PhD in Applied Psychology
PhD	TR-NQF-HE: Level 8	QF-EHEA: Third Cycle	EQF-LLL: Level 8

General course introduction information

Course Code:

UPSK605

Course Name:

Advanced Statistics

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
5		5	20

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

PhD

TR-NQF-HE:8. Master`s Degree

QF-EHEA:Third Cycle

EQF-LLL:8. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. ARİF HALDUN SOYGÜR

Course Lecturer(s):

Dr.Öğr.Üyesi AHMET SAPANCI

Course Assistants:

Course Objective and Content

Course Objectives:

To teach the basic information about statistical methods used in the field of psychology: In this course, it is aimed that students will be able to make appropriate analyzes and report their findings by working on sample research problems from various fields of psychology and data sets suitable for measurement problems. For this purpose, the students' learning of various analyzes that can be carried out with the SPSS program within the scope of the course, their ability to apply them to problems from the field of psychology by using the research planning and statistical information they have obtained from the statistics and research methods they have taken before, and to draw conclusions constitute the main study area of the course.

Course Content:

Within the scope of this course, basic information about statistical methods used in the field of psychology is taught. In addition, students are informed about the following statistical tests: Inferential statistics, hypothesis tests, statistical decision making, univariate and bivariate hypothesis tests, analysis of variance, correlation, regression, selected nonparametric tests. In addition to the underlying elements of these tests, students will also learn to apply these tests in the SPSS statistical program.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Can distinguish and correctly design variables used in a research.
2 - Skills
Cognitive - Practical
1) Explain the features of inferential statistics and use different test statistical methods.
2) Can correctly use, interpret and report statistics with one or more independent variables in different research problems.
3) Can evaluate the homogeneity of the scale items and develop simple scales with high internal consistency by performing item analysis.
4) Will be able to express the basic statistical methods conceptually and numerically.
5) Will be able to apply appropriate statistical technique to psychological data correctly.
3 - Competences
Communication and Social Competence
Learning Competence
1) Uses APA style in research projects and reports.
2) Will be able to express statistical analyzes and results clearly, both verbally and in writing.
Field Specific Competence
1) Will be able to understand the logic of statistics applied in psychology research and describe the basic concepts.
2) Will be able to correctly interpret the findings obtained in the analysis of psychological data.
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Introduction to research methods in psychology and review of SPSS. The logic of scientific research, the definition, function and necessity of statistics in psychology: Descriptive-Descriptive and Inferential Statistics	Büyüköztürk,Ş., Çokluk,Ö. & Köklü,N.(2011). Statistics for social sciences, Pegem Academy, Ankara.
2)	Correlation and simple linear regression	J. & Aron, E. N. (2013). Statistics for Psychology (6th Edition). Pearson
3)	Normal distribution, Inferential statistics, Hypothesis testing	Bluman, A. G. (2014). Elementary statistics: A step by step approach (9th ed.). NY: McGraw-Hill.
4)	Introduction to hypothesis testing	Field, A. (2009). Discovering statistics using SPSS (3rd ed). Sage
5)	Hypothesis testing, Experimental designs, Homework disconnected sample-tests	Lecturer lecture and application in spss program
6)	Unconnected sample t-tests	Lecturer lecture and application in spss program
7)	Linked-sample t-tests	Lecturer lecture and application in spss program
8)	Linked sample and single sample t-tests -QUIZ	Lecturer lecture and application in spss program
9)	MIDTERM	None
10)	One-way analysis of variance	Lecturer lecture and application in spss program
11)	One-way analysis of variance applications	Lecturer lecture and application in spss program
12)	Introduction to factorial ANOVA	Lecturer lecture and application in spss program
13)	Factorial ANOVA' RESEARCH METHODS DELIVERY	Lecturer lecture and application in spss program
14)	Linked samples One-Way ANOVA	Lecturer lecture and application in spss program

Sources

Course Notes / Textbooks:

Öğretim görevlisi anlatımı ve spss programında uygulama

References:

İyilikçi, O. (2020) Psikologlar için SPSS ve Araştırma Desenleri. Nobel Akademik Yayıncılık.
Büyüköztürk, Ş., Çokluk, Ö. Köklü, N. (2015) Sosyal Bilimler İçin İstatistik. Pegem Yayıncılık
Büyüköztürk,Ş.,Çokluk,Ö.& Köklü,N.(2011). Sosyal bilimler için istatistik, Pegem Akademi, Ankara.
J. & Aron, E. N. (2013). Statistics for Psychology (6th Edition). Pearson
Bluman, A. G. (2014). Elementary statistics: A step by step approach (9th ed.). NY: McGraw-Hill.
Field, A. (2009). Discovering statistics using SPSS (3rd ed). Sage

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	7	8	5	10	6	9
Program Outcomes
1) At the end of the progam the graduates will reach a competent level in interview techniques, psychological assessment, and Problem-Solving Therapy, which involve intensive clinical practice.
2) The program will train experts who know the scientific method within the framework of balanced science and practice, are well-versed in evidence-based psychotherapy models, and are competent in psychological evaluation.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	At the end of the progam the graduates will reach a competent level in interview techniques, psychological assessment, and Problem-Solving Therapy, which involve intensive clinical practice.	5
2)	The program will train experts who know the scientific method within the framework of balanced science and practice, are well-versed in evidence-based psychotherapy models, and are competent in psychological evaluation.	5

Learning Activity and Teaching Methods

Brainstorming/ Six tihnking hats
Individual study and homework
Lesson
Homework
Problem Solving
Q&A / Discussion
Application (Modelling, Design, Model, Simulation, Experiment etc.)
Case Study
Web Based Learning

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Observation

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	2	% 10
Homework Assignments	2	% 20
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	20	280
Homework Assignments	2	2	4
Midterms	1	1	1
Final	1	1	1
Total Workload			286