QUALITATIVE AND QUANTITATIVE DATA ANALYSIS
| Title | ΠΟΙΟΤΙΚΗ – ΠΟΣΟΤΙΚΗ ΑΝΑΛΥΣΗ ΔΕΔΟΜΕΝΩΝ / QUALITATIVE AND QUANTITATIVE DATA ANALYSIS |
| Code | ΑΔ |
| Faculty | Education |
| School | Primary Education |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Mikail Christodoulou |
| Common | Yes |
| Status | Active |
| Course ID | 600017679 |
| Academic Year | 2021 – 2022 |
| Class Period | Winter |
| Faculty Instructors | |
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600200319
|
Class Schedule
| Building | School of Education (Tower Building) |
| Floor | Floor 1 |
| Hall | ΑΙΘΟΥΣΑ ΜΕΓΑΛΗ 1ου ΟΡ. (177) |
| Calendar | Thursdsay 15:00 to 18:00 |
Course Type 2021
Specific Foundation
Course Type 2016-2020
- Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600200319
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=15743
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Conceptual understanding of basic statistical procedures for quantitative and qualitative data:
• Practicing in coding quantitative and qualitative data
• Understanding methods of quantitative data analysis
• Understanding methods of qualitative data analysis
• Getting familiar with research reports using quantitative and qualitative data analysis
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Generate new research ideas
- Be critical and self-critical
Course Content (Syllabus)
The aim of the course is to introduce students to some commonly used quantitative and qualitative methods for analyzing an interpreting data.
• Quantitative analysis: variables, data coding, descriptive statistics and the use of basic statistical analysis.
• Qualitative analysis: coding, thematic analysis, content analysis, observation data analysis
Keywords
Quantitative data, qualitative data, descriptive statistics, thematic analysis
Educational Material Types
- Slide presentations
- Interactive excersises
- 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
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 24 | ||||
| Laboratory Work | 17 | ||||
| Reading Assigment | 16 | ||||
| Exams | 3 | ||||
| Total | 60 |
Student Assessment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Exam with Problem Solving (Summative)
- Labortatory Assignment (Formative)
Bibliography
Course Bibliography (Eudoxus)
Bergin, T, 2021, Εισαγωγή στην ανάλυση δεδομένων. Ποσοτικές, ποιοτικές και μικτές μέθοδοι. Αθήνα: Gutenberg
Additional bibliography for study
•De Vaus, D. (2011). Ανάλυση κοινωνικών δεδομέων, Αθήνα: Πεδίο
•Καλτσούνη, Χ-Ν. (2006). Μεθοδολογία εμπειρικής έρευνας στις κοινωνικές επιστήμες, Αθήνα: Gutenberg
•Τσιώλης Γ., 2014, Μέθοδοι και τεχνικές ανάλυσης στην ποιοτική έρευνα, Αθήνα: Κριτική
•Χριστοδούλου Μ., (2019), Κριτικός Ρεαλισμός και Βιογραφική Μέθοδος στην ποιοτική έρευνα. Φιλοσοφικά ζητήματα και ερευνητικές εφαρμογές, Πάτρα: Opportuna
Last Update
22-01-2022
