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Small Samples, Big Insights: A Methodological Comparison of Estimation Techniques for Latent Divergent Thinking Models

In psychology, small sample sizes are a frequent challenge—particularly when studying specific expert populations or using complex and cost-intensive methods like human scoring of creative answers—as they reduce statistical power, bias results, and limit generalizability. They also hinder the use of...

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Principais autores: Selina Weiss, Lara S. Elmdust, Benjamin Goecke
格式: Artigo
语言:Inglês
出版: MDPI AG 2025-11-01
丛编:Journal of Intelligence
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在线阅读:https://www.mdpi.com/2079-3200/13/11/150
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