A Comparison of Expert and Nonexpert Raters Using the Consensual Assessment Technique

By James C. Kaufman, John Baer, J. Cole, Janel D. Sexton. 2008

355 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Music, Visual Arts and Performing Arts

View Paper: https://www.semanticscholar.org/paper/b29b7876812ca7346dfe19b1ee06e02e37dc0fab

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In Experimental and Cognitive Psychology

In Music

In Visual Arts and Performing Arts

Citations in the corpus

Beyond Big and Little: The Four C Model of Creativity (2009, background): “, Einstein was not a professional physicist, but rather working in the Swiss Patent Office, when he made some of his most profound, Big-C contributions to physics). Instead, the model offers a framework for conceptualizing and classifying various levels of creative expression and points to potential”
Measuring Functional Creativity: Non‐Expert Raters and the Creative Solution Diagnosis Scale (2012, methodology): “Coefficient alpha is a standard measure of internal consistency and has been used in creativity research as a measure of inter-rater reliability, treating raters as items (see Kaufman et al., 2008a).”
Expertise, Domains, and the Consensual Assessment Technique. (2009, background): “Given these findings and those of Kaufman et al. (2008), we propose that one way to determine potential novice-expert agreement might be to look at how popular the domain is with the public.”
A scattered CAT: A critical evaluation of the consensual assessment technique for creativity research. (2019, background): “Kaufman et al. (2008) and Jeffries et al. (2017) each used six-point scales, though they asked participants to categorize items into three categories (low, medium, high creativity) first.”
Evaluation of Self-Perceptions of Creativity: Is It a Useful Criterion? (2012, neutral): “Other tasks that have been used include dramatic performance (Myford, 1989 ), music compositions (Brinkman, 1999 ; Hickey, 2001 ), poetry (Kaufman, Baer, Cole, & Sexton, 2008 ), scientific questions (Kaufman, Evans, & Baer, 2010 ), and writing mathematical problems (Baer, 1994 ).”
The Importance of Domain-Specific Expertise in Creativity (2015, background): “…widely varying goals, such as: ● analyzing ways that people with different levels of expertise in a domain conceptualize creativity differently (e.g., Kaufman et al., 2005, 2008); ● comparing and evaluating domain-general and domainspecific models of creativity (e.g., Baer, 1993; Conti et al.,…”
Peer and self assessment in massive online classes (2013, background): “This may be because novices and experts differ in their tacit understanding of value [Kaufman et al. 2008].”
Approaches to Measuring Creativity: A Systematic Literature Review (2017, background): “However, over the last number of decades measuring creativity has proven to be a challenging task (Baer & McKool, 2009; Batey, Chamorro-Premuzic, & Furnham, 2010; Kaufman et al., 2008).”
Making creative metaphors: The importance of fluid intelligence for creative thought (2012, methodology): “These metaphors were rated for creativity by three raters who applied methods for subjective scoring that were developed and refined in other domains of creativity research (e.g., Kaufman et al., 2008; Silvia et al., 2008).”