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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| AGRICULTURAL ECONOMICS (MASTER) (WITH THESIS) | |
| Code | TE553 |
| Name | Applications of Multivariate Anaysis in Economic and Social Research |
| Term | 2022-2023 Academic Year |
| Term | 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 | Dr. Öğr. Üyesi TUNA ALEMDAR |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
Dimension reduction in multivariate data sets in economic and social researches, examining interdependency structure among data, classification of observations and variables, conducting statistical tests
Course Content
Exploratory and confirmatory mutltivariate statistical analyses;relations and variables; categorical variables; dimension reduction in data; techniques of grouping and classifying; main multivariate analysis techniques; principal components analysis; factor analysis, discriminant analysis, cluster analysis, correspondence analysis, multiple regression analysis, canonical corelation, multidimensional scaling, structural equations modelling and applications of other multidimensional analyses and interpreting analysis results
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Be able to describe main concepts, theories and methods used in multivariate statistical analyses |
| LO02 | to be able to determine the most appropriate multivariate analysis technique for various research problems |
| LO03 | to be able to apply main multivariate research methods in economic and social fields, to be able to get use of appropriate software and to interprete the results |
| LO04 | to be able to critically interprete scientific articles written on actual problems of economic and social sciences under the light of the knowledge acquired from multivariate analysis methods |
| LO05 | to be able to transfer results of multivariate analyses to others by using verbal, written and visual tools |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Data types, classification of multivariate analysis methods | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Data preparation for multivariate analyses, check for normality, concept of multivariate normality | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 3 | Correlation, partial correlation | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Principle Components Analysis, difference from factor analysis | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Örnek Olay, Problem Çözme |
| 5 | Factor analysis, exploratory and confirmatory factor analyses, factor scores, matrix rotations, application areas | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Gösterip Yaptırma, Örnek Olay, Problem Çözme |
| 6 | Cluster Analysis | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Gösterip Yaptırma, Örnek Olay, Problem Çözme |
| 7 | Discriminant Analysis | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Tartışma, Gösterip Yaptırma, Örnek Olay, Problem Çözme |
| 8 | Mid-Term Exam | Lecture notes and suggested resources | Ölçme Yöntemleri: Yazılı Sınav, Ödev, Performans Değerlendirmesi |
| 9 | Multiple regression and logistic regression analyses | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Gösterip Yaptırma, Örnek Olay, Problem Çözme |
| 10 | Multidimensional Analysis of Variance (MANOVA); t tests; comparion of ANOVA with MANOVA | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Tartışma, Gösterip Yaptırma, Benzetim |
| 11 | Canonical Correlation; Multidimensional Scaling | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Gösterip Yaptırma |
| 12 | CorrespondenceAnalysis | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama, Gösterip Yaptırma |
| 13 | Conjoint Analysis | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama, Örnek Olay, Problem Çözme |
| 14 | Introduction to Structural Equation Models | Lecture notes and suggested resources | |
| 15 | General Overview | Lecture notes and suggested resources | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama, Gösterip Yaptırma, Örnek Olay |
| 16 | Term Exams | Lecture notes and suggested resources | Ölçme Yöntemleri: Yazılı Sınav, Ödev, Performans Değerlendirmesi |
| 17 | Term Exams | Lecture notes and suggested resources | Ölçme Yöntemleri: Yazılı Sınav, Ödev, Performans Değerlendirmesi |