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An SPSS Guide for Tourism, Hospitality and Events Researchers
Contributor(s): Kaurav, Rahul Pratap Singh (Editor), Gursoy, Dogan (Editor), Chowdhary, Nimit (Editor)
ISBN: 0367236583     ISBN-13: 9780367236588
Publisher: Routledge
OUR PRICE:   $49.49  
Product Type: Paperback - Other Formats
Published: December 2020
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Business & Economics | Industries - Hospitality, Travel & Tourism
- Travel
Dewey: 910.285
LCCN: 2020015266
Physical Information: (17.48 lbs) 398 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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. Employing examples directly from the tourism, hospitality and events sector, it provides a comprehensive explanation on how appropriate statistical tools and methods can be identified for this research context and provides a step-by-step demonstration on how to carry out the chosen statistical operations.

Each chapter opens with a sector-specific case study reflecting current research trends and issues from a range of different countries that are affecting the industry today. It is followed by an examination of the SPSS procedures relating to the case study and various solutions are offered. The implementation of clear, step-by-step demonstrations on how to carry out statistical operations using a combination of screenshots, diagrams, and tables aids the reader's understanding. Chapters close with thorough guidance on how to appropriately write up interpretations of the research in a report. Research implications and recommendations for tourism and hospitality businesses are also provided, to enable them to successfully create and manage research strategies in action.

Adopting an interdisciplinary perspective and written by a range of industry experts from all over the globe, this book will be essential for all students and researchers in the field of tourism, hospitality, and events as well as all those in related fields with an interest in statistical data analysis.