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Data Analyses and Interpretation (5 cr)

Code: YA00BR16-3006

General information


Enrollment

01.08.2024 - 31.12.2024

Timing

01.02.2025 - 31.05.2025

Number of ECTS credits allocated

5 op

Virtual portion

5 op

RDI portion

2 op

Mode of delivery

Distance learning

Unit

KAMK Master School

Teaching languages

  • Finnish

Degree programmes

  • Master´s Degree in Responsible Business Management

Teachers

  • Arja Oikarinen
  • Aki Kortelainen

Groups

  • AYM24S
    AYM24S
  • TLY24S
    TLY24S
  • LYL24SV
    LYL24SV
  • SJY24S
    SJY24S
  • LYL24S
    LYL24S
  • ALY24S
    ALY24S
  • SYT24S
    SYT24S
  • 21.03.2025 08:30 - 16:00, Tutkimusaineiston analysointi ja tulkinta YA00BR16-3006
  • 04.04.2025 08:30 - 16:00, Tutkimusaineiston analysointi ja tulkinta YA00BR16-3006
  • 09.05.2025 08:30 - 16:00, Tutkimusaineiston analysointi ja tulkinta YA00BR16-3006

Objective

Student
- is proficient in qualitative and quantitative data processing and analysis methods and is able to apply them in research and development activities
- can analyse and interpret qualitative and quantitative data
- is able to interpret and use scientific publications in research and development activities at work and in the work community
- master the basics of combining, linking and merging data and interpreting data according to mixed methods
- can critically assess the reliability and ethics of the processing, analysis and interpretation of data and the potential for their use
- master the key research methods related to research and development in their field

Content

Requirements for qualitative research data and conditions for data analysis
Processing, analysis, interpretation and quantification of qualitative research data
Different types of content analysis
Requirements and conditions for the analysis of quantitative research data
Processing, analysis and interpretation of quantitative survey data
Combining qualitative and quantitative data (mixed methods)

Evaluation scale

0 - 5

Assessment criteria, approved/failed

Approved
The student masters the basic concepts related to different types of data and is able to apply them. The student masters the basics of processing, analysis and interpretation of qualitative and quantitative data. The student is able to critically analyse and interpret qualitative and quantitative data. The student is able to perform statistical runs in a planned and correct manner and to analyse and interpret the results of analyses.