COURSE UNIT TITLE

: STATISTICS PROGRAMS FOR SOCIAL SCIENTISTS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
SOS 3012 STATISTICS PROGRAMS FOR SOCIAL SCIENTISTS COMPULSORY 3 0 0 6

Offered By

Sociology

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR YILDIZ AKPOLAT

Offered to

Sociology (Evening)
Sociology

Course Objective

Recognizing the importance of measurement in social sciences. Using bsic statistical techniques in data analysis.

Learning Outcomes of the Course Unit

1   Learn to think critically and evaluate evidence rationally
2   Communicate the results of their research effectively
3   Ability to analyze socio-economic variables
4   Applying statistical knowledge in decision-making

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Why measure
2 Measurement and research design
3 Reliability and validity
4 Levels of measurement
5 Basic statistical concepts
6 Parametric analysis techniques
7 T-test
8 Independent group t-test
9 Ara sınav
10 Paired group t-test
11 ANOVA
12 Nonparametric analysis techniques

Recomended or Required Reading

1) Sosyal Bilimler için Veri Analizi El Kitabı, Şener Büyüköztürk
2) Sosyal Bilimler için Istatistik, Şener Büyüköztürk, Ömay Çokluk Bökeoğlu, Nilgün Köklü
3) Sosyal Billimlerde Araştırma Yöntemleri, R. Altunışık, R. Çoşkun, S. Bayraktraoğlu, E. Yıldırım

Planned Learning Activities and Teaching Methods

face to face

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

exams

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 16 3 48
Preparations before/after weekly lectures 16 5 80
Midterm 1 12 12
Final 1 15 15
TOTAL WORKLOAD (hours) 155

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.14
LO.24
LO.34
LO.44