Information
Code | IEM740 |
Name | Multivariate Statistical Analysis Methods |
Term | 2023-2024 Academic Year |
Semester | . Semester |
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 Goal / Objective
The aim of this course is to enable the students to build the data matrix for multivariate analysis, to choose the most suitable method for the data, and to apply of the proper technique once the assumptions are verified.
Course Content
The course content covers the building of multivariate data which includes understanding, preparing and transforming the data, comparing the methods related to dimension reduction and classification, assumptions and applications of multivariate techniques.
Course Precondition
None
Resources
Sosyal Bilimlerde SPSS Uygulamalı Çok değişkenli istatistiksel analiz teknikleri, Sevda Gürsakal, Dora yayıncılık
Notes
SPSS Uygulamalı Çok değişkenli istatistik teknikleri, 6. baskı, Nadir Kitap, Editör: Prof. Dr. Şeref Kalaycı
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 |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Explains contemporary concepts about Econometrics, Statistics, and Operation Research | 3 |
PLO02 | Bilgi - Kuramsal, Olgusal | Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research | 4 |
PLO03 | Bilgi - Kuramsal, Olgusal | Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences | 2 |
PLO04 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 4 |
PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 4 |
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 that does not 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 | 5 |
PLO11 | Beceriler - Bilişsel, Uygulamalı | Collects/analyzes data in a purposeful way | 3 |
PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | 3 |
PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops solutions for organizations using Econometrics, Statistics, and Operation Research | 1 |
PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | 3 |
PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
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 | |
PLO17 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code | 4 |
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 | 5 |
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 |
2 | Building data matrix for multivariate analysis and the descriptive statistics | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım |
3 | Multivariate graphics, standardization and multivariate normal distribution | Reading related chapter from the reference book | Öğretim Yöntemleri: Anlatım |
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 |
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 |