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Quantitative Methods in Tourism: A Handbook 2nd edition


Quantitative Methods in Tourism: A Handbook 2nd edition

Paperback by Baggio, Rodolfo; Klobas, Jane

Quantitative Methods in Tourism: A Handbook

£34.95

ISBN:
9781845416188
Publication Date:
6 Jul 2017
Edition/language:
2nd edition / English
Publisher:
Channel View Publications Ltd
Imprint:
Channel View Publications
Pages:
272 pages
Format:
Paperback
For delivery:
Estimated despatch 6 - 8 May 2024
Quantitative Methods in Tourism: A Handbook

Description

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

Contents

Foreword Introduction to the Second Edition Introduction Part I - The Analysis of Data Introduction to Part I Chapter 1 - The Nature of Data in Tourism Chapter 2 - Testing Hypotheses and Comparing Samples Chapter 3 - Data Reduction Chapter 4 - Model Building Chapter 5 - Time Dependent Phenomena and Forecasting Part II - Numerical Methods Introduction to Part II Chapter 6 - Maximum Likelihood Estimation Chapter 7 - Monte Carlo Methods Chapter 8 - Big Data Chapter 9 - Simulations and Agent-Based Modelling Appendix: Software Programs

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