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Quantitative Methods in Tourism: Aspects of Tourism, cartea 79

Autor Rodolfo Baggio, Jane Klobas
en Limba Engleză Paperback – 6 iul 2017
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
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Specificații

ISBN-13: 9781845416188
ISBN-10: 184541618X
Pagini: 274
Dimensiuni: 156 x 234 x 15 mm
Greutate: 0.42 kg
Ediția:2 ed
Editura: Channel View Publications Ltd
Colecția ASPECTS OF TOURISM
Seria Aspects of Tourism


Notă biografică

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.


Descriere

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.