Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Upon completion of the course students will be able to carry out quantitative empirical research. More specifically, they will be able to:

  • Define research problems and research designs
  • Understand the role of theory and concepts in empirical research
  • Choose appropriate samples and empirical material for particular research problems
  • Analyze empirical material
  • Report empirical research
  • Define appropriate evaluative criteria for empirical research

Credits: 6

Schedule: 03.11.2020 - 12.11.2020

Teacher in charge (valid 01.08.2020-31.07.2022): Sami Kajalo

Teacher in charge (applies in this implementation): Sami Kajalo

Contact information for the course (valid 06.10.2020-21.12.2112):

Sami Kajalo

sami.kajalo@aalto.fi

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    The course introduces student to quantitative methods in business research, e.g.:

    • IBM SPSS software, transfer of quantitative data, basic computations and output generation
    • Cross tabulations and testing of statistical significance with Chi-square test
    • T-tests and analysis of variance (ANOVA)
    • Factor analysis
    • Cluster analysis
    • Regression analysis
    • Structural equation models
    • Construction of a research plan (for students doing quantitative research for their Master s Thesis)

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    • Obligatory learning exercises (50%)
    • Exam (50%)

  • Applies in this implementation:

    The details will be available at the course website before the course begins.



Workload
  • Valid 01.08.2020-31.07.2022:

    6 credits, 160 hours:

    1. Lectures (20h)
    2. Individual work (50h)
    3. Independent learning (86h)
    4. Exam (4h)

DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

    Coursebook: Malhotra, N.K., Birks, D.F. and Nunan, D. (2017). Marketing Research: An Applied Approach, 5. Edition, Pearson, ISBN-10: 1292103124, ISBN-13: 9781292103129, obligatory, Chapters 1-5 and 10-30. (Availability)

    Course slides and articles provided by the lecturer

Substitutes for Courses
  • Valid 01.08.2020-31.07.2022:

    The course substitutes the course 80E80100 Business Research Methods (6 cr), 23E22000 Markkinoinnin tutkimusmenetelmät (6 cr), 23E88002, Quantitative Research Methods in Marketing (3 cr) and 23E88003, Advanced Quantitative Research Methods in Marketing (3 cr)

Registration for Courses
  • Valid 01.08.2020-31.07.2022:

    Registration via WedOodi. Check registration time in WebOodi.

  • Applies in this implementation:

    Due to corona virus situation the course will be an online course.

    The details will be available at the course website when the course begins.

    Evaluation: There will be no exam. Instead there is an assignment (Research Plan for Master's Thesis). Details on the assignment are on the course website.


FURTHER INFORMATION

Further Information
  • Valid 01.08.2020-31.07.2022:

    The number of students admitted to the course is restricted to 35. Priority is given to Aalto students studying in MSc Program of Marketing.

  • Applies in this implementation:

    Due to corona virus situation the course will be an online course.

    The details will be available at the course website when the course begins.

    Evaluation: There will be no exam. Instead there is an assignment (Research Plan for Master's Thesis). Details on the assignment are on the course website.


Details on the schedule
  • Applies in this implementation:

    Online sessions (the course will be based on remote teaching due to corona virus situation).

    03.11.20
        tue 10.15-14.00, online session 
    04.11.20
        wed 10.15-14.00, online session 
    06.11.20
        fri 10.15-14.00, online session
    09.11.20
        mon 10.15-14.00, online session
    12.11.20
        thu 10.15-14.00, online session