QUALITATIVE AND QUANTITATIVE DATA ANALYSIS

Course Information
TitleΠΟΙΟΤΙΚΗ – ΠΟΣΟΤΙΚΗ ΑΝΑΛΥΣΗ ΔΕΔΟΜΕΝΩΝ / QUALITATIVE AND QUANTITATIVE DATA ANALYSIS
CodeΑΔ
FacultyEducation
SchoolPrimary Education
Cycle / Level1st / Undergraduate
Teaching PeriodWinter/Spring
CoordinatorMikail Christodoulou
CommonYes
StatusActive
Course ID600017679

Class Information
Academic Year2020 – 2021
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours3
Total Hours39
Class ID
600183319

Class Schedule

Building
Floor-
HallΕξ αποστάσεως (900)
CalendarThursdsay 09:00 to 12:00
Course Type 2021
Specific Foundation
Course Type 2016-2020
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Distance learning
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
  • Notes
  • Slide presentations
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
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures20
Laboratory Work25
Reading Assigment12
Exams3
Total60
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)
Bryman, A. (2016). Μέθοδοι Κοινωνικής Έρευνας. Αθήνα: Gutenberg.
Last Update
05-01-2022