株式会社極東書店トップ商品一覧An SPSS Guide for Tourism, Hospitality and Events Researchers.

商品詳細

An SPSS Guide for Tourism, Hospitality and Events Researchers.

An SPSS Guide for Tourism, Hospitality and Events Researchers.

・ISBN 978-0-367-23657-1 hard GB£ 171.99

¥54,486.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9780429281068
著者・編者Kaurav, Rahul Pratap Singh / Gursoy, Dogan / Chowdhary, Nimit (eds.),
出版社 (Routledge, UK)
出版年月2020
ページ数398 pp.
言語ENG
ニュース番号<A02-6278>

解説

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.