IEM1810 Multivariable Statistical Analysis II

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

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

Update Time: 11.05.2023 04:56