Akademik Dersler - Tanıtım

Last Updated: 07/10/2026

Code - Course Title	Course Type	Laboratory + Practice	ECTS
EÖD505 - Educational Statistics I	I. SEMESTER	3 +0	6.0

Language of Instruction	Türkçe
Course Type	Elective Courses
Course Instructor(s)	PROF. DR. YAVUZ AKBULUT
Mode of Delivery	This course is delivered through face-to-face instruction.
Place of Delivery	On Campus
Used Educational Platforms	Face-to-face
Prerequisites	This course has no prerequisites or corequisites.
Courses Recomended	Not applicable
Recommended Resources	• Akbulut, Y. (2010). Sosyal bilimlerde SPSS uygulamaları: Sık kullanılan istatistiksel analizler ve açıklamalı SPSS çözümleri. İdeal. • Field, A. (2009). Discovering statistics using SPSS (3rd edition). Sage.• Huck, S.W. (2012). Reading statistics and research (6th edition). Pearson.• Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge.
Work Placement	Not applicable
Aims of the Course	This course aims to equip students with fundamental descriptive and inferential statistical methods used in educational research and develop their skills in analyzing data using appropriate statistical techniques and interpreting the results scientifically.

Weeks	Learning Outcomes	Topics	Teaching Methods
Week - 1	LO-1	Introduction to statistics and basic concepts: data, variables, observations, and measurement	Lecture Question & Answer Discussion
Week - 2	LO-1	Types of variables and levels of measurement: nominal, ordinal, interval, and ratio scales	Lecture Question & Answer Discussion Problem Solving
Week - 3	LO-3	Data organization and visualization: frequency tables, graphs, and data presentation	Lecture Question & Answer Discussion Problem Solving
Week - 4	LO-2	Descriptive statistics I: measures of central tendency (mean, median, mode)	Lecture Question & Answer Discussion Problem Solving
Week - 5	LO-2	Descriptive statistics II: measures of dispersion (variance, standard deviation, range)	Lecture Question & Answer Discussion Problem Solving
Week - 6	LO-3	Probability distributions: normal distribution and binomial distribution	Lecture Question & Answer Discussion Problem Solving
Week - 7	LO-3	Preparing data for analysis: data organization, data cleaning, and assumption checking	Lecture Question & Answer Discussion
Week - 8	LO-3 LO-6	Correlation analysis I: meaning, types, and calculation of correlation	Lecture Question & Answer Discussion Problem Solving
Week - 9	LO-3 LO-4 LO-6	Correlation analysis II: partial correlation and interpretation of correlation results	Lecture Question & Answer Discussion Problem Solving Brain Storming
Week - 10	LO-3 LO-4 LO-6	Regression analysis: simple linear regression and interpretation	Lecture Question & Answer Discussion Problem Solving
Week - 11	LO-4	Introduction to hypothesis testing: research hypotheses, types of errors, and testing logic	Lecture Question & Answer Discussion Problem Solving Brain Storming
Week - 12	LO-4	Parametric tests I: t-tests for independent groups and repeated measures	Lecture Question & Answer Discussion Problem Solving
Week - 13	LO-4	Parametric tests II: analysis of variance (ANOVA), pairwise comparisons, effect size, and statistical power	Lecture Question & Answer Discussion Problem Solving Brain Storming
Week - 14	LO-5	Nonparametric tests: Chi-square, Mann–Whitney U, Wilcoxon signed-rank, Kruskal–Wallis, and Friedman tests	Lecture Question & Answer Discussion Problem Solving Brain Storming

Quality Education

Educational Sciences and Educational Technologies Data Science

Open-Ended Test Multiple Choice Test Short-Answer Test Homework

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	20
Final Exam	1	50
2.Midterm Exam	1	30
Toplam (%)		100