COURSE UNIT TITLE

: MULTIVARIATE DATA ANALYSIS II

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
DBA 6373 MULTIVARIATE DATA ANALYSIS II ELECTIVE 3 0 0 8

Offered By

Business Administration (English)

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR SABRI ERDEM

Offered to

Business Administration (English)

Course Objective

Structural Equation Modeling (SEM) is a general statistical modeling technique to establish relationships among variables. This course covers the theory of SEM, and includes practical work with software and real data. It covers the key concepts in SEM - at the conclusion of the course students will be able to specify different forms of models, using observed, latent, dependent and independent variables. Student will be able to conduct confirmatory factor analysis, and diagram SEM models.

Learning Outcomes of the Course Unit

1   To be able to demonstrate an understanding of the basic theory and principles of structural equation modelling
2   To be able to use a computer package to design, draw and assess structural equation models
3   To be able to understand the different uses of structural equation modelling techniques in social science research
4   To be able to appreciate the strengths and weaknesses of structural equation modelling designs
5   To be able to read, understand and critically assess research publications using structural equation modelling techniques

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Model Specification
3 Identification
4 Estimation-I
5 Estimation-II
6 Article discussions
7 Article discussions
8 MIDTERM EXAMINATION WEEK
9 MIDTERM EXAMINATION WEEK
10 Mediation
11 Moderation
12 Multi-group analysis
13 Project presentations
14 Project presentations

Recomended or Required Reading

1. Principles and practice of structural equation modeling, Kline
2. A First Course in Structural Equation Modeling, Raykov&Marcoulides
3. A beginner's guide to structural equation modeling, Schumacker&Lomax

Planned Learning Activities and Teaching Methods

Lectures, computer applications, student presentations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.20 + FIN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.20 + RST* 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 10 1 10
Preparation for midterm exam 1 40 40
Preparation for final exam 1 40 40
Preparing presentations 1 25 25
Preparing assignments 10 5 50
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 207

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7
LO.152
LO.235333
LO.355
LO.45
LO.5542

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

HOME / ABOUT US / DEGREE PROGRAMMES / GENERAL INFORMATION FOR STUDENTS / INTERNATIONAL RELATIONS