IEM1816 Statistical Analysis II

8 ECTS - 4-0 Duration (T+A)- . Semester- 4 National Credit

Information

Code IEM1816
Name Statistical Analysis II
Semester . Semester
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 8 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜLSEN KIRAL


Course Goal

The purpose of this course is to teach to students that statistical techniques for quantitative data analysis and their practices.

Course Content

This lesson covers regression analysis, logistic regression, analysis of variance, multivariate analysis of variance, and exploratory factor analysis.

Course Precondition

There are no prerequisites.

Resources

Matematiksel İstatistik, Mustafa Aytaç, Ezgi Yayınları, Ankara Üniv. Yayını,1999

Notes

Source books, statistical packages


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Defines advanced statistical techniques used in quantitative data analysis.
LO02 Evaluates advanced statistical techniques used in quantitative data analysis.
LO03 Explain the hypothesis in quantitative research.
LO04 Decides hypotheses with advanced statistical techniques.
LO05 Interprets the results.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Identify an econometric problem and propose a new solution to it 2
PLO02 Bilgi - Kuramsal, Olgusal Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research 2
PLO03 Bilgi - Kuramsal, Olgusal Explain for what purpose and how econometric methods are applied to other fields and disciplines
PLO04 Beceriler - Bilişsel, Uygulamalı Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences 2
PLO05 Beceriler - Bilişsel, Uygulamalı Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered 3
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 3
PLO07 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 3
PLO08 Beceriler - Bilişsel, Uygulamalı Collects data on purpose 4
PLO09 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 4
PLO11 Beceriler - Bilişsel, Uygulamalı Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 1
PLO12 Beceriler - Bilişsel, Uygulamalı It researches current approaches and methods to solve the problems it encounters and proposes new solutions 3
PLO13 Beceriler - Bilişsel, Uygulamalı Develops long-term plans and strategies using econometric and statistical methods 2
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem 2
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads the team by taking responsibility 3
PLO16 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study 3
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code 3
PLO19 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form 2
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values 3
PLO21 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues 3


Week Plan

Week Topic Preparation Methods
1 Review Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım
2 Repetition of the correlation analysis, Regression Analysis Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Regression Analysis Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Logistic Regression Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Regression Application Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Variance Analysis : Co-Variance Analysis (ANCOVA) Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Variance Analysis : Factorial ANOVA Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Examining the relevant chapter in the book Ölçme Yöntemleri:
Yazılı Sınav
9 Variance Analysis : Repeated Measures, Variance Analysis Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Variance Analysis : Mixed Designs, Variance Analysis Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Multivariate Variance analysis Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Variance Analysis : Application Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Exploratory Factor Analysis : Factor Analysis Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Exploratory Factor Analysis : Application Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Homework presentation Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Term Exams Examining the relevant chapter in the book Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Examining the relevant chapter in the book Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 8 112
Assesment Related Works
Homeworks, Projects, Others 2 4 8
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 24 24
Total Workload (Hour) 212
Total Workload / 25 (h) 8,48
ECTS 8 ECTS