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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| ECONOMETRICS (PhD) | |
| Code | IEM1816 |
| Name | Statistical Analysis II |
| Term | 2024-2025 Academic Year |
| Term | Fall and Spring |
| 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 Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
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
Aytaç, M. (1999). Matematiksel istatistik. Ezgi Yayınları.
Notes
Aytaç, M. (1999). Matematiksel istatistik. Ezgi Yayınları.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Defines advanced statistical techniques used in quantitative data analysis. |
| LO02 | Explain the hypothesis in quantitative research. |
| LO03 | Decides hypotheses with advanced statistical techniques. |
| LO04 | Interprets the results. |
| LO05 | Analyzes relationships in the data set using regression analysis. |
| LO06 | Defines and applies the logistic regression model. |
| LO07 | Apply analysis of variance to different data sets and interpret the results. |
| LO08 | Evaluates the relationships between variables using the multivariate analysis of variance method. |
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 of 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 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | 3 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem | 2 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads the team by taking responsibility | 3 |
| PLO17 | 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 |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | |
| 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 | Reading | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Repetition of the correlation analysis, Regression Analysis | Reading | Öğretim Yöntemleri: Anlatım |
| 3 | Regression Analysis | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 4 | Logistic Regression | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Soru-Cevap |
| 5 | Regression Application | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 6 | Variance Analysis : Co-Variance Analysis (ANCOVA) | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 7 | Variance Analysis : Factorial ANOVA | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap |
| 8 | Mid-Term Exam | Preparing for the midterm exam | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Variance Analysis : Repeated Measures, Variance Analysis | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 10 | Variance Analysis : Mixed Designs, Variance Analysis | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 11 | Multivariate Variance analysis | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 12 | Variance Analysis : Application | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 13 | Exploratory Factor Analysis : Factor Analysis | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Soru-Cevap |
| 14 | Exploratory Factor Analysis : Application | Reading | Öğretim Yöntemleri: Anlatım |
| 15 | Homework presentation | Preparation for presentation | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 16 | Term Exams | Final exam preparation | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Final exam preparation | 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 | ||