Tourism Data Quantitative Analysis Lab

Code: SOC15058D

9 ECTS

Duration: 15 weeks/234 hours

Scientific Area: Tourism

Teaching languages: Portuguese

Languages of tutoring support: Portuguese, English

Regime de Frequência: B-learning

Sustainable Development Goals

Educação de qualidade - Assegurar a educação inclusiva, e equitativa e de qualidade, e promover oportunidades de aprendizagem ao longo da vida para todos.

Trabalho digno e crescimento económico - Promover o crescimento económico sustentado, inclusivo e sustentável, emprego pleno e produtivo, e trabalho decente para todos.

Parcerias para a implementação dos objetivos - Fortalecer os meios de implementação e revitalizar a parceria global para o desenvolvimento sustentável.

Learning Goals

The aim of this course unit is to provide students with knowledge, skills, and competencies to:
- Identify the procedures inherent in the analysis of quantitative data most suitable for the research to be developed;
- Select and be able to apply data analysis based on the assumptions and tests provided in each technique, within the scope of tourism research;
- Enhance knowledge of multivariate data analysis in order to apply appropriate techniques for the analysis of data collected in research.
- Adopt the most appropriate software for data analysis in tourism.

1. Typology of variables, populations, and samples
2. Database creation and editing
3. Quantitative data analysis
3.1. Exploratory data analysis
3.2. Univariate analysis
3.3. Bivariate analysis
3.3.1. Non-parametric tests
3.3.2. Parametric tests
3.4. Multivariate analysis
3.4.1. CATPCA and Factorial analysis
3.4.2. Cluster analysis
3.4.3. Discriminant analysis
3.4.4. Conjoint analysis
3.4.5. Logistic regression analysis
3.4.6. Linear regression analysis
3.4.7. Structural equation models
3.4.8. Other relevant techniques

Teaching Methods

During the lessons, there will be times for oral presentation of new concepts and general guidance regarding the data analysis procedures, using the most adequate technologies of information and communication, specific software for processing and analyzing quantitative data, scientific articles, books and other materials that are relevant at any given time, as well as the application of practical exercises, with collective or individual resolution, in person or remotely. The teaching component of the course is structured into 3 points, corresponding to a total of 30 hours of theoretical-practical teaching sessions, with 24 hours of face-to-face contact and 6 hours of synchronous or asynchronous contact.

Assessment

According to the academic regulations of the University of Évora, students have the option to choose between continuous assessment or examination.
Continuous assessment:
Participation in a real-life data collection exercise (20%) + Individual assignment (80%).
Exam (supplementary and/or special seasons):
Participation in a real-life data collection exercise (20%) + Written exam (80%).