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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
YOBS 648INTRODUCTION TO STRUCTURAL EQUATION MODELING3 + 03rd Semester7,5

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective The main purpose of the course is to provide an introduction to structural equation modelling (SEM) and how these models can be applied to organizational and management information sciences issues.
Course Content Multiple linear regression, the concept of latent variable, confirmatory factor analysis, quantitative modeling approach
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Prepare and organize data to be used for analyses in a SEM software.
2Formulate models with manifest and latent variables based on a given research problem.
3Interpret results and report a SEM analysis.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
LO 002            
LO 003            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments12020
Mid-terms12929
Final examination13232
Presentation / Seminar Preparation13030
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1SERKAN DOLMA
Details 2022-2023 Fall1SERKAN DOLMA


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
YOBS 648 INTRODUCTION TO STRUCTURAL EQUATION MODELING 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. SERKAN DOLMA dolma@pau.edu.tr İİBF B0214 %
Goals The main purpose of the course is to provide an introduction to structural equation modelling (SEM) and how these models can be applied to organizational and management information sciences issues.
Content Multiple linear regression, the concept of latent variable, confirmatory factor analysis, quantitative modeling approach
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes