• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS SOS 4071 DATA PROCESSING AND ANALYSIS ELECTIVE 3 0 0 5

Offered By

Sociology

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR AYKUT ÇALIŞKAN

Offered to

Sociology Sociology (Evening)

Course Objective

By following the research procedures, it is aimed to provide students with knowledge and skills in terms of doing research in accordance with the quantitative research methods in terms of action. In this context; Information will be provided on data entry, data extraction and manipulation processes, basic statistical analysis and reporting, and quantitative research processes by making use of software support.

Learning Outcomes of the Course Unit

1   Data Processing Process 2   Data Editing 3   Statistical Analysis 4   Reporting 5   Using Statistical Software

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Scientific Research 2 Determining a Research Question 3 Hypothesis Development 4 Data Collection Tools 5 Preparing a Questionnaire 6 Sampling 7 Data Processing 8 Data Editing 9 Chi-Square Test 10 t Test 11 Variance Analysis 12 Regression Analysis 13 Factor Analysis 14 Reliability Analysis

Recomended or Required Reading

Pallant, Julie (2014) SPSS Kullanma Kılavuzu, Ankara: Anı Yayıncılık.

Planned Learning Activities and Teaching Methods

By providing software support in the laboratory, the presentation of the course will be made to students through sample applications.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + FIN * 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

aykut.caliskan@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 4 56 Preparation for midterm exam 1 5 5 Preparation for final exam 1 10 10 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 115

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 LO.1 4 LO.2 4 LO.3 4 4 LO.4 4 LO.5 4