Analysis of a Divergent Thinking Dataset

Dear Colleagues,

The Journal of Intelligence is planning a Special Issue on the analysis of a divergent thinking dataset.

• The data are available at https://osf.io/a9qnc.
• The main data are available for three objects with alternate uses (i.e., garbage bag, paperclip, and rope).
• The dataset includes many different scores of the divergent thinking data, such as variants of originality scores (human ratings, statistical rarity, and semantic distance), as well as fluency and elaboration scores.
• Data for each single response are also available. These include, for example, the ratings of single responses, as well as the text-mining features obtained for single responses.
• Person-level covariates are also available (e.g., verbal fluency, typing speed, right-wing authoritarianism), but divergent thinking should always be part of the analysis performed.
• For an example of how the data can be analyzed, please see the following:

Forthmann, B., & Doebler, P. (2022). Fifty years later and still working: Rediscovering Paulus et al’s (1970) automated scoring of divergent thinking tests. Psychology of Aesthetics, Creativity, and the Arts. Advance online publication. https://doi.org/10.1037/aca0000518

Forthmann, B., Holling, H., Çelik, P., Storme, M., & Lubart, T. (2017). Typing speed as a confounding variable and the measurement of quality in divergent thinking. Creativity Research Journal, 29(3), 257–269. https://doi.org/10.1080/10400419.2017.1360059

Forthmann, B., Paek, S. H., Dumas, D., Barbot, B., & Holling, H. (2020). Scrutinizing the basis of originality in divergent thinking tests: On the measurement precision of response propensity estimates. British Journal of Educational Psychology, 90(3), 683–699. https://doi.org/10.1111/bjep.12325

We welcome all manuscripts which contribute to an understanding of new analytical approaches for researchers interested in divergent thinking research, a new understanding of the data, and/or to the measurement of divergent thinking, whether related to the approaches used in the papers mentioned above or not. Any type of analysis qualifies on the condition that it is of sufficiently high quality. Specifically, the analysis could be any of the following:

• Simple or complex;
• Outdated (some approaches used in the past might still be useful while other “old” methods of data analysis have been simply overlooked) or modern (i.e., the newest approaches taken from the literature on these methods);
• Frequentist or Bayesian;
• Psychometric (classical test theory, item response theory, or network psychometrics);
• Focused on prediction.

Dr. Boris Forthmann
Dr. Nils Myszkowski
Guest Editors

Manuscript Submission Information

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• divergent thinking
• human ratings
• assessment
• data analysis
• psychometrics
• prediction modeling
• psychological methods