1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
  3. ECONOMETRICS DEPARTMENT
  4. 211 ECONOMETRICS
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 423DATA ANALYSIS FOR SOCIAL SCIENTISTS3 + 05th Semester5

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
1Performs 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
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms12323
Final examination12323
Total Work Load

ECTS Credit of the Course





130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall1FERDA ESİN GÜLEL
Details 2019-2020 Fall1FERDA 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 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. FERDA ESİN GÜLEL fegulel@pau.edu.tr İİBF C0102 %70
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
WeeksTopics
1 Introduction
2 Data Importing
3 Frequency distribution, Bar chart, Pie chart
4 Descriptive Statistics
5 Descriptive Statistics by Categorical Variable
6 Cross Table
7 Interpretations of Some Articles
8 Midterm Exam
9 One-Sample Mean Test
10 Two-Sample Mean Test
11 Nonparametric Tests
12 ANOVA and PostHoc Tests
13 ANOVA and PostHoc Tests (Nonparametric)
14 Chi-Square Test and Interpretations of Some Articles
Materials
Materials are not specified.
Resources
ResourcesResources Language
Bilimsel Araştırmalarda SPSS ile İstatistik, Selahattin Güriş, Melek AstarTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes