Qualitutive and quantitative data analysis

Course Information
TitleΠοιοτική - ποσοτική ανάλυση δεδομένων / Qualitutive and quantitative data analysis
SchoolPrimary Education
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter/Spring
CoordinatorMikail Christodoulou
Course ID600015084

Programme of Study: PMS Epistīmes tīs Agōgīs: Didaktikés Praktikés kai Diadikasíes Máthīsīs (2018-sīmera)

Registered students: 10
OrientationAttendance TypeSemesterYearECTS
Glōssikós Grammatismós kai Logotechnikī EkpaídeusīCompulsory Course3210

Class Information
Academic Year2021 – 2022
Class PeriodWinter
Faculty Instructors
Class ID
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
on the completion of the course students should be able to: -code qualitative and quantitative data. -analyse qualitative and quantitative data, using various methods. -present qualitative and quantitative data.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
  • Appreciate diversity and multiculturality
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
The course focuses on the management of qualitative and quantitative data. Basic methods for analysing quantitative data and the criteria for their implementation are presented. Furthermore the distinctions between the different kinds of variable are presented and connected to different methods of analysis. Methods for analysing a single variable at a time (univariate analysis), the relationships between two variables (bivariate analysis) or three and more variables (multivariate analysis) are also presented. On the second part of the course methods of qualitative data analysis are presented such as analytic induction, grounded theory, thematic analysis, discourse analysis, critical discourse analysis.
quantitative research, qualitative research, quantitative - qualitative data analysis
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Course Organization
Laboratory Work602
Reading Assigment622.1
Written assigments802.7
Student Assessment
Evaluation will be based on two written assignments of 1500 and 3000 words respectively and oral presentations. The first coursework will be handed in the middle of the course and will be based on a critical analysis of research study. The second coursework will be handed in at the end of the course and will be based on the review and critical analysis of the literature on a specific area which is related to the course content.
Student Assessment methods
  • Written Assignment (Formative, Summative)
  • Performance / Staging (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Course Bibliography (Eudoxus)
Θα δοθούν διάφορα άρθρα για επεξεργασία.
Additional bibliography for study
Bryman, A. (2018). Μέθοδοι κοινωνικής έρευνας. Αθήνα: Gutenberg. Χλουβεράκης, Γ. (2002). Εισαγωγή στη στατιστική. Αθήνα: Ελληνικά Γράμματα. Ρούσσος, Π. & Τσαούσης, Γ. (2006). Στατιστική εφαρμοσμένη στις κοινωνικές επιστήμες. Αθήνα: Ελληνικά Γράμματα. Willig, C. (2013). Ποιοτικές μέθοδοι έρευνας στην ψυχολογία. Αθήνα: Gutenberg. Glesne, C. (2016). Η ποιοτική έρευνα. Αθήνα: Μεταίχμιο.
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