POLITICAL SCIENCE AND INTERNATIONAL RELATIONS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
POL2348 Social Statistics Spring 3 0 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Must Course
Course Level: Bachelor
Mode of Delivery: Hybrid
Course Coordinator : Assoc. Prof. ESRA ALBAYRAKOĞLU
Course Objectives: To apply the statistical methods in social sciences and interpret the results.

Learning Outputs

The students who have succeeded in this course;
Students who complete this course will learn:
1) Recognition of the basic concepts of statistics in the social sciences
2) The Uses of SPSS
3) Creating hypothesis and testing hypothesis
4) Correlation
5) The analysis of variance
6) Chi-square test
7) Regression Analysis

Course Content

Learning statistical methods used in social sciences and interpretation of statistical data.
Frequency Distribution, probability, standard normal distribution, correlation, simple linear regression, hypothesis testing, hypothesis testing, t-test, analysis of variance, Chi-square test, ANOVA

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Course Overview
2) Basic concepts of statistics-Using Graphs and Tables to Describe Data
3) Using Numerical Measures to Describe Data
4) Numerical Measures and Z-score
5) Analyzing and Summarizing Data with SPSS
6) Probability Methods, exercise: probability games, online exercises
7) Probability Distributions, online exercises
8) Probability Distributions, exercise: blackjack game
9) Sampling and Sampling Distribution, online exercises
10) JASP and Excel application: Descriptives and Graphs
11) Confidence Interval Estimation and Hypothesis Testing
12) Experimental Design and Analysis of Variance
13) The Chi-Square test of independence
14) JASP and Excel application: T-test, Anova and Chi_square analysis

Sources

Course Notes: Bryman, A., & Cramer, D. (2011). Quantitative data analysis with IBM SPSS 17, 18 and 19: A guide for social scientists. Routledge-Cavendish/Taylor & Francis Group. For theoretical part Newbold, P., Carlson, W.L., Thorne, B., (2013), Statistics For Business and Economics, 8th Edition. Pearson. (NCT)
References: Anderson, Sweeney, Williams, Freeman, Shoesmith (2014), Statistics for Business and Economics, 2nd or 3rd Edition, South-Western Cengage Learning

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 0 % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes 3 % 10
Homework Assignments 0 % 0
Presentation 1 % 10
Project 0 % 0
Seminar % 0
Midterms 2 % 40
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 42
Laboratory
Application 3 15
Special Course Internship (Work Placement)
Field Work
Study Hours Out of Class 14 69
Presentations / Seminar 1 10
Project
Homework Assignments
Quizzes 3 10
Preliminary Jury
Midterms 2 2
Paper Submission
Jury
Final 1 2
Total Workload 150

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Grasp basic theoretical and conceptual knowledge about the field and relations between them at the level of practice. 3
2) Possess basic knowledge about the causes and effects of political transformations in societies. 3
3) Possess knowledge about quantitative, qualitative and mixed research methods in social and behavioral sciences. 2
4) Recognize historical patterns while evaluating contemporary political and social developments. 5
5) Demonstrate interdisciplinary and critical approach while analyzing, synthesizing and forecasting domestic and foreign policy. 5
6) Conduct studies in the field professionally, both independently or as a team member. 3
7) Possess consciousness about lifelong learning based on Research & Development. 3
8) Communicate with peers both orally and in writing, by using a foreign language at least at a level of European Language Portfolio B1 General Level and the necessary informatics and communication technologies. 4
9) Apply field-related knowledge and competences into career advancement, projects for sustainable development goals, and social responsibility initiatives. 4
10) Possess the habit to monitor domestic and foreign policy agenda as well as international developments. 4
11) Possess competence to interpret the new political actors, theories and concepts in a global era.
12) Evaluate the legal and ethical implications of advanced technologies on politics.