Métodos de Investigação em Turismo I

Objectives

1. Understand the nature of data in Tourism;
2. Construct questionnaire surveys in Tourism;
3. Use statistical tools in testing hypotheses in Tourism;
4. Build and estimate models in the Tourism sector;
5. Forecast variables related to Tourism activities.

Program

1. The nature of data in Tourism

2. Sampling techniques in Tourism
2.1 Defining a population
2.2 Selecting a random sample
2.3 Determining sample size
2.4 Avoiding sampling error and bias

3. Measurement of satisfaction and loyalty to the tourist destination
3.1 Measurement scales and variables
3.2 Dependent and independent variables
3.3 Validity and reliability of measuring instruments

4. Factors influencing satisfaction and loyalty to the tourist destination
4.1 Parametric and nonparametric statistical tests
4.2 Factor Analysis and Principal Components

5. Monitoring of touristic impacts
5.1 Multiple Regression
5.2 Structural Equation Modeling

6. Forecast of tourist demand
6.1 Numerical forecasting methods
6.2 ARIMA modeling
6.3 Modeling seasonality

Teaching Methodologies

Different from a standard statistics course, this curricular unit leaves little space to the theoretical discussion of the methods presented. Rather, it aims at providing practical hints on their application and a discussion on their advantages and disadvantages. Many examples will be presented and references to similar studies are illustrated and, in many cases, replace the theoretical exposition of the methods discussed. It is assumed that the student has at least a basic understanding and some familiarity with elementary statistics. The presentation of the different techniques is done with the help of the SPSS- Statistical Package for the Social Sciences. In classrooms that include contact hours in synchronous distance learning (up to 25%, i.e., 15 hours), learning tasks will be carried out within the Moodle platform (or another in use at UAc), stimulating engagement of students through, for example, the analysis of case studies or scientific articles.

Bibliography

- Baggio, R., & Klobas, J. (2017). Quantitative Methods in Tourism: A Handbook. Channel View Publications.
- Malhotra, N. (2010). Marketing Research: an applied orientation. Prentice Hall.
- Maroco, J. (2021). Análise estatística com o SPSS Statistics. ReportNumber.
- Newbold, P., Carlson, B., & Thorne, B. (2019). Statistics for Business and Economics. Pearson Education.
- Veal, A. J. (2017). Research Methods for Leisure & Tourism, A practical guide. Pearson Education.