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Automating the Generation and Documentation of Experimental Designs with Natural Language Processing

2023-11-30

Abstract excerpt

<p>Rigorous experimental design is crucial for reproducible empirical research. However, constructing counterbalanced experimental sequences is challenging and subject to human sampling bias. Worse still, documenting experimental design is time-consuming and error-prone, making the replication of experiments difficult or impossible. To address these issues, we introduce and evaluate an open-source method for autom...

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Literature Corpus work
190f2173-d806-56f5-893c-4a74170c39b6
DOI
10.31234/osf.io/2xk7t
Open publication

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Automating the Generation and Documentation of Experimental Designs with Natural Language ProcessingDOI 10.31234/osf.io/2xk7t
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