| CODE | TRS1120 | ||||||
| TITLE | Data in Tourism Studies | ||||||
| UM LEVEL | 01 - Year 1 in Modular Undergraduate Course | ||||||
| MQF LEVEL | 5 | ||||||
| ECTS CREDITS | 4 | ||||||
| DEPARTMENT | Institute for Tourism, Travel and Culture | ||||||
| DESCRIPTION | - An introduction to Tourism Research - The stages of a Statistical Investigation - Types of variables (discrete, continuous, dichotomous) and measurement scales (nominal, ordinal, interval, ration). - Descriptive Statistics (measures of central tendency, measures of spread and statistical diagrams (histograms, bar charts, pie charts, box plots, etc) - Probability (Discrete and Continuous) - Survey methods (probability sampling techniques, non-probability sampling techniques, designing a questionnaire, sample size determination) - An introduction to hypothesis testing – the Chi-Square test - Correlation and Regression The focus will not be on laborious calculations but on understanding the key concepts and principles of statistics with a special reference to tourism. Practical exercises and files containing data sets will be prepared to help participants learn interpret statistical output. Case studies should also provide an additional problem-solving experience and help participants to master essential data analytical skills. Study-unit Aims To help students of tourism studies master basic quantitative techniques and procedures used for gathering, organising, analysing and communicating quantitative information. The aim of the programme is to provide a structured approach to model building. Learning Outcomes 1. Knowledge & Understanding: By the end of the study-unit the student will be able to: - Understand the basic principles of research - Read research data - Understand tourism data 2. Skills (including transferable [generic] skills): By the end of the study-unit the student will be able to: - Conduct basic statistical analysis - Draw conclusions from research - Present statistical data Main Text/s and any supplementary readings Case examples will be provided by lecturer MTA Annual Statistics (available online) NSO Statistics (available online) |
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| STUDY-UNIT TYPE | Lecture and Tutorial | ||||||
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| LECTURER/S | Silvio De Bono |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years. |
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