1,721,132 research outputs found
Analysis of a Divergent Thinking Dataset
Dear Colleagues,
The Journal of Intelligence plans a special issue on the analysis of a divergent thinking dataset.
• The data are available right here!
• The main data are available for three Alternate Uses Objects (i.e., garbage bag, paperclip, and rope)
• The dataset includes many different scorings of the divergent thinking data such as variants of originality scorings (human ratings, statistical rarity, and semantic distance), as well as fluency and elaboration.
• Data for each single response are also available. This includes ratings of single responses, as well as text-mining features obtained for single responses, for example.
• 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, see:
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 or not to the approaches used in the papers mentioned above. Any type of analysis qualifies on the condition that it is of a sufficiently high level of quality. Specifically, the analysis could be…
• …simple or complex
• …outdated (some approaches used in the past might still be useful while other “old” methods of data analysis were simply overlooked) or modern (i.e., the newest approaches taken from the methods literature)
• …frequentist or Bayesian
• …psychometric (classical test theory, item response theory, or network psychometrics)
• …focused on prediction
The deadline for submission is 31st of July 2025. Submitted manuscripts will be subjected to the regular review process.
Dr. Boris Forthmann
Guest Editor
Dr. Nils Myszkowski
Guest Edito
Analysis of a Divergent Thinking Dataset
Dear Colleagues,
The Journal of Intelligence plans a special issue on the analysis of a divergent thinking dataset.
• The data are available right here!
• The main data are available for three Alternate Uses Objects (i.e., garbage bag, paperclip, and rope)
• The dataset includes many different scorings of the divergent thinking data such as variants of originality scorings (human ratings, statistical rarity, and semantic distance), as well as fluency and elaboration.
• Data for each single response are also available. This includes ratings of single responses, as well as text-mining features obtained for single responses, for example.
• 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, see:
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 or not to the approaches used in the papers mentioned above. Any type of analysis qualifies on the condition that it is of a sufficiently high level of quality. Specifically, the analysis could be…
• …simple or complex
• …outdated (some approaches used in the past might still be useful while other “old” methods of data analysis were simply overlooked) or modern (i.e., the newest approaches taken from the methods literature)
• …frequentist or Bayesian
• …psychometric (classical test theory, item response theory, or network psychometrics)
• …focused on prediction
The deadline for submission is 31st of July 2025. Submitted manuscripts will be subjected to the regular review process.
Dr. Boris Forthmann
Guest Editor
Dr. Nils Myszkowski
Guest Edito
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Researcher Capacity Estimation based on the Q Model: A Gen-eralized Linear Mixed Model Perspective
Below the following material is made openly available:
1. models_OSF.rda: the fitted model objects of the main analysis.
2. models_pe_OSF.rda: the fitted model objects of the complementary analyses reported in the supplemental file.
3. models_train_OSF.rda: the fitted model objects and data.frame objects used for cross-validation.
4. OSF Zeor_Inflation_Results.docx: Supplemental file in which complementary analyses are described and reported.
5. q_model_OSF.R: R script including all analyses reported in the main paper and supplemental file.
The dataset is also openly available:
https://lu-liu.github.io/hotstreaks/
It was created for the following publication:
Liu, L., Wang, Y., Sinatra, R., Giles, C. L., Song, C., & Wang, D. (2018). Hot streaks in artistic, cultural, and scientific careers. Nature, 559, 396-399. https://doi.org/10.1038/s41586-018-0315-
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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