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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS SOS 4049 DATA PROCESSING AND ANALYSIS ELECTIVE 3 0 0 4

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   To be able to carry out the data processing proce 2   Ability to edit data 3   Making statistical analyzes 4   Ability to report 5   Ability to use 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 Midterm 9 Data Editing 1 10 Data Editing 2 11 Chi-Square Test 12 t Test 13 Variance Analysis 14 Regression Analysis 15 Factor Analysis 16 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 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

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 7 7 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 112

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 5 5 LO.2 4 4 4 3 4 LO.3 3 5 3 LO.4 3 4 LO.5 3 5