ArticleJournal of Intelligence2025
Small Samples, Big Insights: A Methodological Comparison of Estimation Techniques for Latent Divergent Thinking Models.
Article in Journal of Intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- "Robust" but Tiny: Methodological Influences and Inter-Individual (Un)Stability of the Serial Order Effect in Creativity.Journal of Intelligence · 2026Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
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 frequentist confirmatory factor analysis (CFA), which depends on larger samples for reliable estimation. Problems such as non-convergence, inadmissible parameters, and poor model fit are more likely. In contrast, Bayesian methods offer a robust alternative, being less sensitive to sample size and allowing the integration of prior knowledge through parameter priors. In the present study, we introduce small-sample-size structural equation modeling to creativity research by investigating the relationship between creative fluency and nested creative cleverness with right-wing authoritarianism, starting with a sample size of
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Registered trials
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