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Arthur Glenberg, Matthew Andrzejewski
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โก Free 3min Summary
Learning From Data - Summary
This comprehensive textbook revolutionizes the approach to understanding statistical reasoning in psychology and social sciences. It bridges the gap between complex statistical concepts and their practical application, emphasizing data interpretation rather than mere calculation. The book uniquely integrates Excel-based analysis with real-world examples, making statistical learning both accessible and immediately applicable to contemporary research scenarios.
Key Ideas
Practical Statistical Reasoning
A groundbreaking approach that focuses on understanding the logic behind statistical tests rather than just memorizing formulas. The six-step procedure introduced helps students systematically approach statistical analysis, from basic concepts to complex factorial designs.
Power Analysis Integration
An innovative emphasis on statistical power and effect size, reflecting modern research standards. The dedicated chapter on power analysis, combined with integrated analyses throughout each section, ensures students understand the practical significance of their findings beyond mere statistical significance.
Real-World Application Focus
The incorporation of current research examples and media reports demonstrates the immediate relevance of statistical concepts. The use of two large, integrated datasets throughout the book provides consistent, practical experience with real research scenarios.
FAQ's
Unlike traditional texts that focus on calculations, this book emphasizes interpretation and reasoning, using Excel as the primary analysis tool and providing extensive real-world applications through media reports and research examples.
The book is designed for both undergraduate and beginning graduate students, starting with basic concepts and progressively building to more complex analyses. The six-step procedure makes it accessible for statistics newcomers while remaining valuable for more advanced students.
The book comes with downloadable resources containing Excel files for all in-text analyses, along with additional files for other statistical software. The seamless integration with Excel makes it easy for students to follow along and practice analyses in real-time while learning.
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