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Cited by 277

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

A snapshot of creativity: Evaluating a quick and simple method for assessing divergent thinking

Open access
Silvia, Paul J., Martin, Christopher, Nusbaum, Emily C.·2009·Thinking Skills and Creativity

Abstract

Creativity assessment commonly uses open-ended divergent thinking tasks. The typical methods for scoring these tasks (uniqueness scoring and subjective ratings) are time-intensive, however, so it is impractical for researchers to include divergent thinking as an ancillary construct. The present research evaluated snapshot scoring of divergent thinking tasks, in which the set of responses receives a single holistic rating. We compared snapshot scoring to top-two scoring, a time-intensive, detailed scoring method. A sample of college students (n = 226) completed divergent thinking tasks and measures of personality and art expertise. Top-two scoring had larger effect sizes, but snapshot scoring performed well overall. Snapshot scoring thus appears promising as a quick and simple approach to assessing creativity.

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Metadata

Authors
Silvia, P. J., Martin, C., & Nusbaum, E. C.
Venue
Thinking Skills and Creativity
Publisher
Elsevier BV
Published
2009-08
Volume
4
Issue
2
Pages
79-85
ISSN
1871-1871 (ISSN-L)
OpenAlex
W2082350726
Cited by
277
References
44
FWCI
8.03
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A snapshot of creativity: Evaluating a quick and simple method for assessing divergent thinking. https://app.cochat.ai/papers/10.1016/j.tsc.2009.06.005
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Silvia, P. J., Martin, C., & Nusbaum, E. C. (2009). A snapshot of creativity: Evaluating a quick and simple method for assessing divergent thinking. Thinking Skills and Creativity. https://doi.org/10.1016/j.tsc.2009.06.005

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.