Quantitative methods in tourism : a handbook / Rodolfo Baggio and Jane Klobas.
Material type:
TextSeries: Aspects of tourism ; 79.Publisher: Bristol : Channel View Publications, [2017]Copyright date: ©2017Edition: 2nd editionDescription: xx, 252 pages : illustrations (black and white) ; 24 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781845416188 (pbk.) :Subject(s): Tourism -- Research -- Methodology | Quantitative research | Geography | GeographyDDC classification: 910.7'21 Summary: 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.
| Item type | Current library | Home library | Shelving location | Class number | Status | Date due | Barcode | Item reservations | |
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 338.4791072/BAG (Browse shelf(Opens below)) | Available | 06769993 | |||
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 338.4791072/BAG (Browse shelf(Opens below)) | Available | 06770002 |
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| 338.4791072 TRA Travel, tourism, and hospitality research : a handbook for managers and researchers / | 338.4791072/BAG Quantitative methods in tourism : a handbook / | 338.4791072/BAG Quantitative methods in tourism : a handbook / | 338.4791072/BAG Quantitative methods in tourism : a handbook / | 338.4791072/QUA Qualitative methods in tourism research : theory and practice / | 338.4791072/QUA Qualitative methods in tourism research : theory and practice / | 338.4791072/QUA Qualitative methods in tourism research : theory and practice / |
Previous edition: 2011.
Includes bibliographical references and index.
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.
Specialized.
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