PSL701 - MULTIVARIATE STATISTICS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
MULTIVARIATE STATISTICS PSL701 1st Semester 2 2 3 10
PrequisitesPSL 601 Research Methods and PSL 602 Statistical Applications ın Psychology
Course languageTurkish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Preparing and/or Presenting Reports
Demonstration
Drill and Practice
Problem Solving
Brain Storming
 
Instructor (s)Department Staff 
Course objectiveThe aims of the course are to gain the student about apprehension, utilization and usage of multivariate statistics. 
Learning outcomes
  1. Comprehend the theory behind multivariate statistics
  2. Use multivariate statistics
  3. Discuss the limitations and strengths of these statistical techniques
  4. Report the results of analyses
Course ContentThe course covers the following topics: Utilizations of multivariate statistics,
outlier and missing value analyses, correlation and regression analyses, ANOVA and ANCOVA, MANOVA and MANCOVA, profile analysis, factor analyses, structural equation modeling, multilevel linear modeling, multilevel frequency analysis (sweep analysis), and writing an adequate analyze report.

Course Level: Graduate
Course Coordinator: Dr. Arife Berna AYTAÇ
Course Supervisor: Dr. Arife Berna AYTAÇ
Course Assistants: It will be given by the course instructor by the department.
Internship Status: None 
ReferencesTabachnick, B. G., and Fidell, L. S. (2007). Using Multivariate
Statistics.Pearson: New York.
Meyers, L. S., Gamst, G., and Guarino, A. J. (2006). Applied Multivariate
Research: Design and Interpretation. Sage Publications: London. 

Course outline weekly

WeeksTopics
Week 1Utilizations of multivariate statistics
Week 2Outlier and missing value analysis
Week 3Correlation
Week 4Regression analysis
Week 5Regression analysis
Week 6Midterm exam
Week 7ANOVA and ANCOVA
Week 8MANOVA and MANCOVA
Week 9MANOVA and MANCOVA
Week 10Profile Analysis
Week 11Midterm exam
Week 12Factor Analysis
Week 13Structural Equation Modelling
Week 14Multilevel Linear Modelling
Week 15Multilevel Frequency Analysis (Sweep Analysis)
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application1415
Field activities00
Specific practical training00
Assignments1415
Presentation00
Project00
Seminar00
Midterms230
Final exam140
Total100
Percentage of semester activities contributing grade succes3060
Percentage of final exam contributing grade succes140
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 16 2 32
Laboratory 0 0 0
Application14228
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14684
Presentation / Seminar Preparation000
Project000
Homework assignment14456
Midterms (Study duration)23060
Final Exam (Study duration) 14040
Total Workload6184300

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Understands the relationship between current theoretical and applied information in clinical psychology    X
2. Evaluates the validity of scientific information in clinical psychology, apprehends the interactions between the disciplines related with this information and clinical psychology   X 
3. Has knowledge about the causes and effects of transformations that individuals experience  X  
4. Evaluates the applications of analysis techniques and technologies being used in various domains of clinical psychology    X
5. Acts in accordance with legislations, professional merits and ethical principles of clinical psychology  X  
6. Supports proposals for solution of specified problems in clinical psychology with scientific findings   X 
7. Carries out joint work to contribute to the scientific information in clinical psychology    X
8. Resolves the knowledge and applications of clinical psychology into social responsibility projects  X  
9. Adopts a lifelong learning approach in personal and professional development    X
10. Evaluates contemporary approaches in clinical psychology, incorporates them into the studies    X
11. Conducts research in clinical psychology, evaluates results based on related literature    X
12. Orientates the Master of Science training to reach the next level of education or to make contributions to the professional applications   X 
13. Delivers original written/oral presentations in national/international clinical psychology meetings   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest