ECTS - Applied Statistics for Psychology

Applied Statistics for Psychology (PSY403) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Applied Statistics for Psychology PSY403 3 2 0 4 8
Pre-requisite Course(s)
COMPE 105, PSY 102, PSY 318
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Drill and Practice.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The course aims at teaching multivariate statistics in psychology as well as theoretical background of each analysis.
Course Learning Outcomes The students who succeeded in this course;
  • Develop an understanding of theoretical background of each analysis
  • Identify the distinction between univariate and multivariate analyses
  • Master data analysis in SPSS (i.e. univariate and multivariate analyses of variance and covariance, multiple regression, logistic regression, factor analysis)
  • Master the interpretation of findings of analysis in SPSS
  • Master how to write the findings in APA style
Course Content Getting to know SPSS main menus, creating data and working with data, conducting various analyses such as t-test, variation analysis, correlation, regression, scaling procedures and non-parametric procedures.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction Assigned reading: Chapter 1
2 Review of Descriptive Statistics Assigned reading: Chapter 1
3 Review of Descriptive Statistics Assigned reading: Chapter 1
4 Analysis of Variance Assigned reading: Chapter 3
5 Analysis of Variance Assigned reading: Chapter 3
6 Analysis of Covariance Assigned reading: Chapter 6
7 Multiple Regression Assigned reading: Chapter 5
8 Multiple Regression Assigned reading: Chapter 5
9 Mediation Testing Assigned reading: Chapter 5
10 Mediation Testing Assigned reading: Chapter 5
11 Multivariate Analysis of Variance Assigned reading: Chapter 7
12 Multivariate Analysis of Variance Assigned reading: Chapter 7
13 Factor Analysis Assigned reading: Chapter 13
14 Factor Analysis Assigned reading: Chapter 13
15 Final Examination Period Review of Topics
16 Final Examination Period Review of Topics

Sources

Course Book 1. Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th Ed.). Boston: Pearson
2. Green, S. B., & 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 - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 1 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 40
Final Exam/Final Jury 1 40
Toplam 3 100
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 Acquiring the skills of understanding, explaining, and using the fundamental concepts and methods of economics
2 Acquiring the skills of macro level economic analysis
3 Acquiring the skills of micro level economic analysis
4 Understanding the formulation and implementation of economic policies at the local, national, regional, and/or global level
5 Learning different approaches on economic and related issues
6 Acquiring the quantitative and/or qualitative techniques in economic analysis
7 Improving the ability to use the modern software, hardware and/or technological devices
8 Developing intra-disciplinary and inter-disciplinary team work skills X
9 Acquiring an open-minded behavior through encouraging critical analysis, discussions, and/or life-long learning
10 Adopting work ethic and social responsibility
11 Developing the skills of communication.
12 Improving the ability to effectively implement the knowledge and skills in at least one of the following areas: economic policy, public policy, international economic relations, industrial relations, monetary and financial affairs.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application 16 2 32
Special Course Internship
Field Work
Study Hours Out of Class 14 6 84
Presentation/Seminar Prepration
Project
Report
Homework Assignments 1 10 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 199