ECTS - Advanced Multivariate Statistics

Advanced Multivariate Statistics (PSY521) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Advanced Multivariate Statistics PSY521 3 2 0 4 8
Pre-requisite Course(s)
PSY 504
Course Language English
Course Type N/A
Course Level Social Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Drill and Practice.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. İrem Metin Orta
Course Assistants
Course Objectives This course is designed to introduce multivariate statistical techniques and their applications in psychological research.
Course Learning Outcomes The students who succeeded in this course;
  • To explain the differences between multivariate statistical analysis and other techniques
  • To explain how multivariate statistics can be used to answer questions in psychology research
  • To master the basics of SPSS
  • To master data analysis techniques in SPSS
  • To master the interpretation of the findings of analysis
  • To master how to write the findings in APA style
Course Content Advanced-level multivariate statistical methods, statistical analyses of multivariate data with software packages, conceptual understanding and computer applications, including analysis of variance, regression, and structural equation modeling.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction
2 Screening Data and Creating Variables Related Chapters
3 Working with the data Related Chapters
4 Univariate Analysis of Variance -I Related Chapters
5 Univariate Analysis of Variance- II Related Chapters
6 Multivariate Analysis of Variance- I Related Chapters
7 Multivariate Analysis of Variance- II Related Chapters
8 Multiple Regression Analysis Related Chapters
9 Mediational Regression Analysis Related Chapters
10 Moderated Regression Analysis Related Chapters
11 Structural Equation Modelling-I Related Chapters
12 Structural Equation Modelling-II Related Chapters
13 Exploratory Factor Analysis Related Chapters
14 Confirmatory Factor Analysis Related Chapters
15 Review of Topics
16 Final Exam


Course Book 1. Tabachnick, B. G. ve Fidell, L. S. (2019). Using multivariate statistics (7th Ed.).Pearson Education.
2. Green, S. B. ve Salkind, N. J. (2012). Using SPSS for windows and Macintosh: Analyzing and understanding data. New Jersey: Pearson

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application 10 30
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 12 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Knowledge of theories and empirical data on the professional relationship, such as: Interpersonal relationships, power relationships, boundary issues, therapeutic alliance and more specific knowledge of the fluctuations of the therapeutic/professional relationship as a function of intervention setting.
2 Knowledge of self, such as motivation, resources, values, personal biases and others; macro (work, national norms) and micro (family, gender differences) environment in which the person functions.
3 Acquiring skills of effective communication, establishment and maintenance of rapport, establishment and maintenance of trust and respect in the professional relationship. X
4 Accepting obligations, being sensitive to others, and conducting the self in an ethical manner while working with other professionals. X
5 Knowledge and skills of assessment and evaluation such as assessment methods, knowledge of populations served in a cultural context, human development and diagnosis along with necessary skills such as collection and processing data, formulation of hypotheses and making a diagnosis when appropriate, report writing and formulation of an action plan. X
6 The learning of an array of varied interventions with individuals and systems such as couples, families, groups and organizations, selecting and applying appropriate intervention methods.
7 Analyzing the information by utilizing critical reasoning skills, developing a conceptual framework towards solution of a critical problem, and communicating this to the client. X
8 Sufficient skills in the conduct of research to be able to develop and carry out projects in a professional context and, in certain cases, in an academic context. Applications of various research approaches to social systems. X
9 Has knowledge of ethical principles and skills of ethical decision-making process, proactive identification of potential ethical dilemmas and resolution of ethical dilemmas. X
10 Learning to be a receptive supervisee such as open to supervision, well prepared, able to use time efficiently, aware of limits, and ability to link learning approaches to specific evaluation criteria. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 5 80
Application 10 3 30
Special Course Internship
Field Work
Study Hours Out of Class 16 4 64
Presentation/Seminar Prepration
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 194