Statistical Analysis Techniques, Volume 2

Advanced Methods and Applied Research Tools

Aziz Akgül
Emerald
Emerald

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Hardback
9781806862641
02 June 2026
$120.00
eBook (PDF)
9781806862634
12 May 2026
$120.00
eBook (ePub)
9781806862658
12 May 2026
$120.00

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  • Description
  • Contents
  • About

Building on the foundation established in volume 1 of Statistical Analysis Techniques, this second volume delves deeper into advanced statistical techniques, providing comprehensive guidance for students and researchers working with SPSS Statistical Software. In addition to the continuation of statistical analysis topics, this volume includes valuable supplementary materials, such as references to support further study and additional statistical tables for practical application.

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.

Chapter 1. Hypothesis Testings with Three or More Population Groups

  • Chapter 2. Simple Regression
  • Chapter 3. Multiple Regression and Curve Estimation
  • Chapter 4. Correlation Analysis
  • Chapter 5. Analysis of Covariance
  • Chapter 6. Logistic Regression
  • Chapter 7. Discriminant Analysis
  • Chapter 8. Factor Analysis
  • Chapter 9. Reliability Analysis

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.