Creativity and Intelligence Revisited: A Latent Variable Analysis of Wallach and Kogan (1965)

By Paul J Silvia. 2008

173 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Information Systems

View Paper: https://www.semanticscholar.org/paper/5ca5a167e8eef15d435045d54b697158be036c25

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In Experimental and Cognitive Psychology

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Citations in the corpus

Discernment and creativity: How well can people identify their most creative ideas? (2008, methodology): “Participants The data for this study comes from the Creativity and Cognition project, which was first described in Silvia et al. (2008). The sample consists of 226 people (48 men, 178 women) enrolled in General Psychology at the University of North Carolina at Greensboro.”
Is creativity domain-specific? Latent class models of creative accomplishments and creative self-descriptions. (2009, unknown): “Traits like divergent thinking (Plucker, 1999; Silvia, 2008a, 2008b ), creative potential (Runco, 2007), creativity-relevant skills (e.g., tolerance for ambiguity; Amabile, 1996), and ideational abilities (Simonton, 1999) presumably foster creativity across many domains.”
Intelligence and Creativity Are Pretty Similar After All (2015, methodology): “When the data are reanalyzed using structural equation models, the correlation between creativity and intelligence rises from r=0.09 to around r=0.20 (Silvia 2008b), thus illustrating how observed correlations can deflate relationships.”
The Effects of Foreign Language Learning on Creativity (2012, background): “There are also some counterclaims; Silvia (2008), for instance, reanalyzed the previous data through advanced methodologies.”
Verbal fluency and creativity: General and specific contributions of broad retrieval ability (Gr) factors to divergent thinking (2013, methodology): “In fact, the correlation between fluency and creativity is quite high in several gold-standard data sets, including r = .89 in Wallach and Kogan's (1965) landmark study (see Silvia, 2008b) and r = .88 in the most recent norms for the Torrance Tests of Creative Thinking (Torrance, 2008).”
A snapshot of creativity: Evaluating a quick and simple method for assessing divergent thinking (2009, methodology): “In a reanalysis of Wallach and Kogan's data, Silvia (2008b) found a correlation of β = .89 between the latent fluency and uniqueness variables.”
Is creativity without intelligence possible? A Necessary Condition Analysis (2016, result): “The relationship between intelligence and creativity is one of them, and previous studies (Jauk et al., 2013) and re-analyses (Silvia, 2008a, 2008b, 2015) showed that these two constructsmay be closer to eachother thanwaspreviously assumed.”
The cognitive underpinnings of creative thought: A latent variable analysis exploring the roles of intelligence and working memory in three creative thinking processes (2013, methodology): “…from recent research that indicates an important role of intelligence in creativity (e.g., Batey, Furnham, & Safiullina, 2010; Cho et al., 2010; Silvia, 2008a,b; Vincent et al., 2002), we examined the effects of intelligence and working memory (an executive function closely related to g) on…”
Making creative metaphors: The importance of fluid intelligence for creative thought (2012, background): “Some personality traits predict both intelligence and creativity, so they are potential “third variables” that should be examined (Silvia, 2008a).”
Understanding Fluency and Originality: A latent variable perspective (2014, background): “…because the inclusion of Originality and Fluency in structural equation models pertaining to the relations among creativity and other constructs (e.g., intelligence; Silvia, 2008) is of interest in the field, the differential construct reliability between Fluency and Originality is of importance.”
Why do ideas get more creative across time? An executive interpretation of the serial order effect in divergent thinking tasks. (2012, methodology): “…that our past research has shown that the relationship between intelligence and creativity increases when researchers analyze latent variables ( Silvia, 2008b), assess higherorder factors of intelligence rather than lower-order abilities ( Nusbaum & Silvia, 2011a, Study 1; Silvia, 2008a), and…”