TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	3
SEMESTER	Fifth Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Will explain the fundamental topics in multivariate statistics. 2) Will select appropriate analyses for the research questions that they confronted with. 3) Will use statistical packages to make multivariate statistics. 4) Will be able to write statistical reports of multivariate analyses. 5) Will design research questions suitable to multivariate analyses.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	PSY211, PSY212
COURSE DEFINITION	The main aim of this course is to provide a build-up for the Statistics in Behavioral Sciences II. More advanced statistical multivariate analysis techniques and their application in psychological sciences are discussed. Techniques such as confirmatory factor analysis, structural equation models, generalized linear models, and multilevel methods are examined. Students apply the techniques using the statistical language R. It is assumed that the students have followed the the Statistics in Behavioral Sciences II course.
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction to Multivariate Statistics 2nd Week Data Screening 3rd Week Multiple Regression I 4th Week Multiple Regression II 5th Week Canonical Correlation 6th Week Multiway Frequency Analysis 7th Week Analysis of Covariance 8th Week Mid-Term Exam 9th Week Multivariate Analysis of Variance I 10th Week Multivariate Analysis of Variance II 11th Week Principal Component Analysis I 12th Week Principal Component Analysis II 13th Week Introduction to Structural Equation Modeling I 14th Week Introduction to Structural Equation Modeling II
RECOMENDED OR REQUIRED READING	Tabachnick, B. G. ve Fidell, L. S. (2011). Multivariate statistics. Boston: Allyn and Bacon.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Quiz 2 20 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 1 1 Preparation for Quiz 2 6 12 Individual or group work 14 3 42 Preparation for Final exam 1 30 30 Course hours 14 3 42 Preparation for Midterm exam 1 20 20 Laboratory (including preparation) Final exam 1 1 1 Homework Total Workload 148 Total Workload / 30 4,93 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No