Information
Code | IEM1810 |
Name | Multivariable Statistical Analysis II |
Term | 2023-2024 Academic Year |
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. EBRU ÖZGÜR GÜLER |
Course Goal / Objective
The aim of thiscourse isto bring the knowledge of multivariate analysis with theoretical perspective and application with SPSS / AMOS for analyzed, interpreted.
Course Content
The course content covers the introducing of multivariate data matrix and some multivariate techniques which are conjoiny analysis, logistic regression, multidimensional scaling, correspondance analysis and structural equations modeling
Course Precondition
None
Resources
Applied Multivariate Statistical Analysis, R.A. Johnson and D.W. Wichern, Pearson
Notes
Scientific articles that can be found online
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Explains assumptions about methods based on dependency structure |
LO02 | Knows analysis using dependence techniques |
LO03 | Knows analysis using interdependence techniques |
LO04 | Explains assumptions about methods based on interdependence structure |
LO05 | Explain structural equations modeling and explains their assumptions and areas of usage |
LO06 | Uses SPSS and AMOS package program to analyze each technique |
LO07 | Appropriately interprets findings of analysis |
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 | 3 |
PLO04 | Beceriler - Bilişsel, Uygulamalı | Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences | 4 |
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 | 5 |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 5 |
PLO08 | Beceriler - Bilişsel, Uygulamalı | Collects data on purpose | 3 |
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 | 5 |
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 | |
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 | 3 |
PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem | 4 |
PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads the team by taking responsibility | 4 |
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 | 4 |
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 | |
PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values | |
PLO21 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues | 4 |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Motivation: A Review of referencesand introductory matrix algebra | No more preparations required | Öğretim Yöntemleri: Anlatım |
2 | Building data matrix for multivariate analysis and the descriptive statistics | Related chapters of reference books | Öğretim Yöntemleri: Anlatım |
3 | Dependence techniques: Conjoint analysis and its assumptions | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
4 | Dependence techniques: Logistic regression and its assumptions | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
5 | Interdependence techniques: Multidimensional Scaling and its assumptions | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Problem Çözme |
6 | Interdependence techniques: Correspondence analysis and its assumptions | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Problem Çözme |
7 | An applications of dependence and interdependence techniques in SPSS | Computer applications | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Deney / Laboratuvar, Problem Çözme |
8 | Mid-Term Exam | Review of topics | Ölçme Yöntemleri: Performans Değerlendirmesi |
9 | Structural equations modeling and definitions of variables | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
10 | Types of Structural equations models: Path analysis and confirmatory factor analysis | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
11 | Types of Structural equations models: Structural regression models and Latent models | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
12 | Concept of Mediator variable and mediator variable analysis | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
13 | Assesing measurement model validity | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Problem Çözme |
14 | Assessing the structural model validity | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
15 | Aplications of Structural Equations Modelling with AMOS | Computer applications | Öğretim Yöntemleri: Anlatım, Deney / Laboratuvar, Problem Çözme |
16 | Term Exams | Review of topics | Ölçme Yöntemleri: Ödev |
17 | Term Exams | Review of topics | Ölçme Yöntemleri: Ödev |
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 |