IEM1810 Multivariable Statistical Analysis II

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

Information

Unit INSTITUTE OF SOCIAL SCIENCES
ECONOMETRICS (PhD)
Code IEM1810
Name Multivariable Statistical Analysis II
Term 2018-2019 Academic Year
Term 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. EBRU ÖZGÜR GÜLER
Course Instructor
The current term course schedule has not been prepared yet.


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

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains and builds multivariate data matrix
LO02 Knows analysis using dependence techniques and explains their assumptions and areas of usage
LO03 Knows analysis using interdependence techniques and explains their assumptions and areas of usage
LO04 Explain structural equations modeling and explains their assumptions and areas of usage
LO05 Uses SPSS and AMOS package program to analyze each technique
LO06 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
PLO02 Bilgi - Kuramsal, Olgusal Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research
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 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
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 3
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
PLO13 Beceriler - Bilişsel, Uygulamalı Develops long-term plans and strategies using econometric and statistical methods
PLO14 Beceriler - Bilişsel, Uygulamalı Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research 4
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem 4
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads the team by taking responsibility
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 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
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
2 Building data matrix for multivariate analysis and the descriptive statistics Related chapters of reference books
3 Dependence techniques: Conjoint analysis and its assumptions Related chapters of reference books
4 Dependence techniques: Logistic regression and its assumptions Related chapters of reference books
5 Interdependence techniques: Multidimensional Scaling and its assumptions Related chapters of reference books
6 Interdependence techniques: Correspondence analysis and its assumptions Related chapters of reference books
7 An applications of dependence and interdependence techniques in SPSS Computer applications
8 Mid-Term Exam
9 Structural equations modeling and definitions of variables Related chapters of reference books
10 Types of Structural equations models: Path analysis and confirmatory factor analysis Related chapters of reference books
11 Types of Structural equations models: Structural regression models and Latent models Related chapters of reference books
12 Concept of Mediator variable and mediator variable analysis Related chapters of reference books
13 Assesing measurement model validity Related chapters of reference books
14 Assessing the structural model validity Related chapters of reference books
15 Aplications of Structural Equations Modelling with AMOS Computer applications
16 Term Exams
17 Term Exams


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: 29.04.2025 11:51