Data Analyses and InterpretationLaajuus (5 cr)
Code: YA00BR16
Credits
5 op
Teaching language
- Finnish
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)
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.
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
-
AYM24SAYM24S
-
TLY24STLY24S
-
LYL24SVLYL24SV
-
SJY24SSJY24S
-
LYL24SLYL24S
-
ALY24SALY24S
-
SYT24SSYT24S
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.
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
-
SKY23SSKY23S
-
SJY23SSJY23S
-
LYL23SLYL23S
-
LYL23SVLYL23SV
-
SYT23SSYT23S
-
TLY23STLY23S
-
AYM23SAYM23S
-
ALY23SALY23S
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.
Enrollment
01.09.2022 - 31.12.2022
Timing
01.01.2023 - 31.05.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
RDI portion
2 op
Mode of delivery
Distance learning
Unit
Business
Teaching languages
- Finnish
Degree programmes
- MASTER´S DEGREE IN BUSINESS MANAGEMENT
Teachers
- Katri Takala
- Aki Kortelainen
Groups
-
AYM22SAYM22S
-
SYT22SSYT22S
-
TLY22STLY22S
-
LYL22SVLYL22SV
-
LYL22SLYL22S
-
ALY22SALY22S
-
SJY22SSJY22S
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.
Enrollment
01.08.2021 - 31.12.2021
Timing
01.01.2022 - 31.05.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
RDI portion
2 op
Mode of delivery
Distance learning
Unit
Business
Teaching languages
- Finnish
Degree programmes
- Master’s Degree in Sports Leadership and Development
- MASTER´S DEGREE IN BUSINESS MANAGEMENT
- Master’s Degree in Tourism Leadership and Development
- Degree Programme in Management of Health and Social
- Business Information Technology and Business Expertise Degree (Masters)
- Degree Programme in Advanced Practice Nurse
Teachers
- Katri Takala
- Aki Kortelainen
- Eija Heikkinen
Groups
-
SKY21SSKY21S
-
ALY21SALY21S
-
SJY21SSJY21S
-
LYL21SVLYL21SV
-
TLY21STLY21S
-
LYL21SLYL21S
-
AYM21SAYM21S
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.