Objective measure of scientific creativity: Psychometric validity of the Creative Scientific Ability Test
By M. Ayas, Uğur Sak. 2014
108 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/b9556b35bb8b3c28296dac19285509e9fc1143e8
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In Experimental and Cognitive Psychology
Citations in the corpus
- The relative influences of domain knowledge and domain-general divergent thinking on scientific creativity and mathematical creativity (2017, background): “Divergent thinking ability has also been considered to measure the abilities of fluency, flexibility and originality in the creativity of these two domains (Ayas & Sak, 2014; Haylock, 1987a, 1997; Hu & Adey, 2002; Lee et al., 2003; Leikin, 2009; Leikin & Lev, 2013; Sak & Ayas, 2013).”
- The Practicality and Effectiveness of Collaborative Creativity Learning (CCL) Model by Using PhET Simulation to Increase Students’ Scientific Creativity (2018, background): “…skill is reflected through unusual use, technical production, hypothesizing, science problem solving, creative experimental, and science production (Ayas & Sak 2014; Hu & Adey 2010; Hu, et al., 2013; Kang et al., 2015; Raj & Saxena, 2016; Siew et al., 2014; Suyidno et al., 2017; Suyidno et al.,…”
- Convergent Thinking Moderates the Relationship between Divergent Thinking and Scientific Creativity (2019, background): “The process of scientific problems solution usually involved three stages (Ayas & Sak, 2014; Hu & Adey, 2002; Lee et al., 2015; Sak & Ayas, 2013): problem generation, method searching, and choice.”