Hyödyllisyys
Työmäärä
Sisältö
From customer satisfaction and consumer product surveys to healthcare surveys and public opinion polls, we regularly encounter a variety of surveys. These tools are essential for data collection and are widely used by businesses, the media, public sector organizations, and academic researchers. Regardless of your chosen career path, if you plan to work with data, you will likely need to engage with surveys. This course aims to introduce and provide an overview of survey methods, including their applications and limitations. It will cover key topics in survey research related as survey design, sampling techniques, and data analysis. Instruction will be based on a combination of case studies, real-world datasets, and a hands-on project where students will design their own surveys. By the end of this course, you will be equipped to design and administer methodologically sound surveys. You will also gain the ability to analyze survey data, deriving insights that support both your own research and the research needs of your organization. Furthermore, you will develop skills to critically assess the survey research conducted by others.
Osaamistavoitteet
The goal of the course is to equip students with the following valuable skills for a career in market research: <ul><li>Apply the basic principles of survey research to design and conduct their own surveys.</li><li>Utilize a range of data analysis techniques to analyze survey data.</li><li>Understand the ethical considerations involved in survey research.</li><li>Apply all of the above to critically evaluate survey research conducted by others.</li></ul> <b>Master's thesis students:</b> This course caters to students who plan to collect or use survey data as part of their Master’s Thesis research projects. It is offered twice a year (periods I and III). We recommend that you take this course once you have finalized your research questions and are ready to begin designing your survey.
Esitiedot
Recommended prerequisites: It is expected that enrolled students have basic knowledge of statistical methods (e.g., an introductory course completed at Aalto BIZ or elsewhere), as well as at least some familiarity with a software package for analyzing quantitative data (e.g., SPSS, R, Python). While these are not strict prerequisites, students who do not meet the above criteria may struggle in the course.
Työmäärä
Contact teaching and independent work
Arviointimenetelmät
Individual and group assignments, final exam.