GRADUATE SCHOOL

Experimental Psychology (With Thesis)

PSY 552 | Course Introduction and Application Information

Course Name
Structural Equation Modeling
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
PSY 552
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives The aim of this course is to introduce the students to the structural equation modeling, to have skills in the development, analysis, modification and testing of the models and to provide students to report the results of their analyzes in a way that can be accepted by refereed journals.
Learning Outcomes The students who succeeded in this course;
  • will be able to describe basic concepts of structural equation modeling.
  • Will be able to discriminate structural equation modeling from the other statistical methods that are more commonly used such as analysis of variance, multiple regression analysis, and factor analysis.
  • Will be able to discriminate different structural equation models (Path Analysis, Measurement and Structural Regression Models).
  • Will be able to correctly apply structural models to psychological data.
  • Will be able to interpret the results and report the findings of the models in APA style.
Course Description This graduate course overviews the application of structural equation modeling to various analysis problems confronted throughout the social, behavioral, and health sciences. Topics will include confirmatory factor analysis, measurement and structural models, path analysis, mediation, assessing model fit.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 What is Structural Equation Modeling (SEM)? Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press. Chapter 1
2 Basic concepts and notations Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press. Chapter 2 & 3
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. Chapter 2 & 3
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. Chapter 4
5 First-order confirmatory factor analysis Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press. Chapter 7
6 Higher-order confirmatory factor analysis Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press. Chapter 7
7 Measurement models Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press. Chapter 7
8 Midterm Exam
9 Measurement models with one indicators Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press. Chapter 7
10 Multi-group applications of CFA Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press. Chapter 11
11 Testing structural models Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press. Chapter 8
12 Multi-group applications of structural models Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press. Chapter 8 & 11
13 Examples from the literature
14 Examples from the literature
15 Review of the Semester
16 Final Exam

 

Course Notes/Textbooks

Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press. ISBN 978-1-57230-690-5.

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
3
30
Presentation / Jury
1
10
Project
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
5
70
Weighting of End-of-Semester Activities on the Final Grade
1
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
16
5
80
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
3
6
18
Presentation / Jury
1
19
19
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
30
30
Final Exam
1
30
30
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to advance and deepen undergraduate level psychological knowledge to an expert level.

X
2

To be able to examine acquired knowledge on an interdisciplinary basis and understand the interaction between psychology and other related disciplines.

X
3

To be able to use the acquired institutional and applied psychology knowledge at an expert level.

X
4

To be able to aim and channel learning efforts, to independently conduct and manage advanced level studies and to critically evaluate psychological knowledge.

X
5

To be able to solve problems requiring expertise using scientific research methods, to develop new knowledge by integrating psychological information with multidisciplinary information.

X
6

To be 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

To be 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

To be able to take responsibility and develop new strategies and methods for intervention in the presence of unexpected and complicated problems.

9

To be able to systematically communicate one’s own studies and the psychological agenda both written, oral and visually to psychologists and non psychologists.

X
10

To be able to make use of foreign language for learning new knowledge and to communicate with foreign colleagues.

X
11

To be 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

 


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