TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Doctorate Of Science
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	15
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Know the basicsof quantitative research methods 2) Know the basic and advanced levels of statistics 3) Know to build models with the quantitative variables 4) Know parametric and non-parametric quantitative methods
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	MAN660 TOPICS IN MICRO ORGANIZATION THEORY I MAN661 TOPICS IN MACRO ORGANIZATION THEORY
COURSE DEFINITION	Students will learn how to do an unbiased and valuable quantitative study. In addition, students will gain the ability to use quantitative data analysis software.Students who have successfully completed the course will be able to produce works that can be published in reputable journals.
COURSE CONTENTS	WEEK TOPICS 1st Week Ethical Principles in Scientific Research 2nd Week Ethical Rules Specific to Quantitative Research 3rd Week Introduction to SPSS Software. 4th Week Descriptive Statistics, Frequency Distributions, Cross Tables. 5th Week Hypothesis Testings I 6th Week Hypothesis Testings II 7th Week Covariance and Correlation 8th Week Mid Term Exam 9th Week Covariance and Correlation 10th Week Regression Analysis 11th Week Scale Development 12th Week Exploratory Factor Analysis (EFA) 13th Week Confirmatory Factor Analysis 14th Week Other Multivariate Statistical Methods
RECOMENDED OR REQUIRED READING	Tabachnick, B. G, & Fidel, L. S. (2001). Using Multivariate Statistics (Fourth edition). Boston: Ally and Bacon Altunışık, R. Coşkun, R. Bayraktaroğlu, S. ve Yıldırım, E. (2005) Sosyal Bilimlerde Araştırma Yöntemleri, Sakarya: Sakarya Yayınevi. Büyüköztürk, Ş. (2007). Veri Analizi El Kitabı, Ankara: Pegem
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Case Study
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Project 1 30 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz Individual or group work Preparation for Final exam 4 55 220 Course hours 14 3 42 Preparation for Midterm exam 4 40 160 Laboratory (including preparation) 1 30 30 Final exam 1 3 3 Homework Total Workload 457 Total Workload / 30 15,23 ECTS Credits of the Course 15
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No