TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	1
SEMESTER	First Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	9
NAME OF LECTURER(S)	Professor Halil Giray Berberoğlu
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) 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
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	The subjects of the course are as in the followings: Quantitative research patterns and data ananysis; basic terms; the introduction of SPSS program; descriptive statistics; hypothesis testing; T-test and variation analysis; correlation techniques; simple and multi-regression analysis; validity and reliability analysis; non-parametric analysis (qui-square test, Mann Whitney U test, Kruskal Wallis test)
COURSE CONTENTS	WEEK TOPICS 1st Week Basic terms, research pattern and choosing appropriate statistics 2nd Week Introduction to SPSS 3rd Week Descriptive Statistics and qui-square test 4th Week T-Test and ANOVA for inter-group patterns 5th Week T-Test and ANOVA for inter-group patterns 6th Week T-Test for inter-group T-test; single factoral ANOVA 7th Week ANOVA for complicated patterns 8th Week Mid-term Exam 9th Week Correlation and multi-linear regression analysis 10th Week Correlation and multi-linear regression analysis 11th Week Statistics used in scale development 12th Week Statistics used in scale development 13th Week Non-parametric statistics 14th Week Basic terms, research pattern, choosing appropriate statistics seçimi
RECOMENDED 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,Project,Other
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 50 Total(%) 50 Contribution of In-term Studies to Overall Grade(%) 50 Contribution of Final Examination to Overall Grade(%) 50 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 3 3 Preparation for Quiz Individual or group work 14 5 70 Preparation for Final exam 1 70 70 Course hours 14 3 42 Preparation for Midterm exam 1 50 50 Laboratory (including preparation) 1 4 4 Final exam 1 3 3 Homework 1 20 20 Total Workload 262 Total Workload / 30 8,73 ECTS Credits of the Course 9
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No