Predictors of creativity in young people: Using frequentist and Bayesian approaches in estimating the importance of individual and contextual factors.

Asquith, Sarah; Wang, Xu; Quintana, Daniel; Abraham, Anna

doi:10.1037/aca0000322

Cited by 9 publications

(15 citation statements)

References 96 publications

(179 reference statements)

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“…Feist (1998) also found a similar effect using a meta-analysis of studies focusing on artists and scientists. Several other studies have confirmed the relationship between openness and extraversion with divergent thinking performance (Carson et al, 2003;Dumas et al, 2020a;Asquith et al, 2022).…”

Section: Introductionmentioning

confidence: 75%

Measuring flexibility: A text-mining approach

et al. 2023

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In creativity research, ideational flexibility, the ability to generate ideas by shifting between concepts, has long been the focus of investigation. However, psychometric work to develop measurement procedures for flexibility has generally lagged behind other creativity-relevant constructs such as fluency and originality. Here, we build from extant research to theoretically posit, and then empirically validate, a text-mining based method for measuring flexibility in verbal divergent thinking (DT) responses. The empirical validation of this method is accomplished in two studies. In the first study, we use the verbal form of the Torrance Test of Creative Thinking (TTCT) to demonstrate that our novel flexibility scoring method strongly and positively correlates with traditionally used TTCT flexibility scores. In the second study, we conduct a confirmatory factor analysis using the Alternate Uses Task to show reliability and construct validity of our text-mining based flexibility scoring. In addition, we also examine the relationship between personality facets and flexibility of ideas to provide criterion validity of our scoring methodology. Given the psychometric evidence presented here and the practicality of automated scores, we recommend adopting this new method which provides a less labor-intensive and less costly objective measurement of flexibility.

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Section: Introductionmentioning

confidence: 75%

Measuring flexibility: A text-mining approach

et al. 2023

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“…Openness is highly correlated to creativity across a wide variety of measures (Feist et al, 2017). These extend to self-reported creative activities (Jauk et al, 2014), creative selfefficacy (Karwowski et al, 2013), divergent thinking performance (Asquith et al, 2022), and rated creative products (Maslej et al, 2014). It is important to note that because most measures of openness are reliant on questions about imagination and esthetics, these types of connections are not necessarily surprising (Martindale, 1989).…”

Section: Blue: Personality and Cognitionmentioning

confidence: 99%

The creativity ethos: A palette of benevolent processes and outcomes

Kaufman

Glăveanu

2023

Possibility Studies & Society

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Is creativity good, bad, or neutral? Although creative outcomes can serve malevolent purposes, we argue the underlying processes that support creative expression—what we call here the Creativity Ethos—lean toward the good in human nature. The dimensions of this Ethos can be metaphorically grouped under three main colors, Blue, Yellow and Red, related to cognition and personality, socioemotional interactions, and motivation, respectively. Blue processes are flexibility and openness, Yellow processes are perspective-taking and compassion, and Red processes are passion and inspiration. In the end, a well-developed Creativity Ethos can be compared to a rainbow that showcases how different colors valorize each other; further, they can all be enhanced through co-creation, leading to emergent changes in the world. However, there are also cases in which these components are underdeveloped, which may lead to less benevolent outcomes via profiles we call the “idle activist,” “selfish CEO,” and the “potential fanatic.” We end with reflections on why discussions of the Creativity Ethos are important not only for positive and humanistic psychology, but for any discipline, including Possibility Studies, interested in developing wise and humanizing forms of creativity.

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“…The first method considered an overall originality score including all the items generated. This average originality score was calculated from the proportional weighting of each use by the frequency of its occurrence [57,58]. To maintain high originality as indicative of high divergent thinking, and to resolve the confounding influence of fluency on originality (i.e., those with high fluency score having a high originality score as a result of more uses being summed in the calculation) [59], this single score was then divided by the fluency score of the participant and subtracted from 1 (e.g., 1 -(.42/4)), resulting in a difference score (e.g., .90), which was referred to as the average originality score.…”

Section: Plos Onementioning

confidence: 99%

“…(c) Peak originality scoring (objective): This method only considered responses of high originality as evidenced by the statistical rarity of the responses within the sample [57,58]. The proportional weighting (i.e., number of times the use was generated in the sample / total number of participants) of each use was converted into a percentage (e.g., 0.17 = 17%).…”

Section: Plos Onementioning

confidence: 99%

Evaluating the effects of episodic and semantic memory induction procedures on divergent thinking in younger and older adults

2023

Self Cite

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Evidence suggesting that episodic specificity induction improves divergent thinking performance in younger and older adults has been taken as indicative of the role of declarative memory processes in creativity. A series of studies were carried out to verify the specificity of such findings by investigating the effects of several novel episodic and semantic memory induction procedures on a widely employed measure of divergent creative thinking (the Alternate Uses Task), in comparison to a control induction and a no-induction baseline in both younger and older adults. There was no clear evidence for a specific role played by the induction of episodic or semantic memory processes in facilitating creative thinking across the three experiments, and the effects of the induction procedures (episodic, semantic and control) on divergent thinking were not comparable across age groups. On the other hand, higher levels of creativity were generally associated with older adults (60–80 years). In Experiments 2 and 3, older adults generated a greater number of responses (fluency), more unique responses (average originality, peak originality, creativity ratings) and more varied responses (flexibility) than younger adults (18–30 years). The findings are discussed in relation to the specificity of declarative memory operations and their impact on creative thinking, especially within the context of healthy ageing.

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Predictors of creativity in young people: Using frequentist and Bayesian approaches in estimating the importance of individual and contextual factors.

Cited by 9 publications

References 96 publications

Measuring flexibility: A text-mining approach

Measuring flexibility: A text-mining approach

The creativity ethos: A palette of benevolent processes and outcomes

Evaluating the effects of episodic and semantic memory induction procedures on divergent thinking in younger and older adults

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