Home  »  Institute of Social Sciences »  Master's of Social Psychology with Thesis

COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
ADVANCED STATISTICS PSS502 Second Term (Spring) 2 + 2 9

TYPE OF COURSE UNITCompulsory Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY1
SEMESTERSecond Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED9
NAME OF LECTURER(S)Associate Professor Elvin Doğutepe
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Learn the fundamental topics in multivariate statistics.
2) Select appropriate analyses for the research questions that they confronted with.
3) Use statistical packages to make multivariate statistics.
4) Be able to write statistical reports of multivariate analyses.
5) Design research questions suitable to multivariate analyses.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONThe goal of this course is to teach the fundamental topics in multivariate statistics, select appropriate analyses for the research questions that the students confronted with, learn using statistical packages to make multivariate statistics, be able to write statistical reports of multivariate analyses and finally design research questions suitable to multivariate analyses. Possible topics to be covered include data screening, multiple regression, multivariate statistics, principal component analysis and structural equation modeling.
COURSE CONTENTS
WEEKTOPICS
1st Week Introduction to Multivariate Statistics
2nd Week Data Screening
3rd Week Multiple Regression
4th Week Multiple Regression (cont.)
5th Week Canonical Correlation
6th Week Multiway Frequency Analysis
7th Week Analysis of Covariance
8th Week Multivariate Analysis of Variance
9th Week Multivariate Analysis of Variance (cont.)
10th Week Principal Component Analysis
11th Week Principal Component Analysis (cont.)
12th Week Introduction to Structural Equation Modeling
13th Week Introduction to Structural Equation Modeling (cont.)
14th Week General Evaluation
RECOMENDED OR REQUIRED READINGTabachnick, B. G., & Fidell, L. S. (2011). Multivariate statistics. Boston: Allyn and Bacon.
* The primary textbook for this course is renewed every year.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Questions/Answers,Practice,Other
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term140
Total(%)40
Contribution of In-term Studies to Overall Grade(%)40
Contribution of Final Examination to Overall Grade(%)60
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam133
Preparation for Quiz
Individual or group work1411154
Preparation for Final exam13535
Course hours14342
Preparation for Midterm exam12525
Laboratory (including preparation)
Final exam133
Homework
Total Workload262
Total Workload / 308,73
ECTS Credits of the Course9
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
LO1LO2LO3LO4LO5
K1         
K2         
K3    X   X    
K4          X
K5    X   X    
K6  X        
K7  X   X       X
K8         
K9  X   X   X    
K10        X  
K11          X
K12          X
K13    X     X  
K14        X  
K15        X   X
K16        X  
K17        X   X
K18          X
K19         
K20         
K21