Quantitative Methods in Tourism
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Rodolfo Baggio
and Jane Klobas
About this book
In this revised second edition, the authors offer a presentation of quantitative research methods for tourism researchers. This accessible and rigorous guide covers common issues in statistical analysis of data and the most widely-used techniques as well as several newer and less common approaches to data analysis.
Author / Editor information
Rodolfo Baggio is Professor, Bocconi University, Italy. His research interests include the application of complexity science and network science to the tourism and hospitality domains.
Klobas Jane :Jane Klobas is an Education and Research Consultant, based in Australia and Italy. She is an Adjunct Professor at Murdoch University, Australia and a Visiting Professor at the University of Bergamo, Italy and other universities in Europe and Asia. Her interests include research development, adult learning, knowledge and information management and applications of the theory of planned behaviour.
Rodolfo Baggio is Professor of the Master of Economics and Tourism at Bocconi University, Italy. His research interests focus on information technology and tourism and his current work combines complexity theory and network analysis methods to the study of tourism destinations.
Jane Klobas is an Education and Research Consultant, based in Australia and Italy. She is an Adjunct Professor at Murdoch University, Australia and a Visiting Professor at the University of Bergamo, Italy and other universities in Europe and Asia. Her interests include research development, adult learning, knowledge and information management and applications of the theory of planned behaviour.
Reviews
An excellent practical guide for researchers, analysts, industry consultants and students, providing a rigorous yet readable account of standard and new quantitative statistical applications in tourism contexts. This usable reference book deserves a prominent place on every tourism scholar’s bookshelf.
With wide coverage of quantitative approaches and practical examples in tourism, this book walks readers through the essentials of quantitative methods that are required to keep pace with the fast-changing tourism industry. The book provides a thorough review of quantitative techniques and addresses pressing issues such as “Big Data”, making it a must-read reference for researchers, educators, practitioners, and students.
New material in the second edition of this handbook includes a chapter on big data and updated coverage of agent-based modelling. Illustrated throughout with a variety of well-chosen examples pertaining to a wide range of tourism topics, this is an essential addition to the book shelves of all tourism graduate students and researchers.
Topics
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Frontmatter
i -
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Contents
v -
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Contributors
xi -
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Foreword
xiii -
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Introduction to the Second Edition
xv -
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Introduction
xvii - Part 1: The Analysis of Data
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Introduction to Part 1
1 -
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1. The Nature of Data in Tourism
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2. Testing Hypotheses and Comparing Samples
19 -
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3. Data Reduction
47 -
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4. Model Building
87 -
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5. Time-Dependent Phenomena and Forecasting
152 - Part 2: Numerical Methods
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Introduction to Part 2
183 -
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6. Maximum Likelihood Estimation
187 -
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7. Monte Carlo Methods
200 -
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8. Big Data
210 -
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9. Simulations and Agent-Based Modelling Appendix: Software Programs
223 -
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Appendix: Software Programs
245 -
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Subject Index
251