Quantitative Methods in Tourism

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. This accessible and rigorous guide goes beyond the approaches usually covered in introductory textbooks on quantitative methods to consider useful techniques for statistical inquiry into tourism matters of all but the most econometrically complex kind. 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.Updates to the 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

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. This accessible and rigorous guide goes beyond the approaches usually covered in introductory textbooks on quantitative methods to consider useful techniques for statistical inquiry into tourism matters of all but the most econometrically complex kind. 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.Updates to the 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