PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
FBE 615	EDUCATIONAL STATISTICS	3 + 0	3rd Semester	10

COURSE DESCRIPTION

Course Level	Doctorate Degree
Course Type	Compulsory
Course Objective	The concept of statistics and the functions of statistics, the place of statistics in the research process, the types of variables, types of scales, the selection of appropriate statistics for data analysis, the creation of a data file in the statistics program, the development of students' skills in data analysis.
Course Content	Basic concepts of statistics, Collection and organization of statistical data, Frequency distributions and graphs, Measures of central tendency, Measures of Central Distribution, Probability Distributions, (Binomial Distribution, Normal Distribution, Paisson Distribution) Converting raw scores to Standard Scores, Some types of correlations and usage patterns, simple regression analysis.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

COURSE'S CONTRIBUTION TO PROGRAM

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)	4	7	28
Assignments	4	40	160
Mid-terms	1	15	15
Final examination	1	15	15
Total Work Load ECTS Credit of the Course			260 10

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2020-2021 Fall	1	ÖMÜR KAYA KALKAN

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
FBE 615	EDUCATIONAL STATISTICS	3 + 0	1	Turkish	2020-2021 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. ÖMÜR KAYA KALKAN	kayakalkan@pau.edu.tr		EGT A0020	%70

Goals		The concept of statistics and the functions of statistics, the place of statistics in the research process, the types of variables, types of scales, the selection of appropriate statistics for data analysis, the creation of a data file in the statistics program, the development of students' skills in data analysis.
Content		Basic concepts of statistics, Collection and organization of statistical data, Frequency distributions and graphs, Measures of central tendency, Measures of Central Distribution, Probability Distributions, (Binomial Distribution, Normal Distribution, Paisson Distribution) Converting raw scores to Standard Scores, Some types of correlations and usage patterns, simple regression analysis.

Topics

Weeks	Topics
1	Screening Data Prior to Analysis
2	Analizden Önce Verilerin Taranması
3	Multiple regression
4	Multi-way analysis of variance
5	Multi-way analysis of covariance
6	Multivariate analysis of variance (MANOVA)
7	Multivariate analysis of covariance (MANCOVA)
8	Midterm exam
9	Multivariate analysis of repeated measures
10	Exploratory Factor Analysis
11	Confirmatory Factor Analysis
12	Confirmatory Factor Analysis
13	Structural Equation Modeling
14	Structural Equation Modeling

Materials

Materials are not specified.

Resources

Resources	Resources Language
Using Multivariate Statistics, Barbara G. Tabachnick & Linda S. Fidell	English
Discovering Statistics Using SPSS - Andy Field	Türkçe

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

Prospective Student