Quantitative Data Analysis
| Title | Ανάλυση Ποσοτικών Δεδομένων / Quantitative Data Analysis |
| Code | AMM1500 |
| Faculty | Social and Economic Sciences |
| School | Journalism and Mass Communications |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Coordinator | Evanthia Malinaki |
| Common | Yes |
| Status | Active |
| Course ID | 600020528 |
Programme of Study: ANPPS Tmīmatos Dīmosiografías kai M.M.E. (2020-2021)
Registered students: 3
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| ''DĪMOSIOGRAFIAS'' | Elective Courses belonging to the other | Winter/Spring | - | 5 |
| ''MESŌN EPIKOINŌNIAS'' | Elective Course belonging to the selected specialization (Elective Specialization Course) | Winter/Spring | - | 5 |
| Academic Year | 2024 – 2025 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600268527
|
Course Type 2021
Skills Development
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/1/600268527
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=7902
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course, students will be able to:
1. To possess the basic knowledge and skills of statistical analysis of quantitative data
2. To design a database of data input, create and import survey data
3. Be able to conduct statistical analysis of data using software provided by AUTh.
4. To be aware of and be able to check the assumptions of each analysis
5. To understand when and how some of the most common statistical tests can be used
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Generate new research ideas
- Design and manage projects
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Scales of measurement, File development for data entry, Frequency tables, Central tendency measures, Dispersion measures, Selecting the appropriate graph for presenting the data, Normal distribution, Standard normal distribution, Sampling distribution of the mean, Hypothesis testing, one-sample t-test, inddependent samples t-test, correlation analysis.
Keywords
statistical analysis, psychometrics, social research, quantitative methods
Educational Material Types
- Slide presentations
- Podcast
- Multimedia
- 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 |
|---|---|---|---|---|---|
| Laboratory Work | 39 | ✓ | |||
| Reading Assigment | 26 | ✓ | |||
| Project | 20 | ✓ | |||
| Written assigments | 20 | ✓ | |||
| Exams | 20 | ✓ | |||
| Total | 125 |
Student Assessment
Student Assessment methods
- Written Exam with Short Answer Questions (Formative)
- Written Exam with Problem Solving (Summative)
- Report (Summative)
- Labortatory Assignment (Formative)
Bibliography
Course Bibliography (Eudoxus)
Ρούσσος, Π. Λ., & Τσαούσης, Γ. (2020). Στατιστική εφαρμοσμένη στις κοινωνικές επιστήμες με τη xρήση του SPSS και του R. Εκδόσεις Gutenberg. https://service.eudoxus.gr/search/#a/id:94644750/0
Additional bibliography for study
Χαλικιάς, Μ., Μανωλέσσου, Α., & Λάλου, Π. (2015). Μεθοδολογία έρευνας και εισαγωγή στη στατιστική ανάλυση δεδομένων με το IBM SPSS STATISTICS. Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. https://repository.kallipos.gr/handle/11419/5075
Last Update
02-01-2024
