Experimental Design in Cognitive Psychology | Course Guide by Prof. Ark Verma
Course Details
| Exam Registration | 236 |
|---|---|
| Course Status | Ongoing |
| Course Type | Core |
| Language | English |
| Duration | 8 weeks |
| Categories | Humanities and Social Sciences |
| Credit Points | 2 |
| Level | Undergraduate/Postgraduate |
| Start Date | 16 Feb 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 16 Feb 2026 |
| Exam Registration Ends | 27 Feb 2026 |
| Exam Date | 24 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Mastering the Blueprint: A Guide to Experimental Design in Cognitive Psychology
How do we scientifically probe the inner workings of the human mind? The answer lies in rigorous experimental design. For students and researchers in cognitive psychology and cognitive science, designing a valid, reliable, and ethical experiment is the cornerstone of generating meaningful knowledge. This article outlines a comprehensive 8-week journey through the Basics of Experimental Design for Cognitive Psychology, structured around a detailed course led by an expert in the field.
Your Instructor: Prof. Ark Verma
This conceptual journey is guided by the expertise of Prof. Ark Verma, an Associate Professor in the Department of Cognitive Sciences at IIT Kanpur. Prof. Verma brings a rich academic background to the subject:
- Educational Path: B.A. (Psychology & English Literature) and M.A. (Cognitive Science) from the University of Allahabad, followed by a Ph.D. in Psychology from Universiteit Gent, Belgium.
- Research Focus: His work spans lateralisation of cognitive functions, visual word recognition, social cognition, social neuroscience, and bilingualism.
- Course Level: Designed for Undergraduate and Postgraduate students (Masters/PhD) in Psychology, Cognitive Psychology, and Cognitive Science.
Course Overview: What You Will Learn
This 8-week program is meticulously crafted to transform your understanding of how to structure research in cognitive sciences. It moves from foundational principles to the application of design in advanced neuroimaging techniques.
Week-by-Week Course Layout
| Week | Core Topic | Key Focus Areas |
|---|---|---|
| Week 1 | Basics of Measurement | Understanding scales, reliability, validity, and operational definitions in behavioral sciences. |
| Week 2 | Types of Research Designs | Comparing Naturalistic, Survey, Case-Studies, Correlational, and true Experimental methods. |
| Week 3 | Nuances of Experimental Designs | Deep dive into Factorial Designs (e.g., 2x2 designs), main effects, and interactions. |
| Week 4 | Building an Experiment | Critical choices in Stimuli Selection, Participant Sampling, and Task Design. |
| Week 5 | Hypothesis Testing & Interpretation | Formulating hypotheses, understanding statistical inference, and interpreting experimental results. |
| Week 6 | Designs in Eye-Tracking | Designing studies for gaze patterns, areas of interest (AOIs), and temporal dynamics of visual processing. |
| Week 7 | Designs in EEG/ERP | Event-Related Potential design: timing, epochs, baseline correction, and dealing with electrical noise. |
| Week 8 | Designs in fMRI | Block vs. Event-Related designs, hemodynamic response, and spatial localization of brain activity. |
Why This Knowledge is Essential
A flaw in your experimental design can invalidate your results, no matter how sophisticated your analysis. This course emphasizes:
- From Concept to Method: Translating a research question into a testable experimental setup.
- Control and Validity: Learning to control confounding variables to ensure internal and external validity.
- Tool-Specific Design: Understanding that methods like EEG, fMRI, and eye-tracking have unique design constraints and opportunities.
Recommended Textbooks for Deep Dives
To supplement the course material, Prof. Verma recommends these authoritative texts:
- Cunningham & Wallraven (2012): Experimental Design: From User Studies to Psychophysics – Excellent for practical, hands-on design principles.
- Abdi, Edelman, Valentin & Dowling (2009): Experimental Design and Analysis for Psychology – A strong link between design and statistical analysis.
- Stangor (2011): Research Methods for the Behavioral Sciences – A comprehensive overview of the entire research process.
Who Should Embark on This Learning Path?
This course is ideally suited for Masters and PhD students in Psychology, Cognitive Psychology, and Cognitive Science who are preparing to conduct their own empirical research. It provides the critical framework needed to design studies that are not just doable, but scientifically robust and meaningful.
By mastering these basics, you equip yourself with the most important tool in a researcher's kit: the ability to ask questions about the mind in a way that the empirical world can answer clearly and convincingly.
Enroll Now →