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An Spss Guide for Tourism, Hospitality and Events Researchers (en Inglés)
Rahul Pratap Singh Kaurav, Dogan Gursoy, Nimit Chowdhary (Autor)
·
Routledge Chapman Hall
· Tapa Dura
An Spss Guide for Tourism, Hospitality and Events Researchers (en Inglés) - Rahul Pratap Singh Kaurav, Dogan Gursoy, Nimit Chowdhary
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Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Viernes 19 de Julio y el
Lunes 05 de Agosto.
Lo recibirás en cualquier lugar de España entre 1 y 5 días hábiles luego del envío.
Reseña del libro "An Spss Guide for Tourism, Hospitality and Events Researchers (en Inglés)"
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.
