Forthmann, B., Weiss, S., & Goecke, B.
Forschungsartikel (Zeitschrift) | Peer reviewedA fundamental question in creativity research is whether chance models of creativity align with the idea that cognitive ability can explain individual differences in creative cognition. Using two datasets (NDataset1 = 462 and NDataset2 = 331) we extended previous work on the equal odds baseline (i.e., a chance model of creativity) by using a latent variable analytic approach to model latent residual factors rectified for fluency. We compared three measurement models: the EOB latent variable model, a residualized model, and a ratio score model, examining their reliability and associations with cognitive abilities (i.e., fluid intelligence and working memory capacity). We found that when a chance model of creativity is deemed to be an appropriate fit for a given dataset, as evidenced by Dataset 2 in our study, a cognitive interpretation of originality factor η is warranted (i.e., around 21% of variance can be explained by working memory capacity). Our work, thus, refines discussions about the compatibility of chance models with cognitive explanations of creative cognition.
Forthmann, Boris | Professur für Statistik und Forschungsmethoden in der Psychologie (Prof. Nestler) |