An improved taxonomy of creativity measures based on salient task attributes.

Weiss, Selina; Wilhelm, Oliver; Kyllonen, Patrick C.

doi:10.1037/aca0000434

Cited by 28 publications

(29 citation statements)

References 188 publications

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“…For instance, according to the National Center on the Gifted and Talented, there are more than 100 techniques [3], 72 tests to evaluate the creativity by the center for creative learning, CLL [23] and Cropley [24] stated that there are at least 255 creativity tests in the literature [25]. According to Weiss, Wilhelm & Kyllonen [26], there are 228 identified creativity measures appearing in the literature since 1900. The many competing and complementary creativity tests in the field make it difficult for potential users to decide on their appropriateness.…”

Section: The Potential That Humanity Has and Cannot Be Defined: Creat...mentioning

confidence: 99%

Perspective Chapter: New Approaches to the Assessment of Domain-Specific Creativity

Altindiş¹

2022

Creativity

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Science and technology getting continue to advance, the true wealth of our civilization will manifest in human creative output. Accordingly, technological developments offer great opportunities for creativity researches and assessment of creativity. While there are studies in the literature on the creation of computer-based creative products on the one hand, studies on whether creativity can be evaluated automatically or not, on the other hand, have started to attract attention. In addition, field experts turned to new research to understand whether creativity assessment could be automated and measured more quickly and qualitatively, and to explore whether this calculation method could be standardized. Researches conducted in the last 10 years have shown that computational approaches towards semantic distance have made significant contributions to the field both in theory and in practice. However, it can be said that there are very few studies that measure creativity based on semantic distance. This chapter presents a brief overview to discuss whether a computer-based measurement tool that can perform automatic calculations can be used in the evaluation of linguistic creativity in light of the evidence obtained from the literature.

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Section: The Potential That Humanity Has and Cannot Be Defined: Creat...mentioning

confidence: 99%

Perspective Chapter: New Approaches to the Assessment of Domain-Specific Creativity

Altindiş¹

2022

Creativity

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“…Such indicators are autobiographical reports of real-life creative behavior. In general, measures of creativity are diverse and can be stratified into ability tests, others-reports, and self-reports (Weiss et al, 2021). Ability tests measure skills of a person (e.g., the ability to come up with a novel idea), they are usually time-consuming to administer and complex to score and interpret (Reiter-Palmon et al, 2019).…”

Section: Short Yet Creative: Compiling a Short Scale Of Creative Acti...mentioning

confidence: 99%

“…And, are we measuring the same construct when applying self-report scales versus tests of divergent thinking? The debate on the adequacy of self-reports in general includes their vulnerability for biases (e.g., social desirability) and their lack of convergent validity with other measures of creativity (e.g., Kaufman, 2019;Weiss, Wilhelm, et al, 2021).…”

Section: Short Yet Creative: Compiling a Short Scale Of Creative Acti...mentioning

confidence: 99%

“…These activities describe-depending on the measure-minor or major accomplishments in different areas of daily life (Silvia et al, 2014;Weiss, et al, 2021). These are skill-related typical behaviors, which are situated in the everyday life of a person.…”

Section: What Are Creative Activities?mentioning

confidence: 99%

“…Second, they cover a variety of salient creativity domains, which suggests a high degree of content validity-an attribute often painfully missed in other measures of creativity. For instance, other-reports of great creative accomplishments (Weiss et al, 2021) reflect ratings of previous original outcomes such as patent indices (Owens et al, 1957), reflecting only a very limited domain in which one can be creative. Therefore, measures of creative activities assign credit to a broad diversity of creative behavior.…”

Section: What Are Creative Activities?mentioning

confidence: 99%

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Short, Yet Creative: Compiling a Short Scale of Creative Activities

Steger¹,

Weiss²,

Wilhelm³

2022

Preprint

Self Cite

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Creativity can be measured with a variety of methods including self-reports (e.g., creative interests), others reports (e.g., patent reports), and ability tests (e.g., divergent thinking). While typical self-reports are best understood as weak proxy variables of creativity, the application of biographical reports that assess previous creative activities seem more promising. Drawbacks of such measures—including skewed item distributions, a lack of measurement invariance across gender, and low convergent validity with established measures of creativity (such as divergent thinking tasks)—might be attributable to issues of item sampling. Therefore, we use a meta-heuristic algorithm (Ant Colony Optimization) to develop a short-scale of creative activities that a) maintains coverage of the original domains b) provides good model fit, c) has good reliability, d) demonstrates balanced item difficulty, e) is measurement invariant across gender, and f) possesses convergent validity with divergent thinking. For an 8-item short version of the original Inventory of Creative Activities and Achievements (ICAA) we identified an item set that satisfies all pre-specified criteria using data from N = 298 adults. We derive recommendations on the measurement of creative activities, and discuss implications for understanding creativity in general.

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Automated Scoring of Scientific Creativity in German

Goecke,

DiStefano,

Aschauer

et al. 2024

Journal of Creative Behavior

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Automated scoring is a current hot topic in creativity research. However, most research has focused on the English language and popular verbal creative thinking tasks, such as the alternate uses task. Therefore, in this study, we present a large language model approach for automated scoring of a scientific creative thinking task that assesses divergent ideation in experimental tasks in the German language. Participants are required to generate alternative explanations for an empirical observation. This work analyzed a total of 13,423 unique responses. To predict human ratings of originality, we used XLM‐RoBERTa (Cross‐lingual Language Model‐RoBERTa), a large, multilingual model. The prediction model was trained on 9,400 responses. Results showed a strong correlation between model predictions and human ratings in a held‐out test set (n = 2,682; r = 0.80; CI‐95% [0.79, 0.81]). These promising findings underscore the potential of large language models for automated scoring of scientific creative thinking in the German language. We encourage researchers to further investigate automated scoring of other domain‐specific creative thinking tasks.

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An improved taxonomy of creativity measures based on salient task attributes.

Cited by 28 publications

References 188 publications

Perspective Chapter: New Approaches to the Assessment of Domain-Specific Creativity

Perspective Chapter: New Approaches to the Assessment of Domain-Specific Creativity

Short, Yet Creative: Compiling a Short Scale of Creative Activities

Automated Scoring of Scientific Creativity in German

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