TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Doctorate Of Science
YEAR OF STUDY	1
SEMESTER	Second Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Can disucss the basic topics in advanced statistical methods. 2) Can choose appropriate analyzes based on the research questions they encounter. 3) Can use statistical package programs for advanced statistical methods. 4) Can write a report on advanced statistical methods. 5) Can design research questions suitable for advanced statistical methods.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	The purpose of this course is to discuss the advanced statistical methods regularly used in behavioral sciences, teach the students to choose the appropriate analysis methods in the face of a research question, correctly implement the statistical analyses, and properly report the results of these analyses. Advanced statistical methods such as structural equation modelling, latent structure analysis, and intergroup invariance analysis are few of the topics that will be covered in the course.
COURSE CONTENTS	WEEK TOPICS 1st Week Advanced research techniques I 2nd Week Advanced research techniques II 3rd Week Advanced research techniques III 4th Week Structural equation models I 5th Week Structural equation models II 6th Week Structural equation models III 7th Week Applying advanced research techniques I 8th Week Applying advanced research techniques II 9th Week Applying advanced research techniques III 10th Week Applying advanced research techniques IV 11th Week Experiment Application I 12th Week Experiment Application II 13th Week Experiment Application III 14th Week Experiment Application IV
RECOMENDED OR REQUIRED READING	Tabachnick, B. G. & Fidell, L. S. (2011). Multivariate statistics. Boston: Allyn and Bacon. * The basic materials to be used in this course are updated every year.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Questions/Answers,Practice,Other
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Quiz 4 30 Project 1 40 Total(%) 70 Contribution of In-term Studies to Overall Grade(%) 70 Contribution of Final Examination to Overall Grade(%) 30 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam Preparation for Quiz 4 2 8 Individual or group work 14 5 70 Preparation for Final exam 1 24 24 Course hours 14 3 42 Preparation for Midterm exam Laboratory (including preparation) Final exam 1 2 2 Homework 1 155 155 Total Workload 301 Total Workload / 30 10,03 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No