Introduction to SPSS with Application to the Social Sciences

Course Information
TitleΕΙΣΑΓΩΓΗ ΣΤΗ ΧΡΗΣΗ ΤΩΝ Η/Υ ΜΕ ΕΦΑΡ/ΓΕΣ ΣΤΙΣ ΚΟΙΝ/ΚΕΣ ΕΠΙΣΤΗΜΕΣ / Introduction to SPSS with Application to the Social Sciences
CodeΠ1902
FacultyPhilosophy
SchoolPhilosophy and Education
Cycle / Level1st / Undergraduate
Teaching PeriodWinter/Spring
CoordinatorDimitrios Stamovlasis
CommonYes
StatusActive
Course ID280009251

Programme of Study: UPS School of Philosophy and Education (2011-today)

Registered students: 68
OrientationAttendance TypeSemesterYearECTS
CoreCompulsory courses beloging to the selected specialisationWinter/Spring-6
PedagogicCompulsory courses beloging to the selected specialisationWinter/Spring-6

Class Information
Academic Year2016 – 2017
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours3
Total Hours39
Class ID
600056765
Type of the Course
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Examination)
Learning Outcomes
Gain knowledge and skills to analyse social science research data.
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
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Τhe course is an introduction to analysis of social research data by mean of computer software. It focuses on the basic procedures of ΙΒΜ/ SPSS, special software for social science. During instructions data from Educational Research are analyzed with the aim, first the acquisition of operational skills and second the basic understanding of the resulting computer outputs, which are important for the interpretation of research results. Upon completion of this course students should be familiar with above software and have small experience in performing data analysis. Practice is achieved through small projects that are completed in each meeting. Attendance is mandatory and the grading includes a midterm and a final exam.
Keywords
analysis of social research data, sofware ΙΒΜ/ SPSS,
Educational Material Types
  • Notes
  • Slide presentations
  • 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
Description
power point, e-mails, Opencourse system
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures200.8
Laboratory Work803.2
Exams200.8
Total1204.8
Student Assessment
Description
knowledge and skills to analyse social science research data with SPSS.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Oral Exams (Formative)
  • Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Σταμοβλάσης, Δ. (2016). Μεθοδολογίας Εκπαιδευτικής Έρευνας με Στοιχεία Στατιστικής. Θεσσαλονίκη:Εκδόσεις Ζυγός (Εύδοξος 59377804)
Additional bibliography for study
ΜARIJA J. ΝORUSIS (2005).ΟΔΗΓΟΣ ΑΝΑΛΥΣΗΣ ΔΕΔΟΜΕΝΩΝ ΜΕ ΤΟ IBM SPSS 19. ΑΘΗΝΑ: ΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ - Κωδ. Εύδοξος 12534708
Last Update
04-07-2017