EDUCATIONAL STATISTICS

TYÖ605

Course Code: TYÖ605
Semester: First Term (Fall)
Theory+Practice: 3 + 0
ECTS: 7

Course Type

Compulsory Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

First Term (Fall)

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

to develop the skills in practicing the statistics techniques that are often used in causal, comparative, correlational and empirical patterns for the Social Sciences Studies by using SPSS; interpreting the results and reporting.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

Introduction to SPSS, descriptive statistics, hypothesis test, linear correlation techniques, simple and multiple linear regression analysis, t-test, variance analysis, non-parametric statistics (chi-square, , Mann Whitney U-test, Kruskal Wallis Test, Wilcoxon Signed Rank Test), techniques used in developing for language teaching.

Course Contents

WEEK	TOPICS
1^st Week	Basic terms, research pattern and choosing appropriate statistics
2^nd Week	Introduction to SPSS
3^rd Week	Descriptive Statistics and qui-square test
4^th Week	T-Test and ANOVA for inter-group patterns
5^th Week	T-Test and ANOVA for inter-group patterns
6^th Week	T-Test for inter-group T-test; single factoral ANOVA
7^th Week	ANOVA for complicated patterns
8^th Week	Mid-term Exam
9^th Week	Correlation and multi-linear regression analysis
10^th Week	Correlation and multi-linear regression analysis
11^th Week	Statistics used in scale development
12^th Week	Statistics used in scale development
13^th Week	Non-parametric statistics
14^th Week	Basic terms, research pattern, choosing appropriate statistics seçimi

Recommended or Required Reading

Büyüköztürk, Ş. (2008). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni, SPSS uygulamaları ve yorum (9.baskı). Ankara: Pegem Yayınları.
Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö.E., Karadeniz, Ş. ve Demirel, F. (2008). Bilimsel araştırma yöntemleri (İkinci baskı). Ankara: Pegem Yayınları.
Fraenkel, J.R. & Wallen, N.E. ( 2006). How to design and evaluate research in education (Sixth edition). Boston: McGraw-Hill Pub.
Green, S.B. & Salkind, N.J. ( 2005). Using SPSS for windows and macintosh: Analyzing and understanding data (Fourth edition). Upper Saddle River: Pearson Prentice Hall.
Hovardaoğlu, S. (2004). Davranış bilimleri için istatistik. Ankara: Hatipoğlu Yayınları.
Kline, P. (1994). An easy guide to factor analysis. New York: Routledge.
Köklü, N., Büyüköztürk, Ş. ve Çokluk, Ö. (2007). Sosyal bilimler için istatistik (2.baskı). Ankara: Pegem Yayınları.
Tabachnick, B. G, & Fidell, L.S. (2001). Using multivariate statistics (Fourth edition). Boston: Ally and Bacon.

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Questions/Answers
Case Study
Report Preparation
Presentation

Assessment Methods and Criteria

	Quantity	Percentage (%)
Assignment	1	15
Practice	1	15
Project	1	15
Presentation of Case Study	1	15
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	3	3
Preparation for Quiz
Individual or group work
Preparation for Final exam
Course hours	14	3	42
Preparation for Midterm exam
Laboratory (including preparation)
Final exam
Homework	5	20	100
Literature review	2	20	40
Performance Practice	5	5	25
Total Work Load			210
Total Work Load / 30 (h)			7
ECTS Credit of the Course			7

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1
K1
K2	X
K3	X
K4
K5
K6
K7
K8
K9	X
K10
K11
K12
K13
K14
K15
K16
K17	X
K18	X
K19