Rahul Pratap Singh Kaurav is an Assistant Professor in Marketing and Tourism Management at the Prestige Institute of Management, Gwalior, India. Dogan Gursoy is the Taco Bell Distinguished Professor in Hospitality Business Management in the School of Hospitality Business Management, Washington State University, USA.Nimit Chowdhary is a Professor at the Department of Tourism and Hospitality Management, Jamia Millia Islamia, New Delhi, India.

‘The content of this book is superior to all others offering guidance on SPSS and will be of particular use to those studying Tourism, Hospitality and Events. It is a groundbreaking book which includes the rare addition of a separate section on writing interpretations. I recommend the purchase of this book for Tourism and Hospitality researchers.’Prof. S.P. Bansal, Vice Chancellor, Himachal Pradesh Technical University, India‘This is an excellent guide full of crucial and innovative information. The guidance on writing up the interpretation of SPSS outputs and the short case studies that open each chapter make the book quite interesting for those of us who want to enjoy research in Tourism, Hospitality and Events’Prof. Justin Paul, University of PR, San Juan, USA‘This is an excellent guide for students and researchers who want to gain knowledge and skills about statistical analysis with SPSS. The relevant empirical examples help the reader understand not only the theoretical concepts in statistical analysis but help to see how they are applied in actual research projects. The screenshots guide the reader through the implementation of the respective analyses in easy-to-follow steps.’Prof. Stanislav Ivanov, Varna University of Management, Bulgaria

• 1.  Why research in tourism, hospitality, and events?  2. Why do we need SPSS?  3. Basic operations with SPSS.  4. Understanding data.  5. Understanding data: Real life applications.  6. Basics of statistics.  7. Comparing means: Parametric tools.  8. Comparing means: Non-parametric tools.  9. Deciphering relationships.  10. Understanding causality: Mediation and moderation in tourism studies.  11. Classic Chi-Square.  12. Methods of reliability and validity.  13. Factor analysis.  14. Cluster analysis.  15. Discriminant analysis.  16. Conjoint analysis.  17. Importance-Performance Analysis (APA) of Travel Agency Services for Outbound Tourist in India.  18. Multidimensional Scaling.  19. Introduction to Multi Criteria Decision Making Modelling (MCDM)

Rahul Pratap Singh Kaurav is an Assistant Professor in Marketing and Tourism Management at the Prestige Institute of Management, Gwalior, India. Dogan Gursoy is the Taco Bell Distinguished Professor in Hospitality Business Management in the School of Hospitality Business Management, Washington State University, USA.Nimit Chowdhary is a Professor at the Department of Tourism and Hospitality Management, Jamia Millia Islamia, New Delhi, India.

‘The content of this book is superior to all others offering guidance on SPSS and will be of particular use to those studying Tourism, Hospitality and Events. It is a groundbreaking book which includes the rare addition of a separate section on writing interpretations. I recommend the purchase of this book for Tourism and Hospitality researchers.’Prof. S.P. Bansal, Vice Chancellor, Himachal Pradesh Technical University, India‘This is an excellent guide full of crucial and innovative information. The guidance on writing up the interpretation of SPSS outputs and the short case studies that open each chapter make the book quite interesting for those of us who want to enjoy research in Tourism, Hospitality and Events’Prof. Justin Paul, University of PR, San Juan, USA‘This is an excellent guide for students and researchers who want to gain knowledge and skills about statistical analysis with SPSS. The relevant empirical examples help the reader understand not only the theoretical concepts in statistical analysis but help to see how they are applied in actual research projects. The screenshots guide the reader through the implementation of the respective analyses in easy-to-follow steps.’Prof. Stanislav Ivanov, Varna University of Management, Bulgaria

• 1.  Why research in tourism, hospitality, and events?  2. Why do we need SPSS?  3. Basic operations with SPSS.  4. Understanding data.  5. Understanding data: Real life applications.  6. Basics of statistics.  7. Comparing means: Parametric tools.  8. Comparing means: Non-parametric tools.  9. Deciphering relationships.  10. Understanding causality: Mediation and moderation in tourism studies.  11. Classic Chi-Square.  12. Methods of reliability and validity.  13. Factor analysis.  14. Cluster analysis.  15. Discriminant analysis.  16. Conjoint analysis.  17. Importance-Performance Analysis (APA) of Travel Agency Services for Outbound Tourist in India.  18. Multidimensional Scaling.  19. Introduction to Multi Criteria Decision Making Modelling (MCDM)

Rahul Pratap Singh Kaurav is an Assistant Professor in Marketing and Tourism Management at the Prestige Institute of Management, Gwalior, India. Dogan Gursoy is the Taco Bell Distinguished Professor in Hospitality Business Management in the School of Hospitality Business Management, Washington State University, USA.Nimit Chowdhary is a Professor at the Department of Tourism and Hospitality Management, Jamia Millia Islamia, New Delhi, India.

‘The content of this book is superior to all others offering guidance on SPSS and will be of particular use to those studying Tourism, Hospitality and Events. It is a groundbreaking book which includes the rare addition of a separate section on writing interpretations. I recommend the purchase of this book for Tourism and Hospitality researchers.’Prof. S.P. Bansal, Vice Chancellor, Himachal Pradesh Technical University, India‘This is an excellent guide full of crucial and innovative information. The guidance on writing up the interpretation of SPSS outputs and the short case studies that open each chapter make the book quite interesting for those of us who want to enjoy research in Tourism, Hospitality and Events’Prof. Justin Paul, University of PR, San Juan, USA‘This is an excellent guide for students and researchers who want to gain knowledge and skills about statistical analysis with SPSS. The relevant empirical examples help the reader understand not only the theoretical concepts in statistical analysis but help to see how they are applied in actual research projects. The screenshots guide the reader through the implementation of the respective analyses in easy-to-follow steps.’Prof. Stanislav Ivanov, Varna University of Management, Bulgaria

• 1.  Why research in tourism, hospitality, and events?  2. Why do we need SPSS?  3. Basic operations with SPSS.  4. Understanding data.  5. Understanding data: Real life applications.  6. Basics of statistics.  7. Comparing means: Parametric tools.  8. Comparing means: Non-parametric tools.  9. Deciphering relationships.  10. Understanding causality: Mediation and moderation in tourism studies.  11. Classic Chi-Square.  12. Methods of reliability and validity.  13. Factor analysis.  14. Cluster analysis.  15. Discriminant analysis.  16. Conjoint analysis.  17. Importance-Performance Analysis (APA) of Travel Agency Services for Outbound Tourist in India.  18. Multidimensional Scaling.  19. Introduction to Multi Criteria Decision Making Modelling (MCDM)