Credits: 6

Schedule: 18.04.2017 - 28.04.2017

Teacher in charge (valid 01.08.2018-31.07.2020): 

Amber Geurts
Kristiina Herold

Teaching Period (valid 01.08.2018-31.07.2020): 

Period II (2018-2019), Töölö campus
Period II (2019-2020), Otaniemi campus

Learning Outcomes (valid 01.08.2018-31.07.2020): 

This is a basic level course on quantitative research methods in management studies with an emphasis on developing hands-on knowledge in executing and critically assessing survey-based studies. Different to standard courses in statistics, this course is more focused on practical implementation of a quantitative research project in the field of management studies.

The objective of the course is to advance understanding of various principles and practices of quantitative research, and to improve the students’ readiness to execute a research project in their own discipline.

The main learning outcomes are to gain an understanding of the uses and limitations of common tools for analyzing quantitative data and to develop competence in collecting, modeling, and interpreting quantitative data. Students will improve their capacity to interpret and critically assess methodological execution of empirical management studies. On completion of this course, students are prepared to utilize obtained methodological skills in their master’s theses, doctoral dissertations, and/or other research projects.

Content (valid 01.08.2018-31.07.2020): 

The course covers the fundamentals of the research process, measures development, statistical analysis and modeling of data, and quantitative approaches to research, all with a focus on issues specific to management studies and emphasis on practical experience with application of SPSS analytics software.

Topics covered in the course include survey research design from hypotheses development to data collection; reliability and validity assessment of multi-item measurement scales; exploratory factor analysis; descriptive analysis of quantitative data; significance testing (confidence intervals, hypotheses tests); linear regression analysis; indirect effects (moderation, mediation); variable transformations; logistic regression analysis; introduction to structural equation modeling. Practical examples and exercises are embedded in the course structure.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

100% assignments

Workload (valid 01.08.2018-31.07.2020): 

Contact teaching 36h
Independent work 124h
Total 160h (6 ECTS)

Study Material (valid 01.08.2018-31.07.2020): 

Compulsory readings: Articles included in the syllabus.

Recommended readings (both textbooks are recommended, although not compulsory, for completing the course assignments): Field, A. (2009) Discovering Statistics Using SPSS. Sage Publications Ltd: London, UK.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014 or any earlier edition) Multivariate data analysis. Pearson Education Limited: Essex, UK.

Availability

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Replaces courses 80E80100 and 26E24000 Quantitative research methods. Please note that you can take either one of the courses.

Course Homepage (valid 01.08.2018-31.07.2020): 

https://mycourses.aalto.fi/course/search.php?search=26E02900

Grading Scale (valid 01.08.2018-31.07.2020): 

0-5

Registration for Courses (valid 01.08.2018-31.07.2020): 

via WebOodi

Further Information (valid 01.08.2018-31.07.2020): 

Max 24 students. Participants are selected based on their program status, according to the following priority order:

1. MIB / Strategy / Global Management / CEMS
2. Other School of Business students
3. Other Aalto students

Students must attend the first lecture to ensure their place in the course.
There is compulsory lecture attendance (85 %), including the last day of the course, when the group presentations are made.

Description