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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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Autors principals: Selina Weiss, Lara S. Elmdust, Benjamin Goecke
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2025-11-01
Col·lecció:Journal of Intelligence
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Accés en línia:https://www.mdpi.com/2079-3200/13/11/150
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