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 General Elective 3 2 0 4 8
Pre-requisite Course(s)
PSY102 ve PSY318
Course Language English
Course Type Elective Courses
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 They acquire the skills to understand, explain, and use the basic concepts and methods of economics.
2 Acquires macro-economic analysis skills.
3 Acquire microeconomic analysis skills.
4 Understands the formulation and implementation of economic policies at local, national, regional and/or global levels.
5 Learn different approaches to the economy and economic issues.
6 Learn qualitative and quantitative research techniques in economic analysis.
7 Improving the ability to use modern software, hardware and/or other technological tools.
8 Develops intra-disciplinary and inter-disciplinary team work skills. X
9 Contributes to open-mindedness by encouraging critical analysis, discussion, and/or lifelong learning.
10 Develops a sense of work ethics and social responsibility.
11 Develops communication skills.
12 Improving the ability to effectively apply knowledge and skills in at least one of the following areas: Economic policy, public policy, international economic relations, industrial relations, monetary and financial relations

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