Proszę używać tego identyfikatora do cytowań lub wstaw link do tej pozycji:
http://hdl.handle.net/11320/20110Pełny rekord metadanych
| Pole DC | Wartość | Język |
|---|---|---|
| dc.contributor.author | Barth, Philipp | - |
| dc.contributor.author | Stadtmann, Georg | - |
| dc.date.accessioned | 2026-04-18T07:55:25Z | - |
| dc.date.available | 2026-04-18T07:55:25Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Creativity. Theories – Research – Applications, Vol. 9, Issue 1, 2022, pp. 26-50 | pl |
| dc.identifier.uri | http://hdl.handle.net/11320/20110 | - |
| dc.description.abstract | Creativity assessment can be influenced by rater characteristics, including social group membership, such as gender. As raters are often male, the gender composition of rater panels in the Consensual Assessment Technique (CAT) could introduce unintended implicit biases into this measurement methodology. The present study analyzed such biases by examining gender differences in creativity assessment. Method: We applied the CAT and asked male (n = 26) and female (n = 39) judges to rate the creativity of fashion outfits presented on Instagram. We then examined gender differences in mean creativity ratings and rater consistency (inter-rater reliability). In an additional qualitative analysis, we analyzed implicit theories of creativity of female and male raters by comparing the criteria that these raters applied when assessing creativity. Results: We found no systematic support for gender differences in the level of creativity ratings, but observed that rating consistency was significantly higher for female than for male judges. Additional content analysis suggested that female and male raters attached different relative importance to various assessment criteria, indicating gender differences in rating criteria. Discussion: Our study suggests that rater panel composition can indeed affect aspects of creativity assessment, although we do not obtain strong support for a gender-related bias in the CAT methodology. | pl |
| dc.language.iso | en | pl |
| dc.publisher | University of Białystok | pl |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License | - |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ | - |
| dc.subject | consensual assessment technique | pl |
| dc.subject | creativity assessment | pl |
| dc.subject | fashion | pl |
| dc.subject | gender differences | pl |
| dc.subject | implicit theories of creativity | pl |
| dc.subject | pl | |
| dc.subject | inter-rater reliability | pl |
| dc.title | Creativity Ratings of Fashion Outfits Presented on Instagram: Does Gender Matter? | pl |
| dc.type | Article | pl |
| dc.rights.holder | © 2022 Philipp Barth, Georg Stadtmann, published by University of Białystok | pl |
| dc.rights.holder | This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. | pl |
| dc.identifier.doi | 10.2478/ctra-2022-0002 | - |
| dc.description.Email | Philipp Barth: barth@europa-uni.de | pl |
| dc.description.Affiliation | Philipp Barth - European University Viadrina, Germany | pl |
| dc.description.Affiliation | Georg Stadtmann - European University Viadrina, Germany | pl |
| dc.description.references | Alassani, R., & Göretz, J. (2019). Product placements by micro and macro influencers on Instagram. In G. Meiselwitz (Ed.), Social Computing and Social Media. Communication and Social Communities (pp. 251-267). Springer. https://doi.org/10.1007/978-3-030-21905-5_20 | pl |
| dc.description.references | Amabile, T.M. (1982a). Social psychology of creativity: A consensual assessment technique. Journal of Personality and Social Psychology, 43(5), 997–1013. https://doi.org/10.1037/0022-3514.43.5.997 | pl |
| dc.description.references | Amabile, T.M. (1982b). Children’s artistic creativity: Detrimental effects of competition in a field setting. Personality and Social Psychology Bulletin, 8(32), 573–578. https://doi.org/10.1177/0146167282083027 | pl |
| dc.description.references | Amabile, T.M. (1985). Motivation and creativity: Effects of motivational orientation on creative writers. Journal of Personality and Social Psychology, 48(2), 393–399. https://doi.org/10.1037/0022-3514.48.2.393 | pl |
| dc.description.references | Amabile, T.M. (1996). Creativity in context: Update to “the social psychology of creativity.” Boulder, CO: Westview. | pl |
| dc.description.references | Baer, J. (1997). Gender differences in the effects of anticipated evaluation on creativity. Creativity Research Journal, 10(1), 25–31. https://doi.org/10.1207/s15326934crj1001_3 | pl |
| dc.description.references | Baer, J. (1998). Gender differences in the effects of extrinsic motivation on creativity. The Journal of Creative Behavior, 32(1), 18–37. https://doi.org/10.1002/j.2162-6057.1998.tb00804.x | pl |
| dc.description.references | Baer, J., & Kaufman, J.C. (2008). Gender differences in creativity. The Journal of Creative Behavior, 42(2), 75-105. https://doi.org/10.1002/j.2162-6057.2008.tb01289.x | pl |
| dc.description.references | Baer, J., Kaufman, J.C., & Gentile, C.A. (2004). Extension of the Consensual Assessment Technique to nonparallel creative products. Creativity Research Journal, 16(1), 113–117. https://doi.org/10.1207/s15326934crj1601_11 | pl |
| dc.description.references | Belia, S., Fidler, F., Williams, J., & Cumming, G. (2005). Researchers misunderstand confidence intervals and standard error bars. Psychological Methods, 10(4), 389–396. https://doi.org/10.1037/1082-989X.10.4.389 | pl |
| dc.description.references | Bonett, D.G., & Wright, T.A. (2015). Cronbach’s alpha reliability: Interval estimation, hypothesis testing, and sample size planning. Journal of Organizational Behavior, 36, 3–15. https://doi.org/10.1002/job.1960 | pl |
| dc.description.references | Caroff, X., & Besançon, M. (2008). Variability of creativity judgments. Learning and Individual Differences, 18(4), 367–371. https://doi.org/10.1016/j.lindif.2008.04.001 | pl |
| dc.description.references | Carson, S.H., Peterson, J.B., & Higgins, D.M. (2005). Reliability, validity, and factor structure of the Creative Achievement Questionnaire. Creativity Research Journal, 17(1), 37–50. https://doi.org/10.1207/s15326934crj1701_4 | pl |
| dc.description.references | Cheng, H.H. (2014). The effect of social embeddedness on bloggers’ creativity. Online Information Review, 38(3), 399–416. https://doi.org/10.1108/oir-06-2013-0144 | pl |
| dc.description.references | Cheung, P.C., & Lau, S. (2010). Gender differences in the creativity of Hong Kong school children: Comparison by using the new electronic Wallach–Kogan Creativity Tests. Creativity Research Journal, 22(2), 194–199. https://doi.org/10.1080/10400419.2010.481522 | pl |
| dc.description.references | Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum. | pl |
| dc.description.references | Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155 | pl |
| dc.description.references | Cseh, G.M., & Jeffries, K.K. (2019). A scattered CAT: A critical evaluation of the Consensual Assessment Technique for creativity research. Psychology of Aesthetics, Creativity, and the Arts, 13(2), 159–166. https://doi.org/10.1037/aca0000220 | pl |
| dc.description.references | Feingold, A. (1992). Sex differences in variability in intellectual abilities: A new look at an old controversy. Review of Educational Research, 62(1), 61–84. https://doi.org/10.3102/00346543062001061 | pl |
| dc.description.references | Freeman, C., Marcketti, S., & Karpova, E. (2017). Creativity of images: Using digital consensual assessment to evaluate mood boards. Fashion and Textiles, 4(1). https://doi.org/10.1186/s40691-017-0102-4 | pl |
| dc.description.references | Freeman, C., Son, J., & McRoberts, L.B. (2015). Comparison of novice and expert evaluations of apparel design illustrations using the Consensual Assessment Technique. International Journal of Fashion Design, Technology and Education, 8(2), 122–130. https://doi.org/10.1080/17543266.2015.1018960 | pl |
| dc.description.references | Gralewski, J., & Karwowski, M. (2013). Polite girls and creative boys? Students’ gender moderates accuracy of teachers’ ratings of creativity. The Journal of Creative Behavior, 47(4), 290–304. https://doi.org/10.1002/jocb.36 | pl |
| dc.description.references | Guo, J., Ge, Y., & Pang, W. (2019). The underlying cognitive mechanisms of the rater effect in creativity assessment: The mediating role of perceived semantic distance. Thinking Skills and Creativity, 33, 1–11. https://doi.org/10.1016/j.tsc.2019.100572 | pl |
| dc.description.references | Halpern, D.F. (2012). Sex differences in cognitive abilities (4th ed.). New York: Psychology Press. | pl |
| dc.description.references | Harris, L.J. (1989). Two sexes in the mind: Perceptual and creative differences between women and men. The Journal of Creative Behavior, 23(1), 14–25. https://doi.org/10.1002/j.2162-6057.1989.tb00514.x | pl |
| dc.description.references | He, W.J. (2018). A 4-year longitudinal study of the sex-creativity relationship in childhood, adolescence, and emerging adulthood: Findings of mean and variability analyses. Frontiers in Psychology, 9, 1–14. https://doi.org/10.3389/fpsyg.2018.02331 | pl |
| dc.description.references | He, W.J., & Wong, W.C. (2011). Gender differences in creative thinking revisited: Findings from analysis of variability. Personality and Individual Differences, 51, 807–811. https://doi.org/10.1016/j.paid.2011.06.027 | pl |
| dc.description.references | He, W.J., & Wong, W.C. (2021). Gender differences in the distribution of creativity scores: Domain-Specific patterns in divergent thinking and creative problem solving. Frontiers in Psychology, 12, 1–14. https://doi.org/10.3389/fpsyg.2021.626911 | pl |
| dc.description.references | He, W.J., Wong, W.C., Li, Y., & Xu, H. (2013). A study of the greater male variability hypothesis in creative thinking in mainland China: Male superiority exists. Personality and Individual Differences, 55(8), 882–886. https://doi.org/10.1016/j.paid.2013.07.017 | pl |
| dc.description.references | Hedges, L., & Nowell, A. (1995). Sex differences in mental test scores, variability, and numbers of high-scoring individuals. Science, 269(5220), 41–45. https://doi.org/10.1126/science.7604277 | pl |
| dc.description.references | Hennessey, B.A. (1994). The Consensual Assessment Technique: An examination of the relationship between ratings of product and process creativity. Creativity Research Journal, 7(2), 193–208. https://doi.org/10.1080/10400419409534524 | pl |
| dc.description.references | Hickey, M. (2001). An application of Amabile’s Consensual Assessment Technique for rating the creativity of children’s musical compositions. Journal of Research in Music Education, 49(3), 234–244. https://doi.org/10.2307/3345709 | pl |
| dc.description.references | Horn, D., & Salvendy, G. (2006). Consumer-based assessment of product creativity: A review and reappraisal. Human Factors and Ergonomics in Manufacturing, 16(2), 155–175. https://doi.org/10.1002/hfm.20047 | pl |
| dc.description.references | Hung, S.-P., Chen, P.-H., & Chen, H.-C. (2012). Improving creativity performance assessment: A rater effect examination with many facet Rasch model. Creativity Research Journal, 24(4), 345–357. https://doi.org/10.1080/10400419.2012.730331 | pl |
| dc.description.references | Ivcevic, Z. (2009). Creativity map: Toward the next generation of theories of creativity. Psychology of Aesthetics, Creativity, and the Arts, 3(1), 17–21. https://doi.org/10.1037/a0014918 | pl |
| dc.description.references | Johnson, W., Carothers, A., & Deary, I.J. (2008). Sex differences in variability in general intelligence: A new look at the old question. Perspectives on Psychological Science, 3(6), 518–531. https://doi.org/10.1111/j.1745-6924.2008.00096.x | pl |
| dc.description.references | Ju, C., Duan, Y., & You, X. (2015). Retesting the greater male variability hypothesis in mainland China: A cross-regional study. Personality and Individual Differences, 72, 85–89. https://doi.org/10.1016/j.paid.2014.07.021 | pl |
| dc.description.references | Justyńska, M. (2020). The issue of assessment criteria for performance of creative tasks with the example of the Odyssey of the Mind. Creativity. Theories – Research – Applications, 7(1), 147–167. https://doi.org/10.2478/ctra-2020-0009 | pl |
| dc.description.references | Karwowski, M., Jankowska, D.M., Gajda, A., Marczak, M., Groyecka, A., & Sorokowski, P. (2016). Greater male variability in creativity outside the WEIRD world. Creativity Research Journal, 28(4), 467–470. https://doi.org/10.1080/10400419.2016.1229978 | pl |
| dc.description.references | Karwowski, M., Jankowska, D.M., Gralewski, J., Gajda, A., Wisniewska, E., & Lebuda, I. (2016). Greater male variability in creativity: A latent variables approach. Thinking Skills and Creativity, 22, 159–166. https://doi.org/10.1016/j.tsc.2016.10.005 | pl |
| dc.description.references | Kaufman, J.C., Baer, J., Agars, M.D., & Loomis, D. (2010). Creativity stereotypes and the Consensual Assessment Technique. Creativity Research Journal, 22(2), 200–205. https://doi.org/10.1080/10400419.2010.481529 | pl |
| dc.description.references | Kaufman, J.C., Baer, J., & Cole, J.C. (2009). Expertise, domains, and the Consensual Assessment Technique. The Journal of Creative Behavior, 43(4), 223–233. https://doi.org/10.1002/j.2162-6057.2009.tb01316.x | pl |
| dc.description.references | Kaufman, J.C., Baer, J., Cole, J.C., & Sexton, J.D. (2008). A comparison of expert and nonexpert raters using the Consensual Assessment Technique. Creativity Research Journal, 20(2), 171–178. https://doi.org/10.1080/10400410802059929 | pl |
| dc.description.references | Kaufman, J.C., Baer, J., & Gentile, C.A. (2004). Differences in gender and ethnicity as measured by ratings of three writing tasks. The Journal of Creative Behavior, 38(1), 56–69. https://doi.org/10.1002/j.21626057.2004.tb01231.x | pl |
| dc.description.references | Kaufman, J.C., Gentile, C.A., & Baer, J. (2005). Do gifted student writers and creative writing experts rate creativity the same way? Gifted Child Quarterly, 49(3), 260–265. | pl |
| dc.description.references | Kaufman, J.C., Niu, W., Sexton, J.D., & Cole, J.C. (2010). In the eye of the beholder: Differences across ethnicity and gender in evaluating creative work. Journal of Applied Social Psychology, 40(2), 496–511. https://doi.org/10.1111/j.1559-1816.2009.00584.x | pl |
| dc.description.references | Kaufman, J.C., Plucker, J.A., & Baer, J. (2008). Essentials of creativity assessment. Hoboken, NJ: John Wiley & Sons. | pl |
| dc.description.references | Kim, J.H., & Choi, I. (2021). Choosing the level of significance: A decision-theoretic approach. Abacus, 57(1), 27–71. https://doi.org/10.1111/abac.12172 | pl |
| dc.description.references | Krippendorff, K. (2013). Content analysis: An introduction to its methodology (3rd ed.). Thousand Oaks, CA: Sage. | pl |
| dc.description.references | Lau, S., & Cheung, P.C. (2015). A gender-fair look at variability in creativity: Growth in variability over a period versus gender comparison at a time point. Creativity Research Journal, 27(1), 87–95. https://doi.org/10.1080/10400419.2015.992685 | pl |
| dc.description.references | Lin, W.L., Hsu, K.Y., Chen, H.C., & Wang, J.W. (2012). The relations of gender and personality traits on different creativities: A dual-process theory account. Psychology of Aesthetics, Creativity, and the Arts, 6(2), 112–123. https://doi.org/10.1037/a0026241 | pl |
| dc.description.references | Loewenstein, J., & Mueller, J. (2016). Implicit theories of creative ideas: How culture guides creativity assessments. Academy of Management Discoveries, 2(4), 320–348. https://doi.org/10.5465/amd.2014.0147 | pl |
| dc.description.references | Long, H. (2014). More than appropriateness and novelty: Judges’ criteria of assessing creative products in science tasks. Thinking Skills and Creativity, 13, 183–194. https://doi.org/10.1016/j.tsc.2014.05.002 | pl |
| dc.description.references | Long, H., & Pang, W. (2015). Rater effects in creativity assessment: A mixed methods investigation. Thinking Skills and Creativity, 15, 13–25. https://doi.org/10.1016/j.tsc.2014.10.004 | pl |
| dc.description.references | Martin, L., & Wilson, N. (2017). Defining creativity with discovery. Creativity Research Journal, 29(4), 417–425. https://doi.org/10.1080/10400419.2017.1376543 | pl |
| dc.description.references | Mierdel, J., & Bogner, F.X. (2019). Is creativity, hands-on modeling and cognitive learning gender-dependent? Thinking Skills and Creativity, 31, 91–102. https://doi.org/10.1016/j.tsc.2018.11.001 | pl |
| dc.description.references | Mullineaux, P.Y., & Dilalla, L.F. (2009). Preschool pretend play behaviors and early adolescent creativity. The Journal of Creative Behavior, 43(1), 41–57. https://doi.org/10.1002/j.2162-6057.2009.tb01305.x | pl |
| dc.description.references | Myszkowski, N., & Storme, M. (2019). Judge response theory? A call to upgrade our psychometrical account of creativity judgments. Psychology of Aesthetics, Creativity, and the Arts, 13(2), 167–175. https://doi.org/10.1037/aca0000225 | pl |
| dc.description.references | Niu, W., & Sternberg, R.J. (2001). Cultural influences on artistic creativity and its evaluation. International Journal of Psychology, 36(4), 225–241. https://doi.org/10.1080/00207590143000036 | pl |
| dc.description.references | Nunnally, J.C., & Bernstein, I.A. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill. | pl |
| dc.description.references | Phonethibsavads, A., Bender, S., & Peppler, K. (2019). Utilizing the Consensual Assessment Technique to compare creativity in drama spaces. Creativity. Theories – Research – Applications, 6(1), 4–19. https://doi.org/10.1515/ctra-2019-0001 | pl |
| dc.description.references | Piirto, J. (1991). Why are there so few? (Creative women: Visual artists, mathematicians, musicians). Roeper Review, 13(3), 142–147. https://doi.org/10.1080/02783199109553340 | pl |
| dc.description.references | Runco, M.A., Cramond, B., & Pagnani, A.R. (2010). Gender and creativity. In J.C. Chrisler, & D.R. McCreary (Eds.), Handbook of gender research in psychology (pp. 343–357). https://doi.org/10.1007/978-1-4419-1465-1_17 | pl |
| dc.description.references | Said-Metwaly, S., Kyndt, E., & Van den Noortgate, W. (2017). Approaches to measuring creativity: A systematic literature review. Creativity. Theories – Research – Applications, 4(2), 238–275. https://doi.org/10.1515/ctra-2017-0013 | pl |
| dc.description.references | Simonton, D.K. (1991). Emergence and realization of genius: The lives and works of 120 classical composers. Journal of Personality and Social Psychology, 61(5), 829–840. https://doi.org/10.1037/0022-3514.61.5.829 | pl |
| dc.description.references | Taylor, C.L., & Barbot, B. (2021). Gender differences in creativity: Examining the greater male variability hypothesis in different domains and tasks. Personality and Individual Differences, 174, 1–9. https://doi.org/10.1016/j.paid.2021.110661 | pl |
| dc.description.references | Warren, F., Mason-Apps, E., Hoskins, S., Azmi, Z., & Boyce, J. (2018). The role of implicit theories, age, and gender in the creative performance of children and adults. Thinking Skills and Creativity, 28, 98–109. https://doi.org/10.1016/j.tsc.2018.03.010 | pl |
| dc.description.references | White, A., Shen, F., & Smith, B.L. (2002). Judging advertising creativity using the Creative Product Semantic Scale. The Journal of Creative Behavior, 36(4), 241–253. https://doi.org/10.1002/j.2162-6057.2002.tb01067.x | pl |
| dc.description.references | Zhang, W., Ren, P., & Deng, L. (2020). Gender differences in the creativity–academic achievement relationship: A study from China. The Journal of Creative Behavior, 54(3), 725–732. https://doi.org/10.1002/jocb.387 | pl |
| dc.identifier.eissn | 2354-0036 | - |
| dc.description.volume | 9 | pl |
| dc.description.issue | 1 | pl |
| dc.description.firstpage | 26 | pl |
| dc.description.lastpage | 50 | pl |
| dc.identifier.citation2 | Creativity. Theories – Research – Applications | pl |
| Występuje w kolekcji(ach): | Creativity. Theories – Research – Applications, 2022, Vol. 9, Issue 1 | |
Pliki w tej pozycji:
| Plik | Opis | Rozmiar | Format | |
|---|---|---|---|---|
| Creativity_9_1_2022_P_Barth_G_Stadtmann_Creativity_Ratings_of_Fashion_Outfits_Presented_on_Instagram.pdf | 375,67 kB | Adobe PDF | Otwórz |
Pozycja ta dostępna jest na podstawie licencji Licencja Creative Commons CCL
