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Boosting Political Science Experiments with an Easy Motivation Technique
Insights from the Field
seriousness technique
experiment motivation
student experiments
political science
Methodology
R&P
2 Stata files
Dataverse
Serious Subjects: A Test of the Seriousness Technique to Increase Participant Motivation in Political Science Experiments was authored by A. Burcu Bayram. It was published by Sage in R&P in 2018.

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What This Study Does: Introduces a new technique to enhance participant motivation in political science experiments.

This study tackles the persistent issue of low or no-cost intervention methods that can boost engagement without sacrificing research integrity. Feeling unmotivated is a common problem among participants, especially students, which threatens the authenticity and reliability of experimental results. The authors propose "seriousness" as an unexpected solution: simply informing student subjects about their crucial role in advancing political science knowledge.

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How It Was Done: Testing effectiveness through controlled experiments.

Researchers conducted a computer-assisted foreign policy decision-making experiment with students. They systematically applied the seriousness technique, explaining its importance to participants before they began the task. This was contrasted against standard conditions where no such explanation was given. The study carefully measured changes in two key areas related to motivation: time invested and quality of information processing during simulation.

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Key Findings: Increased engagement leads to more thorough participation.

Results clearly showed that participants exposed to the seriousness technique demonstrated significantly higher levels of commitment compared to others. They accessed more relevant information within the foreign policy simulation and spent noticeably longer completing the task overall. These findings suggest a powerful, low-cost method for improving experimental quality using student subjects.

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Why It Matters: Implications across political science research methods.

This straightforward approach has broad implications beyond just experimenters who use students samples. The technique represents an effective way to combat what researchers call "experiment fatigue" or declining engagement in tasks requiring cognitive effort. Its success indicates that simply framing participation as valuable for scientific progress could enhance data quality across various quantitative social science research methods involving human subjects.

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