Quant­it­at­ive Re­search Meth­ods in Tour­ism and Hos­pit­al­ity

Course content

Aim of the course:

The purpose of this course is that students understand and can apply quantitative research methods that are relevant for and used in tourism and hospitality research.

Content:

Students learn how to screen data, assess the quality of the data and transformation the data (if needed). The main part of the lectures are dedicated that the students are equipped to understand and apply suitable quantitative methods for research questions and data types. This includes correlation analysis, A/B testing, regression analysis, factor analysis, moderation and mediation analysis and more advanced statistical methods. The course also includes a Hackathon with data of the tourism and hospitality industry. In the course, the students get data provided throughout the course to practice these methods as well as datasets to for their mid-term assessment and final written group project. Throughout the course, we will use R - the free software environment for statistical computing and graphics.