Advanced Research Methods (5 ECTS)

Objective

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

Location and time

Mandatory (online) sessions
Thursday 7.9.2023 at 14.45-15.45 Introduction Thurs (1h) SK & EM
Thursday 20.9 at 14-15 Approaches to different types of research projects (2h) SK
Wednesday 20.9 at 15-16 Concept analysis (2h) SK
Wednesday 27.9 at 14-15 Fenomenology, fenomenography (1h) SK
Wednesday 27.9 at 15-16 Case study, Narrative study (1h) SK
Thursday 5.10 at 14.45-15.45 Analysing and interpreting qualitative data, Introduction + giving an analysis assignment (1h) EM
Thursday 26.10 at 12.30-13.30 Developmental methods (1h)
Thursday 26.10 at 13.45-15.45 Content analysis assignment + workshop (2h) EM
Wednesday 1.11 at 14.45-15.45 Reflective questions about videos 1-4 and about Mujis D book chapters 1-4 (1h) EM
Wednesday 15.11 at 10.30-12.30 Interpretating quantitative analysis (2h) EM
Wednesday 29.11 at 12-16.00-18.00 SPSS-workshop (2h) EM
Exam Mon 11.12 at 16-17, Retake 1. Mon 18.12 at 16-17 Retake 2 Mon 15.1.2024 at 16-17

Materials

Can be seen at the Moodle platform

Teaching methods

Online lectures and workshop, independent work

Exam schedules

Exam Mon 11.12 at 16-17, Retake 1. Mon 18.12 at 16-17 Retake 2 Mon 15.1.2024 at 16-17

Completion alternatives

N/A

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.

Assessment methods and criteria

Active participation to he online sessions and worshops of the course, returning course assignments in time and exam

Qualifications

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

Execution methods

Syncronous and asyncronous online teaching