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Business Research and Development Methods II (5 cr)

Code: LY00BJ57-3009

General information

Enrollment

01.08.2023 - 31.12.2023

Timing

01.01.2024 - 15.05.2024

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

KAMK Master School

Teaching languages

  • English

Degree programmes

  • Master's Degree in International Business Management

Teachers

  • Aki Kortelainen
  • Jaana Lappalainen

Groups

  • MGB23S
    MGB23S
  • MGBE23S
    MGBE23S
  • LBY23S
    LBY23S
  • 16.01.2024 09:00 - 11:30, QUANTITATIVE methods_Business Research and Development Methods II LY00BJ57-3009
  • 16.01.2024 12:30 - 16:15, QUANTITATIVE methods_Business Research and Development Methods II LY00BJ57-3009
  • 17.01.2024 09:00 - 11:15, Quantitative methods_Business Research and Development Methods II LY00BJ57-3009
  • 18.01.2024 09:00 - 11:30, Business Research and Development Methods II LY00BJ57-3009
  • 30.01.2024 14:00 - 16:00, Business Research and Development Methods II LY00BJ57-3009
  • 13.02.2024 16:00 - 18:00, Business Research and Development Methods II LY00BJ57-3009
  • 20.02.2024 16:00 - 18:00, Business Research and Development Methods II LY00BJ57-3009
  • 27.02.2024 14:00 - 16:00, Business Research and Development Methods II LY00BJ57-3009
  • 12.03.2024 14:00 - 16:00, Business Research and Development Methods II LY00BJ57-3009
  • 19.03.2024 14:00 - 16:00, Business Research and Development Methods II LY00BJ57-3009

Objective

Student will learn the methods how to use, handle, analyze and interpret both qualitative and quantitative data. She/he will learn how to combine qualitative and quantitative data, i.e. use mixed methods/triangulation.

Content

Qualitative data analyses
Quantitative data analyses

Evaluation scale

0 - 5

Assessment criteria, approved/failed

Pass
Student knows the requirements of quantitative and qualitative data analyses and can apply different analysis methods in his/her research process. Students is able to collect and analyse both qualitative and quantitative data and further interpret the results in a critical way.