11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


dpsi.ss.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
None
Course Language
Course Type
Elective
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Familiarize graduate students in psychology with the language, logic, and implementation of structural equation modeling;
  • Compare and contrast structural equation modeling with more commonly used statistical procedures such as analysis of variance, multiple regression analysis, and factor analysis;
  • Learn the criteria associated with decisions that must be made at each phase of a structural equation modeling analysis;
  • Consider the philosophical and statistical criticisms of structural equation modeling as an approach to research design and data analysis;
Course Description

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses
X

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 What is Structural Equation Modeling (SEM)? Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press.
2 Basic concepts and notations Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press.
3 Basic Concepts: the data, the estimates (model parameters) Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press.
4 Types of models and their specification in a diagram Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press.
5 Firstorder confirmatory factor analysis Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press.
6 Higherorder confirmatory factor analysis Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press.
7 Measurement models Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press.
8 Midterm Exam
9 Measurement models with oneindicators
10 Multigroup applications of CFA Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press.
11 Testing structural models Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press.
12 Multigroup applications of structural models Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press.
13 Examples from the literature
14 Examples from the literature
15 Examples from the literature
16 Review of the Semester  
Course Notes/Textbooks Book chapters outlined above, recent articles holding current scientific enquiries in psychology, and .ppt presentations.
Suggested Readings/Materials All of the prestigious journal that publish psychological research.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
1
10
Project
Seminar / Workshop
Oral Exam
Midterm
1
40
Final Exam
1
50
Total

Weighting of Semester Activities on the Final Grade
2
50
Weighting of End-of-Semester Activities on the Final Grade
1
50
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
14
8
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
1
15
Project
Seminar / Workshop
Oral Exam
Midterms
1
20
Final Exams
1
30
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Being able to advance and deepen undergraduate level psychological knowledge to an expert level. X
2 Being able to examine acquired knowledge on an interdisciplinary basis and understand the interaction between psychology and other related disciplines. X
3 Being able to use the acquired institutional and applied psychology knowledge at an expert level. X
4 Being able to aim and channel learning efforts, to independently conduct and manage advanced level studies and to critically evaluate psychological knowledge. X
5 Being able to solve problems requiring expertise using scientific research methods, to develop new knowledge by integrating psychological information with multidisciplinary information. X
6 Being able to independently assume a problem, develop a problem solving method, solve the problem, assess the outcomes and apply this method when needed. X
7 Being able to act according to ethical and scientific standards in collecting, evaluating and sharing data as well as be able to act as an inspector and instructor in the maintenance and transference of ethical values.
8 In the presence of unexpected and complicated problems, be able to take responsibility and develop new strategies and methods for intervention.
9 Being able to systematically communicate one’s own studies and the psychological agenda both written, oral and visually to psychologists and non psychologists. X
10 Being able to make use of foreign language for learning new knowledge and to communicate with foreign colleagues. X
11 Being able to use computer software as well as other informatics and communication technologies required in psychology at an advanced level. X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

İzmir Ekonomi Üniversitesi | Sakarya Caddesi No:156, 35330 Balçova - İZMİR Tel: +90 232 279 25 25 | webmaster@ieu.edu.tr | YBS 2010