Basic Information

Course Code:

POLS 258

Course Name:

Quantitative Data Analysis

Language of Instruction:

English

Course Type:

Class

Course Level:

Bachelor

ECTS:

6.00

Instructor:

Prof. Dr. Işıl Cerem CENKER ÖZEK

Course Objectives

Students acquire skills in this course that help them to conduct quantitative analysis. The course presents studies to students which utilize this type of analysis. The students are encouraged to conduct their own analysis.

Course Content

This course presents students the basic skills in quantitative analysis. Students learns how to use STATA program and utilize it in their analysis.  At the end of the course students know how to conduct analysis with STATA at intermediate level.

Course Books / Materials / Recommended Resources

Chambliss, D. F. and Schutt, R. K. (2016). Making Sense of the Social World: Methods of Investigation (5th ed.). California: Sage Publications.Babbie, E. (2014). The Basics of Social Research( 6th edition). Wadsworth, Cengage Learning.Philip H. Pollock III (2012) The Essentials of Political Analysis, Sage Publications.Morris, Clare (2012). Quantitative approaches in business studies. Pearson.Neuman, Lawrence W. (2014) Social Research Methods: Qualitative and Quantitative Approaches, Pearson.

Learning Outcomes

Code	Description
LO1	To explain the basics of the quantitative analysis
LO2	To acquiare skills necessary to read and to interpret studies conducted via quantitative methods
LO3	To conduct quantitative analysis

Weekly Course Content

Week	Content
1	Introduction
2	Discussion on scientific method and social science
3	Ethics in social sciences
4	Basic research concepts
5	Descriptive statistics: figures, tables and distributions
6	Descriptive statistics: mode, median and mean
7	Betimleyici istatistik: variance and standard deviation
8	Midterm
9	Logic of inference I
10	Logic of inference II
11	Hypothesis testing
12	Chi-square test
13	Correlation and regression I
14	Correlation and regression II
15	Course overview

Workload Calculation

Activity	Count	Duration (Hours)	Total
Attendance	15	3.00	45.00
Practice	8	2.00	16.00
Post-Prectice Individual Study	14	3.00	42.00
Midterm Exam/Preparation	8	4.00	32.00
Final Exam/Preparation	8	4.00	32.00
Quiz Preparation	4	2.00	8.00
Total Workload (Hours)			175
ECTS Credit (Workload / 25)			6

Assessment

#	Assessment Type	Contribution (%)
1	Midterm Exam	%30
2	Quiz	%20
3	Attendance	%10
4	Final Exam	%40
TOTAL		%100

PO - LO Matrix

PO \ LO	LO1	LO2	LO3
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7

1

Low Contribution

2

Medium Contribution

3

High Contribution

Teaching and Learning Methods

#	Method Name	Description	Tools
1	Lecture (expository teaching), interactive discussion	Listening and taking notes.	Standard classroom technologies, multimedia tools (projector, computer, digital presentations)
2	Controversial Course	Listening and comprehension, critical thinking	Standard classroom technologies, multimedia tools, projector, computer, overhead projector
3	Problem Solving	* Analyzing physical and physiological problems using problem-solving techniques and developing appropriate solutions.
4	Demonstration	Listening and comprehension, processing observations/situations	Presentation content
5	Laboratory	Listening, note-taking, conceptual analysis, critical thinking, questioning, and participation in discussions.	Special equipment

Academic Integrity and Artificial Intelligence

Violations of scholastic honesty include, but are not limited to cheating, plagiarizing, fabricating information or citations, facilitating acts of dishonesty by others, having unauthorized possession of examinations, submitting work of another person or work previously used without informing the instructor, or tampering with the academic work of other students. Any form of scholastic dishonesty is a serious academic violation and will result in a disciplinary action.

Sustainable Development Goals