ncements may allow for greater customization of
synthetic respondents, capturing more complex demographic variables and
behavioral patterns. For instance, by enhancing the ability to simulate
specific professions, backgrounds, or even emotional states, synthetic
data could evolve into a robust tool for experimental pretesting in
fields beyond survey research, such as behavioral economics, political
polling, and educational assessment.</p>
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