This is the first book to provide the student of Tourism, Hospitality and Events with all that they need to undertake statistical analysis using SPSS for research in their industry. It provides a comprehensive explanation on how appropriate statistical tools and methods can be identified for this research context and provides demonstrations
This is the first book to provide the student of Tourism, Hospitality and Events with all that they need to undertake statistical analysis using SPSS for research in their industry. It provides a comprehensive explanation on how appropriate statistical tools and methods can be identified for this research context and provides demonstrations
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.
Inhaltsangabe
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)
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)
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