Quantitative Methods in Tourism: A Handbook (ASPECTS OF TOURISM)

. 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. Rodolfo Baggio is Professor of the Master of Economics and Tourism at Bocconi University, Italy. Her interests include research development, adult learning, knowledge and inf

In this revised second edition, Baggio and Klobas build upon the work of their previous volume, offering a presentation of quantitative research methods for tourism researchers. The first part of the book concerns common issues in statistical analysis of data and the most widely-used techniques, while the second part describes and discusses several newer and less common approaches to data analysis that are valuable for tourism researchers and analysts. second edition include: • a new chapter on “Big Data” • consideration of data screening and cleaning • the use of similarity and diversity indexes for comparing samples • observations about the partial least squares (PLS) approach to path modelling • a new section on multi-group structural equation modelling • a new section on common method variance and its treatment • revised and updated section on software • fully updated references and examples. This accessible and rigorous guide goes beyond the approaches usually

(Rob Law, The Hong Kong Polytechnic University, Hong Kong)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. (Larry Dwyer, University of Ljubljana, Slovenia) . 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. (Sarah Nicholls, Michigan State University, USA)With wide coverage of quantitative approaches and practical examples in t

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