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31111135
Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences)
87% of respondents would recommend this to a friend
Nº de artículo:
31111135
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What Stands Out
Comprehensive Analysis
This edition provides thorough insights into interaction effects, equipping researchers with essential tools to enhance their understanding of regression techniques in social science applications.
User-Friendly Approach
Designed for both beginners and advanced users, the book simplifies complex statistical concepts, making it accessible while maintaining academic rigor, thus bridging the gap between theory and practical application.
Updated Examples
Incorporating recent case studies and examples, the text reflects contemporary issues in social science research, allowing readers to apply theoretical knowledge to real-world data effectively.
Detalles de producto
| Publisher | SAGE Publications, Inc |
| Publication date | March 5, 2003 |
| Edition | 2nd |
| Language | English |
| Print length | 104 pages |
| ISBN-10 | 0761927425 |
| ISBN-13 | 978-0761927426 |
| Item Weight | 3.88 ounces (110 grams) |
| Dimensions | 5.5 x 0.25 x 8.5 inches (14 x 0.6 x 21.6 cm) |
| Part of series | Quantitative Applications in the Social Sciences |
Who Should Buy?
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Graduate Students
Ideal for graduate students in social sciences needing to understand complex regression models and interaction effects.
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Data Analysts
Data analysts seeking to enhance their understanding of interaction effects in multiple regression for better data interpretation.
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Researchers
Researchers exploring relationships between variables in social sciences will benefit from the advanced statistical techniques outlined.
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Beginners
Not suitable for beginners with no prior experience in statistics, as it assumes foundational knowledge of regression analysis.
DESCRIPCIÓN DEL PRODUCTO
Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences)
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Probability & Statistics Editorial Review
**** The book "Interaction Effects in Multiple Regression" epitomizes a well-crafted resource for researchers and practitioners who actively utilize interaction effects in their work. Spanning just 89 pages, this concise yet information-dense volume serves those who employ interaction effects, distinguishing itself by steering clear of broader regression method discussions. Readers have overwhelmingly praised the book for its clarity and accessibility, noting that it does an excellent job demystifying complex statistical concepts. The authors reference key methodological advancements, particularly those highlighted in the Psychological Bulletin, further solidifying the text's academic grounding. Noteworthy is the authors' focus on common misconceptions surrounding interaction effects; they skillfully articulate why main effects cannot be interpreted alongside interaction terms and dispel anxiety surrounding multicollinearity when variables are appropriately transformed. However, the book's scope does have its limitations; it does not delve into mediation testing and lacks some references on that topic. Furthermore, while it explains two-way and three-way interactions effectively, readers seeking comprehensive coverage of interactions involving two categorical variables may find it wanting. Nevertheless, practitioners appreciate its practical examples, particularly those utilizing SPSS. Overall, "Interaction Effects in Multiple Regression" remains a highly recommended resource, especially for those involved with interaction analyses in their research. The author also has related software that complements the book's methodologies, though it comes at a significant additional cost. Even years after its initial release, with thousands of citations affirming its influence, this book continues to stand as a definitive guide in the field. **
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ventajas
- Clear and concise explanation of complex statistical concepts
- Solidly grounded in the methodological literature
- Excellent discussion of common misconceptions about interaction terms
- Provides useful SPSS examples and interpretations
- Concise length makes it easy to digest
Contras
- Does not cover mediation testing adequately
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