Pamukkale University
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FIRST CYCLE - BACHELOR'S DEGREE
FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
POLITICAL SCIENCE AND PUBLIC ADMINISTRATION DEPARTMENT
205 PUBLIC ADMINISTRATION
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
EKNM 423
DATA ANALYSIS FOR SOCIAL SCIENTISTS
3 + 0
7th Semester
5
COURSE DESCRIPTION
Course Level
Bachelor's Degree
Course Type
Elective
Course Objective
The aim of the course is to investigate real life problems trough statistical methods and to enable you to perform useful analyses on your data with a statistical software. This course will focus on the key elements necessary for you to answer hypothetical questions from your data, especially in social surveys.
Course Content
In this course, statistical data types, scales and properties, coding and preparing the data matrix, hypotheses building, summary of descriptive and inductive measures, multivariate analysis methods with their assumptions will be taught and interpretations will be discussed
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
Performs data entry, editing and analysis in statistical package program.
COURSE'S CONTRIBUTION TO PROGRAM
Data not found.
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Hours for off-the-classroom study (Pre-study, practice)
14
1
14
Mid-terms
1
26
26
Final examination
1
48
48
Total Work Load
ECTS Credit of the Course
130
5
COURSE DETAILS
Select Year
All Years
2019-2020 Fall
Course Term
No
Instructors
Details
2019-2020 Fall
1
FERDA ESİN GÜLEL
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Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
EKNM 423
DATA ANALYSIS FOR SOCIAL SCIENTISTS
3 + 0
1
Turkish
2019-2020 Fall
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Assoc. Prof. Dr. FERDA ESİN GÜLEL
fegulel@pau.edu.tr
İİBF B0214
%
Goals
The aim of the course is to investigate real life problems trough statistical methods and to enable you to perform useful analyses on your data with a statistical software. This course will focus on the key elements necessary for you to answer hypothetical questions from your data, especially in social surveys.
Content
In this course, statistical data types, scales and properties, coding and preparing the data matrix, hypotheses building, summary of descriptive and inductive measures, multivariate analysis methods with their assumptions will be taught and interpretations will be discussed
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
60
Final Exam
Midterm Exam
40
Midterm Exam
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes