ECTS - Statistical Applications in Psychology

Statistical Applications in Psychology (PSY318) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Statistical Applications in Psychology PSY318 Area Elective 2 2 0 3 5
Pre-requisite Course(s)
PSY102
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.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Gülçin Akbaş Uslu
Course Assistants
Course Objectives The course aims at teaching the statistical applications in psychology as well as theoretical background of each analysis.
Course Learning Outcomes The students who succeeded in this course;
  • Develop an understanding of why and how SPSS plays a role in students’ undergraduate education and in their future work
  • Master the basics of SPSS
  • Master data analysis in SPSS (i. e. t-test, correlation, regression, chi-square, univariate analysis)
  • Master the interpretation of findings of analysis in SPSS
  • Master how to write the findings in APA style
Course Content SPSS main menus, working with data, creating variables, and conducting various analyses such as t-test, univariate analysis, correlation, regression, chi-square and reliability analyses.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction
2 Introducing SPSS Chapter 1
3 Creating and Working with Data Files Chapter 2
4 Working with Data Chapter 3
5 Working with SPSS Charts and Outputs Chapter 4
6 Creating Variables and Computing Descriptives Chapter 5
7 T-Test Procedures Chapter 6
8 Univariate Analysis of Variance -I Chapter 7
9 Univariate Analysis of Variance- II Chapter 7
10 Correlation Procedures Chapter 8
11 Regression Procedures Chapter 8
12 Scaling Procedures Chapter 9
13 Non-parametric Procedures- I Chapter 10
14 Non-parametric Procedures- II Chapter 10
15 Review of Topics
16 Final Examination Period

Sources

Course Book 1. 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
Major Area Courses X
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 Have a comprehensive understanding of basic psychological perspectives and to examine the mental, affective, and behavioral processes of human beings within a scientific discipline
2 Have a knowledge about the historical and philosophical developments, basic concepts, applications and schools of science of psychology as well as the subfields of psychology such as clinical, experimental, social, developmental, industrial, health, traffic and educational psychology
3 Gain skills in identifying, describing, formulating, and solving the problems related to basic mental, emotional, and behavioral problems of human beings X
4 Develop new ideas through analytical, critical, and creative point of view by using abstract concepts and to gain skills in evaluating different psychological phenomena X
5 Gain knowledge and skills in transforming his/her theoretical knowledge into practice in different fields of psychology X
6 Have skills in accessing knowledge and using resources
7 Have knowledge about basic principles of psychological assessment along with various quantitative, qualitative, and experimental research methods, to have skills in designing and conducting research by using these methods, and analyzing, reporting, and presenting research data X
8 Have awareness of interpersonal sensitivity, societal processes and problems
9 Have efficient written and oral communication skills in Turkish and English X
10 Gain skills in following the developments in the field of expertise and renewing himself/herself with an awareness of life-span learning
11 Have professional and ethical responsibility, knowledge, and awareness

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 2 32
Laboratory
Application 16 2 32
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report
Homework Assignments 1 10 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 15 15
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 136