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THEORETICAL STATISTICS IN PSYCHOLOGY PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
PSY224 THEORETICAL STATISTICS IN PSYCHOLOGY 4 3 3 7

GENERAL INFORMATION

Language of Instruction : English
Level of the Course Unit : BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course : Compulsory
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit Assist.Prof. SELCEN YETKİN ÖZDEN
Instructor(s) of the Course Unit Assist.Prof. BİROL BAYSAK
Course Prerequisite No

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: The aim of this course is to introduce statistics to psychology students not merely as a set of computational techniques, but as a fundamental scientific language for understanding and interpreting psychological phenomena. Throughout the course, students develop skills in organizing, describing, analyzing, and interpreting psychological data, with particular emphasis on the psychological meaning, limitations, and potential misinterpretations of statistical results. The course aims to enable students to critically evaluate psychological research and to apply appropriate statistical methods consciously in their own research projects
Contents of the Course Unit: This course covers fundamental statistical concepts used in psychology, including descriptive and inferential statistical methods and their applications in psychological research. The content includes the presentation of data using tables and graphs, measures of central tendency and variability, probability and sampling logic, hypothesis testing, statistical significance, t tests, analysis of variance (ANOVA), correlation, regression, chi-square tests, and the general linear model approach. Throughout the course, particular emphasis is placed on interpreting statistical findings within a psychological context and their relationship to research ethics.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Define fundamental statistical concepts and terminology used in psychology. Organize and present psychological data using appropriate tables and graphical representations. Calculate and interpret measures of central tendency and variability within a psychological context. Explain the relationship between population and sample and the basic logic of inferential statistics. Formulate appropriate statistical hypotheses based on psychological research questions. Evaluate the logic, assumptions, and limitations of hypothesis testing. Select and apply appropriate statistical techniques, including t tests, analysis of variance (ANOVA), correlation, regression, and chi-square tests. Distinguish between statistical significance, effect size, and practical significance. Interpret statistical results in relation to psychological theories and research contexts. Critically evaluate quantitative research findings in the field of psychology. Recognize potential misinterpretations of statistical results and assess them within an ethical framework. Apply appropriate statistical methods consciously and responsibly in their own research projects.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 students are expected to review the relevant chapters Displaying the Order in a Group of Numbers Using Tables and Graphs The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
2 students are expected to review the relevant chapters Central Tendency and Variability The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
3 students are expected to review the relevant chapters Some Key Ingredients for Inferential Statistics The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
4 students are expected to review the relevant chapters Introduction to Hypothesis Testing The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
5 students are expected to review the relevant chapters Hypothesis Tests with Means of Samples The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
6 students are expected to review the relevant chapters Making Sense of Statistical Significance The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
7 students are expected to review the relevant chapters Introduction to t Tests The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
8 students are expected to review the relevant chapters The t Test for Independent Means The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
9 students are expected to review the relevant chapters Introduction to the Analysis of Variance (ANOVA) The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
10 - MID-TERM EXAM -
11 students are expected to review the relevant chapters Factorial Analysis of Variance The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
12 students are expected to review the relevant chapters Correlation The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
13 students are expected to review the relevant chapters Prediction The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
14 students are expected to review the relevant chapters Chi-Square Tests The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
15 students are expected to review the relevant chapters Overview of the Logic and Language of Psychology Research & Integration The course is conducted through theoretical instruction and application-based learning. Statistical concepts are presented using examples from psychology and interpreted within a psychological context.
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

Statistics for Psychology. Pearson Education.

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description Examination Method
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Use information sources, including the most effective methods and current information related to psychology and auxiliary disciplines at a high level. (Bloom 3)
4
2
Identify problems in psychology and produce solutions. (Blooms 3)
3

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Distinguish normal and abnormal behaviors. (Blooms 2)
1
2
Interpret and report psychology research. (Bloom 3)
4

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Establish connections between psychology and other social sciences. (Bloom 4)
3

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Apply psychological tests. (Bloom 3).
1
2
Gain knowledge and skills about contemporary psychology theories and integrate this knowledge and skills to help individuals. (Bloom 6)
2
3
Conduct various experiments in the field of psychology. (Bloom 6)
2

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Collaborate with the necessary institutions and individuals in the field studies. (6)
1

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Integrate developments in psychology with existing knowledge. (Blooms 6)
3
2
Scientifically analyze human behavior. (Bloom 4)
4

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Express his/her knowledge and thoughts about the field in a fluent and understandable manner both written and verbally. (Bloom 2)
2
2
Recognize the individual, national and universal influences of problems in the field of psychology
2

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Integrate the knowledge of computer software, hardware and statistics required by the field of psychology. (blooms 6)
4
2
Survey the developments in information and communication technologies. (Bloom 4)
2
3
Support social projects related to psychology. (Blooms 5)
1

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities

Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 14 6 84
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 14 2 28
Assignment (Homework) 0 0 0
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 2 1 2
Preparation for the Final Exam 2 6 12
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 1 6 6
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 48 0 175
Total Workload of the Course Unit 175
Workload (h) / 25.5 6,9
ECTS Credits allocated for the Course Unit 7,0