Pamukkale University
University is the guide to life
Welcome to PAU;
Prospective Student
Our Students
Our Staff
TR
Information Package & Course Catalogue
Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes
THIRD CYCLE - DOCTORATE DEGREE
THE GRADUATE SCHOOL OF SOCIAL SCIENCES
BUSINESS MANAGEMENT DEPARTMENT
2741 BUSINESS ADMINISTRATION PhD
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
Print
COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
ISY 653
SCALE DEVELOPMENT AND PSYCHOMETRIC METHODS
3 + 0
3rd Semester
10
COURSE DESCRIPTION
Course Level
Doctorate Degree
Course Type
Elective
Course Objective
The main goals of this course are: - to introduce students to the classical and modern measurement theories, - to help them learn the procedures used in scale development and validation studies, - to familiarize them with the applied psychometrics analysis methods.
Course Content
After reviewing basic statistical concepts that are necessary for learning measurement theories, classical test theory and latent variable models will ve covered at both conceptual and applied levels.
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
Reviewing basic statistical concepts that are fundamental to measurement theory
2
learning about historical roots of classical test theory
3
Wetting familiar with the modern test theory which includes item response theory, latent class analysis and Rasch measurement models
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
LO 001
LO 002
LO 003
Sub Total
Contribution
0
0
0
0
0
0
0
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Hours for off-the-classroom study (Pre-study, practice)
14
5
70
Assignments
14
4
56
Mid-terms
1
20
20
Final examination
1
20
20
Presentation / Seminar Preparation
2
11
22
Report / Project
3
10
30
Total Work Load
ECTS Credit of the Course
260
10
COURSE DETAILS
Select Year
All Years
2021-2022 Fall
2020-2021 Spring
2020-2021 Fall
2019-2020 Spring
2018-2019 Spring
2018-2019 Fall
Course Term
No
Instructors
Details
2020-2021 Spring
1
SERKAN DOLMA
Details
2020-2021 Fall
1
SERKAN DOLMA
Details
2019-2020 Spring
1
SERKAN DOLMA
Details
2018-2019 Spring
1
SERKAN DOLMA
Print
Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
ISY 653
SCALE DEVELOPMENT AND PSYCHOMETRIC METHODS
3 + 0
1
Turkish
2020-2021 Spring
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Asts. Prof. Dr. SERKAN DOLMA
dolma@pau.edu.tr
İİBF B0219
%
Goals
The main goals of this course are: - to introduce students to the classical and modern measurement theories, - to help them learn the procedures used in scale development and validation studies, - to familiarize them with the applied psychometrics analysis methods.
Content
After reviewing basic statistical concepts that are necessary for learning measurement theories, classical test theory and latent variable models will ve covered at both conceptual and applied levels.
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
50
Final Exam
Midterm Exam
50
Midterm Exam
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
{1}
##LOC[OK]##
{1}
##LOC[OK]##
##LOC[Cancel]##
{1}
##LOC[OK]##
##LOC[Cancel]##
Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes