PSYCHOLOGY
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
PSY2097 Statistical Methods and Applications I Fall 2 2 3 6

Basic information

Language of instruction: English
Type of course: Must Course
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Assist. Prof. BAHAR TANYAŞ
Course Lecturer(s): Assist. Prof. BAHAR TANYAŞ
Recommended Optional Program Components: "."
Course Objectives: The course aims to introduce students to basic statistical concepts and calculations, namely, descriptive statistics, probability, statistical decision, population, sample and statistical inference, frequency distributions, measures of central tendency and variability, normal distributions and z-scores, and hypothesis testing. It guides students in understanding how to summarize large amounts of information efficiently and how to draw basic inferences.

Learning Outcomes

The students who have succeeded in this course;
1. Differentiate population parameters and sample statistics
2. Differentiate between descriptive and inferential statistics
3. Calculate basic descriptive statistics
4. Interpret the graphical representation of quantitative data
5. Recognize the critical importance of numerical analysis in quantitative psychological research and knowledge production.
6. Explain the basic rationale of hypothesis testing
7. Be able to use software for statistical calculations

Course Content

Starting with the basic concepts of statistics, the course covers fundamental topics such as frequency distributions, measures of central tendency and variability. Students will develop their statistical analysis skills with topics such as probability theory, normal distribution, sample means and hypothesis testing. The topics learned will be reinforced by midterm exams and general evaluations throughout the course.


The teaching methods of the course include lecture, reading, collaborative learning, problem solving, individual study as well as the other teaching methods.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Overview
2) Introduction to Statistics Chapter 1
3) Frequency distributions Chapter 2
4) Central Tendency Chapter 3
5) Variability Chapter 4
6) Overview Chapter 1,2,3,4
7) Z-Scores and standardized distributions Chapter 5
8) Midterm
9) Probability and normal distribution Chapter 6
10) Distribution of sample means Chapter 7
11) Overview Chapter 5,6,7
12) Introduction to hypothesis testing Chapter 8
13) Introduction to hypothesis testing Chapter 8
14) Review and discussion

Sources

Course Notes / Textbooks: Gravetter, F.J. & Wallnau, L.B.. Statistics for the Behavioral Sciences. (International Edition- 2012 or newer versions). Belmont, CA: Wadsworth.

References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 20
Midterms 1 % 40
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 13 2 26
Laboratory 13 2 26
Study Hours Out of Class 13 3 39
Midterms 2 15 30
Final 1 29 29
Total Workload 150

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To develop an interest in the human mind and behavior, to be able to evaluate theories using empirical findings, to understand that psychology is an evidence-based science by acquiring critical thinking skills. 3
2) To gain a biopsychosocial perspective on human behavior. To understand the biological, psychological, and social variables of behavior. 2
3) To learn the basic concepts in psychology and the theoretical and practical approaches used to study them (e.g. basic observation and interview techniques). 3
4) To acquire the methods and skills to access and write information using English as the dominant language in the psychological literature, to recognize and apply scientific research and data evaluation techniques (e.g. correlational, experimental, cross-sectional and longitudinal studies, case studies). 5
5) To be against discrimination and prejudice; to have ethical concerns while working in research and practice areas. 2
6) To recognize the main subfields of psychology (experimental, developmental, clinical, cognitive, social and industrial/organizational psychology) and their related fields of study and specialization. 2
7) To acquire the skills necessary for analyzing, interpreting and presenting the findings as well as problem posing, hypothesizing and data collection, which are the basic elements of scientific studies. 5
8) To gain the basic knowledge and skills necessary for psychological assessment and evaluation. 4
9) To acquire basic knowledge of other disciplines (medicine, genetics, biology, economics, sociology, political science, communication, philosophy, anthropology, literature, law, art, etc.) that will contribute to psychology and to use this knowledge in the understanding and interpretation of psychological processes. 3
10) To develop sensitivity towards social problems; to take responsibility in activities that benefit the field of psychology and society. 2
11) To have problem solving skills and to be able to develop the necessary analytical approaches for this. 5
12) To be able to criticize any subject in business and academic life and to be able to express their thoughts. 4