
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Features & Benefits
- Step-by-step guide for multilevel analyses.
- Illustrates conceptual and statistical issues clearly.
- Annotated R syntax for practical application.
- Covers basics and advanced topics like diagnostics and power analysis.
- Designed for students in applied disciplines, not just methodologists.
- Includes 'Test Yourself' sections and a companion R package.
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