QUANTITATIVE DATA ANALYSIS
| Title | ΑΝΑΛΥΣΗ ΠΟΣΟΤΙΚΩΝ ΔΕΔΟΜΕΝΩΝ / QUANTITATIVE DATA ANALYSIS |
| Code | ΕΠΜ113 |
| Faculty | Education |
| School | Primary Education |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Mikail Christodoulou |
| Common | No |
| Status | Active |
| Course ID | 600024101 |
Programme of Study: PPS Tmīmatos Dīmotikīs Ekpaídeusīs (2024-sīmera)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | 5 | 3 | 5 |
| Academic Year | 2025 – 2026 |
| Class Period | Winter |
| Faculty Instructors | |
| Instructors from Other Categories | |
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600278132
|
Class Schedule
| Building | Παιδαγωγικό Μπλε |
| Floor | Υπόγειο 1 |
| Hall | ΛΥΟΜΕΝΟ 3 (υπόγειο) (169) |
| Calendar | Πέμπτη 11:00 έως 13:30 |
Course Type 2021
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600278132
- eLearning (Moodle):
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Students will able to insert quant data to statistical package and to perform descriptive and inferential analysis
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
- Generate new research ideas
- Appreciate diversity and multiculturality
- Demonstrate social, professional and ethical commitment and sensitivity to gender issues
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
The course aims to introduce students to the analysis of data collected by questionnaire. In particular, the aim is to familiarize students with the SPSS statistical package and to carry out descriptive and inferential analysis. Emphasis will be placed on learning the types of variables, univariate analysis using charts, sampling in quantitative research, the usefulness of normal distribution, and bivariate analyses by using hypothesis testing.
Translated with DeepL.com (free version)
Keywords
quant analysis, descriptive stats, inferential stats
Educational Material Types
- Notes
- Slide presentations
- Video lectures
- 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
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 70 | 2.3 | |||
| Laboratory Work | 30 | 1 | |||
| Reading Assigment | 20 | 0.7 | |||
| Tutorial | 20 | 0.7 | |||
| Written assigments | 10 | 0.3 | |||
| Total | 150 | 5 |
Student Assessment
Description
students evaluation will be through writen assignment
Student Assessment methods
- Written Assignment (Summative)
- Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
de Vauss, D. (2011), Ανάλυση Κοινωνικών Δεδομένων, Αθήνα, Πεδίο
Last Update
27-03-2024
