RESEARCH METHODOLOGY AND APPLIED STATISTICS
| Title | ΜΕΘΟΔΟΙ ΕΡΕΥΝΑΣ ΚΑΙ ΕΦΑΡΜΟΣΜΕΝΗ ΣΤΑΤΙΣΤΙΚΗ / RESEARCH METHODOLOGY AND APPLIED STATISTICS |
| Code | ΚΑΕ12 |
| Faculty | Physical Education and Sport Science |
| School | Physical Education and Sports Sciences (Thessaloniki) |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Evdoxia Kosmidou |
| Common | No |
| Status | Active |
| Course ID | 600020627 |
Programme of Study: PMS ANTHRŌPINĪ APODOSĪ (2021-sīmera)
Registered students: 12
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| ASKĪSĪ GIA PROLĪPSĪ KAI APOKATASTASĪ | Elective Course belonging to the selected specialization (Elective Specialization Course) | Spring | - | 10 |
| Academic Year | 2024 – 2025 |
| Class Period | Spring |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600271799
|
Course Type 2021
General Knowledge
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600271799
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
- French (Instruction, Examination)
- Italian (Instruction, Examination)
Prerequisites
General Prerequisites
The corresponding course(s) of the undergraduate programme
Learning Outcomes
Be able to handle the spss statistical package
Understand the statistical concepts of inferential statistics
Be able to respond to hypotheses arising from data models that are amenable to simple tests and analyses of variance
Design a quantitative survey Know what to do to check the reliability and validity of a measurement instrument
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
- Work in teams
- Work in an international context
- Work in an interdisciplinary team
- Generate new research ideas
- Design and manage projects
Course Content (Syllabus)
Introduction to Statistics
Introduction to statistical software
Descriptive statistics- normality
Descriptive statistics-applications
Inferential statistics - introduction to the concepts of inferential statistics
Inferential statistics - hypothesis testing for population averages
Inferential statistics - analysis of variance
Frequency control Stages of quantitative research
Experimental research designs Questionnaires - measurement scales
Reliability and validity
Case study in quantitative methodology
Keywords
Statistic, Inference statistics, Reliability and Validity
Educational Material Types
- 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
Description
It requires the learning of a statistical package, the application of examples with the statistical package, the attendance of lectures and participation in their evaluation through e-learning
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 33 | ||||
| Reading Assigment | 100 | ||||
| Interactive Teaching in Information Center | 30 | ||||
| Project | 20 | ||||
| Written assigments | 25 | ||||
| Exams | 42 | ||||
| Total | 250 |
Student Assessment
Description
Test 10%
Assignment 1 10%
Assignement 2 20%
Final exams 60%
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Διαδίκτυο
Additional bibliography for study
Internet
Last Update
22-01-2024
