Data Analysis in Management with SPSS Software

1. Front Matter

   Pages i-xxi

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2. Data Management

   • J. P. Verma

   Pages 1-27

3. Descriptive Analysis

   • J. P. Verma

   Pages 29-67

4. Chi-Square Test and Its Application

   • J. P. Verma

   Pages 69-101

5. Correlation Matrix and Partial Correlation: Explaining Relationships

   • J. P. Verma

   Pages 103-132

6. Regression Analysis and Multiple Correlations: For Estimating a Measurable Phenomenon

   • J. P. Verma

   Pages 133-165

7. Hypothesis Testing for Decision-Making

   • J. P. Verma

   Pages 167-220

8. One-Way ANOVA: Comparing Means of More than Two Samples

   • J. P. Verma

   Pages 221-254

9. Two-Way Analysis of Variance: Examining Influence of Two Factors on Criterion Variable

   • J. P. Verma

   Pages 255-290

10. Analysis of Covariance: Increasing Precision in Comparison by Controlling Covariate

    • J. P. Verma

    Pages 291-316

11. Cluster Analysis: For Segmenting the Population

    • J. P. Verma

    Pages 317-358

12. Application of Factor Analysis: To Study the Factor Structure Among Variables

    • J. P. Verma

    Pages 359-387

13. Application of Discriminant Analysis: For Developing a Classification Model

    • J. P. Verma

    Pages 389-412

14. Logistic Regression: Developing a Model for Risk Analysis

    • J. P. Verma

    Pages 413-442

15. Multidimensional Scaling for Product Positioning

    • J. P. Verma

    Pages 443-460

16. Back Matter

    Pages 461-481

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This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.

• Cluster Analysis
• Factor Analysis
• Logistic Regression
• Multivariate Analysis
• SPSS

• , Research and Advanced Studies, University of Physical Education, Gwalior, India

  J.P. Verma

Dr. J.P.Verma is a professor of statistics at the Lakshmibai National University of Physical Education, Gwalior and has experience of more than three decades of teaching applied statistics to the students of different disciplines. Professor Verma possesses three masters degree in statistics, psychology and computer application besides a PhD degree. He has the unique distinction of holding I^st position in MSc (Statistics) from Kanpur university and I^st position in MA (Psychology) from Jiwaji University Gwalior. He has been a visiting faculty in many of the well known institutes of management such as Indian Institute of Information Technology and Management, Indian Institute of Travel and Tourism Management, Prestige Institute of Management etc. He has guided six PhD candidates successfully and has four books in the area of statistics & research, and 28 research papers/articles to his credit.

 

Prof. Verma has acted as an advisor for the Union Public Service Commission (UPSC), New Delhi for various assignments since 2005. He served as an officer on special duty to the Vice Chancellor for two and half years and looked after the Administration, Planning and Implementation. He was a visiting fellow in the University of Sydney in 2002. He has made academic visits in Australia, Poland, Scotland, Bangkok and Nepal and has conducted many workshops in the area of applied statistics and research methodology.

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