Information
Unit | INSTITUTE OF SOCIAL SCIENCES |
ECONOMETRICS (MASTER) (WITH THESIS) | |
Code | IEM740 |
Name | Multivariate Statistical Analysis Methods |
Term | 2024-2025 Academic Year |
Term | Fall and Spring |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Yüksek Lisans Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Prof. Dr. EBRU ÖZGÜR GÜLER |
Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
It aims to provide the student with the ability to distinguish the appropriate method for the multivariate data matrix and apply analyzes after testing the assumptions about the method.
Course Content
Following the annotation, organization, and transformation of multivariate data, the assembly of the data matrix is examined. After the appropriate data matrix is created, different methods for dimension reduction and classification are compared, the suitability of the assumptions regarding the methods is evaluated and their applications are included.
Course Precondition
None
Resources
Kalaycı, Ş. (Ed.). (2014). SPSS uygulamalı çok değişkenli istatistik teknikleri (6th ed.). Nadir Kitap.
Notes
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Explains multivariate data |
LO02 | Differentiate dimension reduction techniques |
LO03 | Align classification methods |
LO04 | Discriminates the most proper analysis technique for the data considered |
LO05 | Uses a software package to do analysis for each technique and interprets obtained results |
LO06 | Comments articles on dimension reduction methods |
LO07 | Comments articles on size classification methods |
LO08 | Distinguishes the relationship coefficients appropriate to the measurement levels. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Explains contemporary concepts about Econometrics, Statistics, and Operation Research | |
PLO02 | Bilgi - Kuramsal, Olgusal | Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research | |
PLO03 | Bilgi - Kuramsal, Olgusal | Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences | |
PLO04 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 4 |
PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 3 |
PLO06 | Beceriler - Bilişsel, Uygulamalı | Interprets the results obtained from the most appropriate method to predict the model | 5 |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research | 4 |
PLO08 | Beceriler - Bilişsel, Uygulamalı | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | |
PLO09 | Beceriler - Bilişsel, Uygulamalı | Searches for new approaches and methods to solve problems being faced | 3 |
PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | 4 |
PLO11 | Beceriler - Bilişsel, Uygulamalı | Collects/analyzes data in a purposeful way | 5 |
PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | |
PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops solutions for organizations using Econometrics, Statistics, and Operation Research | 4 |
PLO14 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | 5 |
PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | 4 |
PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
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 | |
PLO18 | 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 | |
PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues | 4 |
PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Motivation: A Review of references and introductory matrix algebra | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
2 | Building data matrix for multivariate analysis and the descriptive statistics | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Tartışma |
3 | Multivariate graphics, standardization and multivariate normal distribution | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
4 | Examination of outliers and missing data in multivariate analysis, distance and similiarity measures | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
5 | Multivariate hypothesis tests | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
6 | Dimension Reduction: Factor analysis and its assumptions | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
7 | Dimension Reduction (cont): Factor analysis and its assumptions | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
8 | Mid-Term Exam | General review | Ölçme Yöntemleri: Performans Değerlendirmesi |
9 | Classification: Clustering analysis and its assumptions | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
10 | Classification (cont): Clustering analysis and its assumptions | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
11 | Classification: Assumptions of discriminant analysis | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
12 | Classification (cont): Applications of discriminant analysis | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
13 | Classification: Assumptions of logistic regression | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
14 | Classification (cont): Applications of logistic regression | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
15 | General review and computer applications | Reading related chapter from the reference book | Öğretim Yöntemleri: Deney / Laboratuvar |
16 | Term Exams | General review | Ölçme Yöntemleri: Proje / Tasarım |
17 | Term Exams | General review | Ölçme Yöntemleri: Proje / Tasarım |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
Final Exam | 1 | 30 | 30 |
Total Workload (Hour) | 157 | ||
Total Workload / 25 (h) | 6,28 | ||
ECTS | 6 ECTS |