PSY202 Research Methods in Psychology


PSY202 Research Methods in Psychology

Syllabus   |  International University of Sarajevo  -  Last Update on Sep 09, 2026

Referencing Curricula

HOSTED BY

Psychology

Academic Year
2026 - 2027
Semester
Fall
Course Code
PSY202
Weekly Hours
2 Teaching + 1 Practice
ECTS
6
Prerequisites
Teaching Mode Delivery
Face-to-face
Prerequisite For
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Mersiha Jusić

Course Lecturer

Position
Assistant Professor Dr.
Phone
033 957 425
Assistant(s)
-
Assistant E-mail

Course Objectives

This course introduces students to the logic and practice of psychological research. Students examine science as a way of knowing, ethical requirements, observational and survey methods, experimental and quasi-experimental designs, introductory data analysis, and the communication of research. Throughout the semester, students develop a research proposal that integrates conceptual, methodological, ethical, and analytical decisions.

Learning Outcomes

After successful completion of the course, the student will be able to:

1
Explain the defining characteristics and goals of psychological science and distinguish scientific approaches to knowledge from everyday reasoning.
2
Formulate focused research questions and testable hypotheses grounded in psychological theory and previous research.
3
Identify major ethical issues in psychological research and propose appropriate measures to protect participants and maintain research integrity.
4
Compare observational, survey, experimental, quasi-experimental, and single-case research methods, and select an appropriate design for a given psychological research question.
5
Operationally define psychological variables, evaluate basic measurement quality, and identify common threats to the internal and external validity of research findings.
6
Develop and orally present a coherent psychological research proposal that integrates the research question, hypotheses, sampling, measurement, design, ethics, and proposed data-analysis strategy.

Course Materials

Required Textbook

Shaughnessy, J. J., Zechmeister, E. B., & Zechmeister, J. S. (2015). Research methods in psychology (10th ed.). McGraw-Hill Education.

Additional Literature
Coolican, H. (2004). Research methods and statistics in psychology (4th ed.). Hodder Education. Goodwin, J.C. (2008). Research in Psychology- Methods and Design (5th ed.) Wiley

Teaching Methods

Lectures combined with class discussions with examples
Active learning through demonstrations and group work on relevant tasks in the classroom

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Introduction to the Course.
2 Psychology as a Science. Thinking Like a Researcher. Shaughnessy et al., Ch. 1
3 📍 The Scientific Method: Questions, Concepts, and Hypotheses. Shaughnessy et al., Ch. 2
4 Ethics in Psychological Research. Shaughnessy et al., Ch. 3
5 Observational Methods. Shaughnessy et al., Ch. 4
6 Survey Research and Sampling. Shaughnessy et al., Ch. 5
7 Experiments and Independent-Groups Designs. Shaughnessy et al., Ch. 6
8 MIDTERM EXAM relevant chapters from the textbook, articles
9 Repeated Measures and Complex Designs. Shaughnessy et al., Ch. 7
10 Single-Case Research Designs. Shaughnessy et al., Ch. 9
11 Quasi-Experimental Designs and Program Evaluation. Shaughnessy et al., Ch. 10
12 Qualitative Approaches. Coolican, Chapters 9 and 19
13 Communicating Psychological Research. Shaughnessy et al., Ch. 13
14 Research Projects Presentations. relevant chapters from the textbook, articles
15 Research Projects Presentations. relevant chapters from the textbook, articles

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
PSY202.1 Course Monday 09:00 - 11:50 A F1.26 - -

Office Hours & Room

DayTimeOfficeNotes
Monday 12:00 - 14:00 B F1.15
Friday 11:00 - 13:00 B F1.15

Assessment Methods and Criteria

Assessment Components

40%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4  5  6

25%x1
Midterm Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4  5

25%x1
Research Project Proposal and Presentation
AI: Not Allowed

Alignment with Learning Outcomes :  2  3  4  5  6

10%x1
Glossary Quiz
AI: Not Allowed

Alignment 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 Hours

28 hours ⏳ (14 week × 2 h)

Assignments and quiz

20 hours ⏳ (4 week × 5 h)

Active Tutorials

14 hours ⏳ (14 week × 1 h)

Home Study

14 hours ⏳ (14 week × 1 h)

In-term Exam Study

24 hours ⏳ (2 week × 12 h)

Final Exam Study

30 hours ⏳ (2 week × 15 h)

Assignment

20 hours ⏳ (2 week × 10 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 [PSY202] 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.

More info

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

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.

Think Critically in Assignments

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.

Ask Questions Early

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 Sep 09, 2026 | International University of Sarajevo

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