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Tourism and leisure research methods data collection, analysis, and interpretation Mick Finn, Martin Elliott-White, Mike Walton

By: Contributor(s): Material type: TextTextPublication details: Harlow Longman c2000Description: xvii, 285 pages. 24 cmsISBN:
  • 9780582368712
  • 0582368715
Subject(s): DDC classification:
  • 338.4791072 FIN
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Standard Loan Moylish Library Main Collection 338.4791072 FIN (Browse shelf(Opens below)) 1 Missing 39002000252610
Standard Loan Moylish Library Main Collection 338.4791072 FIN (Browse shelf(Opens below)) 2 Available 39002000385089

Enhanced descriptions from Syndetics:

This practical guide for undergraduate and HND/C students of Leisure and Tourism provides the tools to recognise and produce good research. It delivers a highly readable demonstration of the methods needed to achieve impressive qualitative and quantitative research. It will enable readers to successfully evaluate their own tourism and leisure research and the research of others. The book focuses on the key concepts of reliability, validity and representativeness. Extensive examples throughout the book highlight the techniques and theory described, and provide the inspiration for readers to generate ideas for new research projects. The book is directly focused on tourism and leisure examples. A step-by-step guide takes students through the use of SPSS for Windows and an SPSS data file is included; end of chapter exercises test student understanding of the material; and numerous suggestions for further research activity direct the reader to additional sources.

Includes bibliographical references and index

Table of contents provided by Syndetics

  • Introducing Research
  • Methodology and Research Design
  • Evaluating Research
  • Secondary Data Analysis in Leisure & Tourism Research
  • Qualitative methods
  • Social Surveys
  • Sampling Techniques
  • The Analysis of Qualitative Data Content Analysis and Semiological Analysis
  • Summarising data descriptive statistics and the graphical presentation of data
  • Bivariate and Multivariate Analysis
  • Inferential Statistics
  • Writing a Research Report

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