Experimental research
Goal: Become familiar with the key elements of the experimental research design and prepare your first experimental study plan!
Prepare for the lab
- Short introduction into key concepts in experimental research:
Materials
- Lecture: Experimental research methods
- Q&A Session. What is the difference between…
- qualitative and quantitative approaches?
- correlation and experiment?
- independent and dependent variables?
- between-subjects and within-subjects design?
- Practice Session – today you will work in groups of two/three/four/five to prepare your first (pre-registered) experimental study plan!
- Briefly describe the purpose (aim and objectives) of the study.
- What research questions are being answered?
- What hypotheses are being verified?
- List the independent, dependent, and confounding variables.
- For each variable, indicate whether it is quantitative or categorical and describe the operationalization of that variable.
- What is the procedure of the experiment? (devices, tasks, groups, …)
- A sample article from EEG research at JU with a well-described method as inspiration: Senderecka et al. - 2018 - Post-error Brain Activity Correlates With Incidental Memory for Negative Words
Learn more!
Physiological measurement of psychological variables
- Fairclough - 2009 - Fundamentals of physiological computing – A summary of the major issues related to the use of physiological measurement in HCI (psychophysiological inference, user state's representation, bio-cybernetic loop, ethics)
- Bach et al. - 2018 - Psychophysiological modeling. Current state and future directions – How to address the problem of inverse inference?
p-hacking
- John, Loewenstein, Prelec - 2012 - Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling – More than 2,000 scientists participated in a survey on questionable methodological practices.
- Simmons, Nelson, Simonsohn - 2011 - False-Positive Psychology – A subtitle is a good summary of the paper's topic: “Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant”
- Forstmeier, Wagenmakers, Parker - 2017 - Detecting and avoiding likely false-positive findings - a practical guide – a practical guide on “how statistical pitfalls and psychological traps lead to conclusions that are biased and unreliable, and how these mistakes can be avoided”
- Andrade - 2021 - HARKing, Cherry-Picking, P-Hacking, Fishing Expeditions, and Data Dredging (...) – a very short introduction to questionable research practices