Data Analyses and Interpretation (5 cr)
Code: YA00BR16-3005
General information
Enrollment
01.08.2023 - 31.12.2023
Timing
01.03.2024 - 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
- Finnish
Degree programmes
- MASTER´S DEGREE IN BUSINESS MANAGEMENT
Teachers
- Katri Takala
- Aki Kortelainen
Groups
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SKY23SSKY23S
-
SJY23SSJY23S
-
LYL23SLYL23S
-
LYL23SVLYL23SV
-
SYT23SSYT23S
-
TLY23STLY23S
-
AYM23SAYM23S
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ALY23SALY23S
- 22.03.2024 08:30 - 16:00, Tutkimusaineiston analysointi ja tulkinta YA00BR16-3005
- 19.04.2024 08:30 - 16:00, Tutkimusaineiston analysointi ja tulkinta YA00BR16-3005
- 10.05.2024 08:30 - 16:00, Tutkimusaineiston analysointi ja tulkinta YA00BR16-3005
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.