Quantitative Methods of Analysis in the Social Sciences

Course Information
TitleΠοσοτικές Μέθοδοι Ανάλυσης στις Κοινωνικές Επιστήμες / Quantitative Methods of Analysis in the Social Sciences
FacultySocial and Economic Sciences
SchoolPolitical Sciences
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorGeorgia Panagiotidou
Course ID100001057

Programme of Study: PPS Tmīma Politikṓn Epistīmṓn 2023-sīmera

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course425

Class Information
Academic Year2018 – 2019
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours3
Class ID
Course Type 2016-2020
  • Background
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
to organize a survey to participate in a survey to record data to process and analyze data present results
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
Course Content (Syllabus)
This course follows upon that of Statistics for the Social Sciences and is divided into two parts. In the first (without mathematical details), the course focuses on advanced multivariate techniques dealing mainly with the concepts, interpretation and requirements of the techniques discussed: clustering, correspondence analysis and factor analysis. It includes an introduction to the aforementioned methods, guidelines for their usage, and comparative assessments. Special emphasis is laid on the prerequisites of their application, on their relative credibility, and on their respective appropriateness to available data. The second part deals with sampling techniques, organization and realization of a survey. Students are obliged to take part in the steps of an explanatory survey.
Quantitative methods
Educational Material Types
  • Slide presentations
  • 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
Course Organization
Laboratory Work140.5
Written assigments140.5
Student Assessment
Evaluation is based on written essays. Specific information is available in course web-site.
Student Assessment methods
  • Written Assignment (Summative)
  • Oral Exams (Summative)
  • Report (Summative)
  • Labortatory Assignment (Summative)
Course Bibliography (Eudoxus)
Ανάλυση πολυμεταβλητών δεδομένων για κοινωνικές επιστήμες Κωδικός Βιβλίου στον Εύδοξο: 14889 Έκδοση: 1η έκδ./2007 Συγγραφείς: Bartholomew David J.,Steele Fiona,Μουστάκη Ειρήνη,Galbraith Jane I. ISBN: 978-960-6647-94-9 Τύπος: Σύγγραμμα Διαθέτης (Εκδότης): Εκδόσεις Επίκεντρο Α.Ε. Η ανάλυση δεδομένων Κωδικός Βιβλίου στον Εύδοξο: 31439 Έκδοση: 1η έκδ./2007 Συγγραφείς: Παπαδημητρίου Γιάννης ISBN: 978-960-402-288-5 Τύπος: Σύγγραμμα Διαθέτης (Εκδότης): Γ. ΔΑΡΔΑΝΟΣ - Κ. ΔΑΡΔΑΝΟΣ Ο.Ε.
Additional bibliography for study
Κ. Μπαγιάτης, Χ. Μωϋσιάδης, Ν. Τσάντας, Θ. Χατζηπαντελής, H ανάλυση δεδοµένων µε τη χρήση στατιστικών πακέτων, Ζήτη, 2005. Norusis, Οδηγός ανάλυσης δεδοµένων µε το SPSS, Κλειδάριθµος, 2005. ∆. Καραπιστόλης, Ανάλυση δεδοµένων και έρευνα αγοράς, Ανικούλας, 2001. C. Javeau, Η έρευνα µε ερωτηµατολόγιο, Tυπωθήτω-Γιώργος ∆αρδανός, 1996.
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