PSY531 Advanced Research Methods and Statistics
PSY531 Advanced Research Methods and Statistics
Syllabus | International University of Sarajevo - Last Update on Oct 10, 2025
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Psychology
Orkun Aydin
Course Lecturer
Course Objectives
This course is designed to develop and sharpen your academic and professional writing skills and strategies in clinical psychology field. Our global aims encompass cultivating selected print and digital literacies necessary for successful written communication in academic, professional, and workplace settings where you may interact with fellow experts in medicine and related scientific disciplines. Although the primary aim of this course involves helping you build your proficiency and confidence as an academic manuscript writer of psychological studies, we will also devote time and effort to improving your reading, critical reasoning, and research skills as well as learning and performing advanced statistical methods.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
1. Shelley H. Carson. 2012 Writing for Psychology, A guide for psychology concentrators. Harvard College Publications.
Additional Literature
2. Hugh Coolican, 2019, Research Methods and Statistics in Psychology, 7th edition. Routledge Publishing.Teaching Methods
Class will entail lectures
Discussions
And practice exercises for guided concept learning and for feedback on progress toward the mastery of class objectives.
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Psychology, science and research | Textbook 1 |
| 2 | Measuring people – variables, samples and the qualitative critique | Textbook 1 |
| 3 | Experiments and experimental designs in psychology | Textbook 1 |
| 4 | Validity in psychological research | Textbook 1 |
| 5 | Psychological tests and measurement scales | Textbook 2 |
| 6 | Analysing data and writing reports | Textbook 2 |
| 7 | Drafting the report | Textbook 2 |
| 8 | Midterm Exam | |
| 9 | Significance testing – was it a real effect? | Textbook 2 |
| 10 | Testing for differences between two samples | Textbook 2 |
| 11 | Correlation, regression and multiple regression | Textbook 2 |
| 12 | Multi-level analysis – differences between more than two conditions (ANOVA) | Textbook 2 |
| 13 | Planning your practical and writing up your report | Textbook 2 |
| 14 | Do's and Don'ts in academic writing | Textbook 1 |
| 15 | Publishing guidelines | Textbook 1 |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| PSY531.1 | Course | Thursday 17:00 - 19:50 | A F1.23 | - | - |
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Monday | 09:00 - 15:00 | A B.1 | |
| Wednesday | 09:00 - 12:00 | A B.1 | |
| Thursday | 09:00 - 15:00 | A B.1 | |
| Friday | 09:00 - 11:00 | A B.1 |
Assessment Methods and Criteria
Assessment Components
Final report defense
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Midterm exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Research proposal
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
IUS Grading System
| Grading Scale | IUS Grading System | IUS Coeff. | Letter (B&H) | Numerical (B&H) |
|---|---|---|---|---|
| 0 - 44 | F | 0 | F | 5 |
| 45 - 54 | E | 1 | ||
| 55 - 64 | C | 2 | E | 6 |
| 65 - 69 | C+ | 2.3 | D | 7 |
| 70 -74 | B- | 2.7 | ||
| 75 - 79 | B | 3 | C | 8 |
| 80 - 84 | B+ | 3.3 | ||
| 85 - 94 | A- | 3.7 | B | 9 |
| 95 - 100 | A | 4 | A | 10 |
Late Work Policy
Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.
ECTS Credit Calculation
📚 Student Workload
This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:
Lecture
45 hours ⏳ (15 week × 3 h)
Midterm report
30 hours ⏳ (6 week × 5 h)
Assignment
15 hours ⏳ (5 week × 3 h)
Final report
60 hours ⏳ (15 week × 4 h)
150 Total Workload Hours
6 ECTS Credits
Course Policies
Academic Integrity
All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.
Attendance Policy
Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.
Technology & AI Policy
Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.
Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.
Communication Policy
All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [PSY531] in the subject line.
Academic Quality Assurance Policy
Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.
Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.
Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.
Syllabus Last Updated on Oct 10, 2025 | International University of Sarajevo
Print Syllabus
Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| PSY531 | Advanced Research Methods and Statistics | 3 | 0 | 6 | Thursday 17:00-19:50 | |||||
| Prerequisite | PSY105 | It is a prerequisite to | - | |||||||
| Lecturer | Orkun Aydin | Office Hours / Room / Phone | Monday: 9:30-15:00 Wednesday: 9:30-12:00 Thursday: 9:00-15:00 Friday: 9:30-11:00 |
|||||||
| oaydin@ius.edu.ba | ||||||||||
| Assistant | N/A | Assistant E-mail | N/A@ius.edu.ba | |||||||
| Course Objectives | This course is designed to develop and sharpen your academic and professional writing skills and strategies in clinical psychology field. Our global aims encompass cultivating selected print and digital literacies necessary for successful written communication in academic, professional, and workplace settings where you may interact with fellow experts in medicine and related scientific disciplines. Although the primary aim of this course involves helping you build your proficiency and confidence as an academic manuscript writer of psychological studies, we will also devote time and effort to improving your reading, critical reasoning, and research skills as well as learning and performing advanced statistical methods. |
|||||||||
| Textbook | 1. Shelley H. Carson. 2012 Writing for Psychology, A guide for psychology concentrators. Harvard College Publications. | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Class will entail lectures, discussions, and practice exercises for guided concept learning and for feedback on progress toward the mastery of class objectives. | |||||||||
| Teaching Method Delivery | Hybrid / blended | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Psychology, science and research | Textbook 1 | ||||||||
| Week 2 | Measuring people – variables, samples and the qualitative critique | Textbook 1 | ||||||||
| Week 3 | Experiments and experimental designs in psychology | Textbook 1 | ||||||||
| Week 4 | Validity in psychological research | Textbook 1 | ||||||||
| Week 5 | Psychological tests and measurement scales | Textbook 2 | ||||||||
| Week 6 | Analysing data and writing reports | Textbook 2 | ||||||||
| Week 7 | Drafting the report | Textbook 2 | ||||||||
| Week 8 | Midterm Exam | |||||||||
| Week 9 | Significance testing – was it a real effect? | Textbook 2 | ||||||||
| Week 10 | Testing for differences between two samples | Textbook 2 | ||||||||
| Week 11 | Correlation, regression and multiple regression | Textbook 2 | ||||||||
| Week 12 | Multi-level analysis – differences between more than two conditions (ANOVA) | Textbook 2 | ||||||||
| Week 13 | Planning your practical and writing up your report | Textbook 2 | ||||||||
| Week 14 | Do's and Don'ts in academic writing | Textbook 1 | ||||||||
| Week 15 | Publishing guidelines | Textbook 1 | ||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final report defense | 1 | 40 | 1, 2, 3, 4, 5 | Not Allowed | |
| Semester Evaluation Components | |||||
| Midterm exam | 1 | 30 | 1, 2, 3, 4, 5 | Not Allowed | |
| Research proposal | 1 | 30 | 1, 2, 3, 4, 5 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture | 3 | 15 | 45 | Midterm report | 5 | 6 | 30 | |||
| Assignment | 3 | 5 | 15 | Final report | 4 | 15 | 60 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 29/10/2025 | |||||||||