Data Analyses and Interpretation (5 cr)

Code: YA00BR16-3006

General information

Enrollment: 01.08.2024 - 31.12.2024
Registration for the implementation has ended.

Timing: 01.02.2025 - 31.05.2025
Implementation is running.

Number of ECTS credits allocated: 5 cr

Local portion: 0 cr

Virtual portion: 5 cr

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

Course: YA00BR16

Realization has 3 reservations. Total duration of reservations is 22 h 30 min.

Time	Topic	Location
Fri 21.03.2025 time 08:30 - 16:00 (7 h 30 min)	Tutkimusaineiston analysointi ja tulkinta YA00BR16-3006	Teams opetus
Fri 04.04.2025 time 08:30 - 16:00 (7 h 30 min)	Tutkimusaineiston analysointi ja tulkinta YA00BR16-3006	Teams opetus
Fri 09.05.2025 time 08:30 - 16:00 (7 h 30 min)	Tutkimusaineiston analysointi ja tulkinta YA00BR16-3006	Teams opetus

Changes to reservations may be possible.

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.