Quantitative Data Analysis

Course Information
TitleΑνάλυση Ποσοτικών Δεδομένων / Quantitative Data Analysis
CodeMM4100
FacultyEconomic and Political Sciences
SchoolJournalism and Mass Communications
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorNikolaos Tsingilis
CommonYes
StatusActive
Course ID140000423

Programme of Study: UPS School of Journalism and Mass Communications (2010-today)

Registered students: 27
OrientationAttendance TypeSemesterYearECTS
Mass CommunicationsElective Course belonging to the selected specialization (Elective Specialization Course)Winter-5
JournalismElective Courses belonging to the otherWinter-5

Class Information
Academic Year2019 – 2020
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Total Hours39
Class ID
600147839
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
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.
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
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Laboratory Work391.6
Reading Assigment261.0
Project200.8
Written assigments200.8
Exams200.8
Total1255
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. (2011) - Στατιστική στις επιστήμες της συμπεριφοράς με τη χρήση του SPSS. Αθήνα: Μοτίβο Εκδοτική
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.
Last Update
07-10-2019