Statistical Analysis Techniques, Volume 1: Foundations and Basic Applications - Hardcover

Akgül, Aziz

Hardcover

ISBN 10: 1805923420 ISBN 13: 9781805923428

Publisher: Emerald Publishing Limited, 2026

Synopsis

Statistical Analysis Techniques offers a comprehensive and practical guide to statistical analysis, with a focus on utilising SPSS software for research in business administration and economics. Designed to meet the growing demand for accessible data analysis tools in both academic and professional settings, the work seamlessly bridges theory with practical application. Real-world business examples―such as assessing customer behaviour, evaluating organisational success, and analysing employee performance―offer readers valuable hands-on experience with data sets. Each chapter includes step-by-step SPSS walkthroughs, ensuring readers can efficiently apply statistical techniques using the software.

The book serves as both an instructional guide and a reference manual, making it a vital resource for students, researchers, and professionals in business and economics. Its emphasis on practical implementation, coupled with its clear integration of SPSS examples, empowers readers to strengthen their data analysis skills and make data-driven decisions in an increasingly analytics-focused world.

About this title

About the Author

Aziz Akgül is a Professor of Business Administration at OSTIM Technical University in Ankara, Türkiye. He completed an MBA from Middle East Technical University and an MS from the U.S. Naval Postgraduate School. He earned his Ph.D. from the Business Department of Ankara University's Faculty of Political Sciences. He has served as a Senior Advisor to the Prime Minister, President of Small and Medium Enterprises Development Organization (KOSGEB), and as a Member of the Turkish Grand National Assembly.

Edition details

• Publisher: Emerald Publishing Limited
• Publication date: 2026
• Language: English
• ISBN 10: 1805923420
• ISBN 13: 9781805923428
• Binding: Hardcover
• Number of pages: 264