Advanced Research Methods (5 ECTS)

Learning outcomes

The purpose of the course is to deepen the student's research and development skills and prepare the student to plan, execute and assess research and development projects by using different types of methodological approaches.

Learning outcomes:
• The student is capable of planning research and development projects choosing appropriate research methods.
• The student has deep insights in the science philosophical grounds of the selected methodological approaches and respective methods.
• The student is able to present the outcomes of her/his research in a valid form and manner for the methodological approach.
• The student is able to analyse quantitative and qualitative data.

Content

Learning contents
Planning research projects

Qualitative research
Fenomenology, fenomenography
Case study, Narrative study
Literature review, systematic literature review
Analysing and interpretanting qualitative data

Quantitative research
refreshing parametric and non-parametric basic methods
meaning of coinfidence intervals
covariance analysis
cronbach alfa coefficient in testing construct reliability
regression
data analysis and interpretation

Developmental methods

Prerequisites

Research methods and tools 5 ECTS credits or equivalent research and development studies.

Teaching methods

Syncronous online lectures, workshops and reflective sessions
Asyncronous online learning
Exam

Location and time

Introduction Thurs (1h) 31.3 at 13-14 Helena Miettunen ja Eija Metsälä
Approaches to different types of research projects (2h) Tricia Cleland Silva Fri 1.4 at 12-14
Concept analysis (2h) Tricia Cleland Silva Thurs 7.4 at 12-14
Phenomenography (1h) Tricia Cleland Silva Fri 8.4 at 12-13
Case study, Narrative study (1h) Tricia Cleland Silva Thurs 21.4 at 12-13
Literature review, systematic literature review (1h) Tricia Cleland Silva Fri 22.4 at 12-13
Analysing and interpreting qualitative data, Introduction + giving an analysis assignment (1h) Eija Metsälä Fri 22.4 at 13.15-14.15
Content analysis assignment + workshop (2h) Eija Metsälä Thurs 28.4 at 12-14
Reflective questions about videos 1-4 and about Mujis D book chapters 1-4 (1h) Fri 6.5 at 12-13 Eija Metsälä
Interpretating quantitative analysis (2h) Eija Metsälä Thurs 12.5 at 12-14
SPSS-workshop (2h) Eija Metsälä Thurs 19.5 at 12-14
Developmental methods (1h) Tricia Cleland Silva Fri 20.5 at 12-13
Exam Fri 3.6 at 9-10 Tricia Cleland Silva and Eija Metsälä

Learning materials and recommended literature

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Alternative completion methods of implementation

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Internship and working life connections

-

Exam dates and retake possibilities

Exam Fri 3.6 at 9-10
Retake Fri 17.6 at 9-10

International connections

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Student workload

5 ECTS = 135 h student work

Content scheduling

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Further information for students

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Assessment methods and criteria

Returning assignments of the course and having accept of them
Exam

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

• The student is capable of planning research and choosing appropriate research methods.
• The student understands in the science philosophical grounds of the selected methodological approaches and respective methods.
• The student is able to present the outcomes of her/his research in a valid form.
• The student is able to apply principles of quantitative and qualitative data analysis to a given data set and interpretate it.

Assessment criteria, good (3)

• The student is capable of planning research and choosing appropriate research methods.
• The student has insights in the science philosophical grounds of the selected methodological approaches and respective methods and she/he can argument on them.
• The student is able to present the outcomes of her/his research in a valid form and manner for the methodological approach.
• The student is able to apply principles of quantitative and qualitative data analysis to a given data set, and to report and interpret it with the manner typical to the analysis method.

Assessment criteria, excellent (5)

• The student is capable of planning research and choosing appropriate research methods.
• The student has deep insights in the science philosophical grounds of the selected methodological approaches and respective methods. He/she is able to creatively argument one’s personal methodological choices based on those.
• The student is able to present the outcomes of her/his research creatively applying the form and manner of the chosen methodological approach.
• The student is able to apply principles of quantitative and qualitative data analysis to a given data set and report and interpret it innovatively with the manner typical to the methodological approach and analysis method.