From Data to Insights: A Beginner’s Guide to Cross-Tabulation Analysis
Author: Gianmarco Alberti (Author)
Publisher finelybook 出版社: Chapman and Hall/CRC
Edition 版次: 1st
Publication Date 出版日期: 2024-07-15
Language 语言: English
Print Length 页数: 154 pages
ISBN-10: 1032720387
ISBN-13: 9781032720388
Book Description
This book offers a clear and accessible guide to cross-tabulation analysis, transforming a complex subject into an accessible topic. It diverges from traditional statistical texts, adopting a conversational tone that addresses common questions and concerns. The author demystifies intricate concepts, with clear explanations and relatable analogies that make the material approachable for readers with varying levels of mathematical expertise.
Unique in its approach, the book avoids overwhelming readers with complex formulas and instead focuses on the principles underlying cross-tabulation analysis. This method ensures that the content is applicable regardless of specific statistical software used, making it a versatile resource.
Targeted at a diverse audience, the book covers the spectrum from foundational elements to comparatively more advanced topics in cross-tabulation analysis. It includes a comprehensive glossary and an appendix of detailed examples, providing practical insight and aiding understanding of key concepts. This book is an invaluable resource for students, researchers, and educators alike, offering a fresh perspective on cross-tabulation analysis that emphasises clarity and practical application.
Key Features:
- Employs a conversational style, making complex statistical concepts in cross-tabulation analysis accessible and engaging for all readers.
- Combines minimal use of formulas with practical examples, ensuring easy comprehension and application, even for those with minimal mathematical background.
- Features a consistent running example for continuity, complemented by diverse real-world scenarios to solidify understanding of key concepts.
- Independently valuable without reliance on specific statistical software, emphasising fundamental principles for adaptability across various platforms.
- Progressively guides readers from foundational basics to comparatively more advanced methods, supplemented by a comprehensive glossary and detailed appendix for an enriched learning.
About the Author
Gianmarco Alberti, Senior Lecturer at the University of Malta, specialises in applying data analysis across diverse fields, from archaeology to criminology. His pedagogical expertise spans various levels, including Bachelor’s, Master’s, and Doctoral programmes, in multiple disciplines and institutions. His contributions include developing open-access software for spatial statistics and multivariate analysis, and authoring a substantial body of scholarly work, including a monograph and scholarly articles in renowned journals.
