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
PSY2098 Statistical Methods and Applications II Spring 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 : Dr. Öğr. Üyesi BAHAR TANYAŞ
Course Lecturer(s): Dr. Öğr. Üyesi BAHAR TANYAŞ
Dr. Öğr. Üyesi BEYZA TEPE COMOGLU
Recommended Optional Program Components: "."
Course Objectives: At the end of the course, successful students should be able to:
• Apply and interpret results of following statistical tests: t-tests, ANOVA, correlation, regression and chi-square
• Be able to identify appropriate statistical test to use for a range of data sets.

Learning Outcomes

The students who have succeeded in this course;
Students will be able to;
Identify research designs suitable for analysis using dependent or independent samples t-tests and implement and interpret t-tests using SPSS software
Identify research designs suitable for analysis using various ANOVA designs and implement and interpret simple ANOVAs using SPSS software.
Estimate confidence intervals.
Identify research designs suitable for analysis using correlation and regression, implement and interpret correlation and regression analyses using SPSS software
Identify research situations for which use of non-parametric tests is appropriate, implement and interpret Chi-square analyses using SPSS software

Course Content

1. t-tests for related and independent samples
2. estimation
3. ANOVA
4. correlation and regression
5. non-parametric tests
6. chi-square

Weekly Detailed Course Contents

Week Subject Related Preparation
1) T-tests for related and independent samples
2) Estimation
3) Estimation
4) ANOVA
6) ANOVA
7) ANOVA
8) ANOVA
9) Correlation and Regresion
10) Correlation and Regression
11) Correlation and Regression
12) Non-Parametric Statistics
13) Non Parametric Statistics
14) Review of material covered in course + practice exam

Sources

Course Notes / Textbooks: Gravetter F & Wallnau L. (2011) Essentials of Statistics for the Behavioral Sciences (7th ed. Wadsworth)
References: Powerpoint slides will be sued to supplement reading from text book

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 2
Laboratory 14 % 3
Midterms 2 % 50
Final 1 % 45
Total % 100
PERCENTAGE OF SEMESTER WORK % 55
PERCENTAGE OF FINAL WORK % 45
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 28
Laboratory 14 28
Study Hours Out of Class 14 84
Midterms 2 2
Final 1 2
Total Workload 144

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) Develop close interest in human mind and behavior, and attain critical thinking skills (in particular the ability to evaluate psychological theories using empirical evidence), as well as appreciating psychology as an evidence based science. 3
2) Gain a biopsychosocial understanding of human behavior, namely, the biological, psychological, social determinants of behavior. 2
3) Acquire theoretical and applied knowledge and learn about basic psychological concepts and perspectives 1
4) Familiarize with methodology and data evaluation techniques by being aware of scientific research methods (i.e. correlational, experimental, longitudinal, case study). 5
5) Employ ethical sensitivity while doing assessment, research or working with groups. 1
6) Familiarize with the essential perspectives of psychology (cognitive, developmental, clinical, social, behavioral, and biological).
7) Get the opportunity and skills to evaluate qualitative and quantitative data, write reports, and present them. 5
8) Attain preliminary knowledge for psychological measurement and evaluation. 2
9) To have a basic knowledge of other disciplines (e.g. sociology, history, political science, communication studies, philosophy, anthropology, literature, law, art, etc) that can contribute to psychology and to be able to make use of this knowledge in understanding and interpreting of psychological process.