Study unit

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3510011 Data-driven qualitative methodologies for forest scientists and foresters, 5 Cp 
Code 3510011  Validity 18.01.2018 -
Name Data-driven qualitative methodologies for forest scientists and foresters  Abbreviation QualForRes 
Credits5 Cp  Date of expiry  
TypeGeneral Studies Subject0951 Forestry 
ClassStudy Unit  Hours  
Study right   Grading0-5 
Recommended scheduling 
   
Organisation Forest Sciences (J) 

Teachers
Name
Jukka Tikkanen 

Study unit's general literature:
Author Title Year Obligatory library
     Eriksson and Kovalainen  Qualitative Methods in business Research  2016  Obligatory library


Description
Learning outcomes 

In forest sciences and practices study results and practical conclusions are often drawn from varying qualitative information like interviews, written comments, workshop materials etc. Researchers and practitioners encounter overload of versatile materials, which make consistent and transparent conclusions difficult. After this course students understand different approaches of qualitative analysis. They are able to use modern software in collecting and analyzing qualitative data effectively. They can conduct qualitative analysis by the aid of computer supported methodologies to collect, handle and analyse qualitative data effectively. Furthermore, they are able to conduct sound and transparent interpretations and conclusion from data.

 
Content 

Differentiating and common features of qualitative and quantitative research orientations. Data collection strategies and practices (prevailing documents vs. for-research materials, such as observation, interviews, focus-groups, nominal-group methodologies, open space in survey). Introduction to data analysis practices: from messages via codes to interpretation. Technologies to support qualitative analysis: recording and transcribing, data management, computer-supported analysis. Reporting qualitative research understandably, transparently, and ethically. Examples of qualitative analysis in forest sciences and practices.

 
Modes of study 

Lectures (20 h), exercises (30 h), exam, individual project work.

 
Study materials 

NVIVO and Decision explorer software.

Eriksson and Kovalainen (2008, 2016). Qualitative Methods in business Research. Sage Publication Ltd.

 
Evaluation criteria 

0-5; project work 50 %, exam 50%.

 
Teachers 

Jukka Tikkanen, Teppo Hujala, visiting lecturers

 
Time 

Every year, in the spring

 
Campus 

Joensuu

 
Further information 

Lectures in English, exercises and exam in English or in Finnish. In study programs of Forest Sciences the course (or similar course elsewhere) is a pre-requirement for thesis applying qualitative methodologies. The number of participants for the course may be limited due to number of computers available in the IT room. M.Sc. and doctoral students of the School of Forest Sciences are prioritized; especially students who are doing or are planning to do thesis applying qualitative methodologies.

 


Letter (J, K) in front of the name of the course/exam indicates the campus on which teaching or exam takes place: J = Joensuu, K = Kuopio.

Present and future teaching
Functions Name Type Cp Teacher Timetable
Register J: Data-driven qualitative methodologies for forest scientists and foresters  Lecture and exercise course  Jukka Tikkanen  03.02.21 -31.03.21

Future exams
No exams