# 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 N/A Bachelor’s Degree (First Cycle) Face To Face Lecture, Drill and Practice. The course aims at teaching multivariate statistics in psychology as well as theoretical background of each analysis. 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 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 40 100

### Course Category

Core Courses X

### The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 To 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 To 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 To gain skills in identifying, describing, formulating, and solving the problems related to basic mental, emotional, and behavioral problems of human beings X
4 To 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 To gain knowledge and skills in transforming his/her theoretical knowledge into practice in different fields of psychology X
6 To have skills in accessing knowledge and using resources
7 To 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 To have awareness of interpersonal sensitivity, societal processes and problems
9 To have efficient written and oral communication skills in Turkish and English X
10 To gain skills in following the developments in the field of expertise and renewing himself/herself with an awareness of life-span learning
11 To 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 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