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Item #:
2242511
Statistical Methods for the Social Sciences (4th Edition)
Item #:
2242511
MAD 1717
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What Stands Out
Comprehensive Coverage
This edition offers a thorough exploration of statistical methods tailored for social sciences, ensuring readers grasp complex concepts through clear explanations and real-world examples.
User-Friendly Approach
With a focus on accessibility, the book uses straightforward language and step-by-step guides to help students and practitioners effectively apply statistical techniques without advanced mathematical backgrounds.
Updated Examples
Includes contemporary case studies and data sets relevant to current social issues, enhancing practical understanding and making statistical analysis applicable in today's societal context.
Product Details
| Publisher | Prentice Hall |
| Publication date | January 7, 2008 |
| Edition | 4th |
| Language | English |
| Print length | 624 pages |
| ISBN-10 | 0130272957 |
| ISBN-13 | 978-0130272959 |
| Item Weight | 2.77 pounds (1.26 kg) |
| Dimensions | 8.1 x 1.1 x 10.1 inches (20.6 x 2.8 x 25.7 cm) |
Who Should Buy?
-
Social Science Students
Ideal for undergraduate and graduate students studying sociology, psychology, or political science needing a solid foundation in statistics.
-
Research Practitioners
Useful for researchers in social sciences who require statistical methods to analyze data and interpret results effectively.
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Data Analysts
Beneficial for professionals seeking to apply statistical techniques to social data analysis and improve data-driven decision making.
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Beginner Statisticians
May overwhelm individuals with no prior knowledge of statistics due to its advanced content and technical jargon.
Product Description
Statistical Methods for the Social Sciences (4th Edition)
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Probability & Statistics Editorial Review
Statistical Methods for the Social Sciences (4th Edition) is published by Prentice Hall and spans 624 pages. This edition is known for its straightforward approach to introductory statistics specifically tailored for social sciences, covering crucial topics like multiple regressions and ANOVA. Many users find it an excellent reference for those involved in research, especially at the graduate level. However, some have noted issues with formatting and terminology in exercises that can be frustrating during studies. The book combines well with supplementary materials like the SPSS application guide, providing a comprehensive perspective on statistical analysis. Overall, it's a recommended resource for those well-versed in statistical concepts seeking to enhance their quantitative analysis skills.
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Pros
- Clear and helpful for upper-level analysis
- Covers key statistical methods thoroughly
- Up-to-date examples with good context
- Combines well with SPSS application guide
- Easy read for those familiar with statistics
Cons
- Formatting can be challenging for quick reference
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