Accesso libero

Creativity Ratings of Fashion Outfits Presented on Instagram: Does Gender Matter?

INFORMAZIONI SU QUESTO ARTICOLO

Cita

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_2010.1007/978-3-030-21905-5_20 Search in Google Scholar

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/10.1037/0022-3514.43.5.99710.1037/0022-3514.43.5.997 Search in Google Scholar

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/10.1177/014616728208302710.1177/0146167282083027 Search in Google Scholar

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/10.1037/0022-3514.48.2.39310.1037/0022-3514.48.2.393 Search in Google Scholar

Amabile, T.M. (1996). Creativity in context: Update to “the social psychology of creativity.” Boulder, CO: West-view. Search in Google Scholar

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_310.1207/s15326934crj1001_3 Search in Google Scholar

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.x10.1002/j.2162-6057.1998.tb00804.x Search in Google Scholar

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.x10.1002/j.2162-6057.2008.tb01289.x Search in Google Scholar

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_1110.1207/s15326934crj1601_11 Search in Google Scholar

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.10.4.38910.1037/1082-989X.10.4.389 Search in Google Scholar

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.196010.1002/job.1960 Search in Google Scholar

Caroff, X., & Besançon, M. (2008). Variability of creativity judgments. Learning and Individual Differences, 18(4), 367–371. https://doi.org/10.1016/j.lindif.2008.04.00110.1016/j.lindif.2008.04.001 Search in Google Scholar

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_410.1207/s15326934crj1701_4 Search in Google Scholar

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-06-2013-014410.1108/OIR-06-2013-0144 Search in Google Scholar

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/10.1080/10400419.2010.48152210.1080/10400419.2010.481522 Search in Google Scholar

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum. Search in Google Scholar

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.15510.1037/0033-2909.112.1.155 Search in Google Scholar

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/aca000022010.1037/aca0000220 Search in Google Scholar

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/10.3102/0034654306200106110.3102/00346543062001061 Search in Google Scholar

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/s40691-017-0102-410.1186/s40691-017-0102-4 Search in Google Scholar

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/10.1080/17543266.2015.101896010.1080/17543266.2015.1018960 Search in Google Scholar

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.3610.1002/jocb.36 Search in Google Scholar

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.2019.10057210.1016/j.tsc.2019.100572 Search in Google Scholar

Halpern, D.F. (2012). Sex differences in cognitive abilities (4th ed.). New York: Psychology Press.10.1037/e669402012-012 Search in Google Scholar

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.x10.1002/j.2162-6057.1989.tb00514.x Search in Google Scholar

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.2018.0233110.3389/fpsyg.2018.02331 Search in Google Scholar

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.2011.06.02710.1016/j.paid.2011.06.027 Search in Google Scholar

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.2021.62691110.3389/fpsyg.2021.626911 Search in Google Scholar

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.2013.07.01710.1016/j.paid.2013.07.017 Search in Google Scholar

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.760427710.1126/science.7604277 Search in Google Scholar

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/10.1080/1040041940953452410.1080/10400419409534524 Search in Google Scholar

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/10.2307/334570910.2307/3345709 Search in Google Scholar

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.2004710.1002/hfm.20047 Search in Google Scholar

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/10.1080/10400419.2012.73033110.1080/10400419.2012.730331 Search in Google Scholar

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/a001491810.1037/a0014918 Search in Google Scholar

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.x10.1111/j.1745-6924.2008.00096.x Search in Google Scholar

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.2014.07.02110.1016/j.paid.2014.07.021 Search in Google Scholar

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-2020-000910.2478/ctra-2020-0009 Search in Google Scholar

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/10.1080/10400419.2016.122997810.1080/10400419.2016.1229978 Search in Google Scholar

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.2016.10.00510.1016/j.tsc.2016.10.005 Search in Google Scholar

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/10.1080/10400419.2010.48152910.1080/10400419.2010.481529 Search in Google Scholar

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.x10.1002/j.2162-6057.2009.tb01316.x Search in Google Scholar

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/10.1080/1040041080205992910.1080/10400410802059929 Search in Google Scholar

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.2162-6057.2004.tb01231.x10.1002/j.2162-6057.2004.tb01231.x Search in Google Scholar

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), 260–265.10.1177/001698620504900307 Search in Google Scholar

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.x10.1111/j.1559-1816.2009.00584.x Search in Google Scholar

Kaufman, J.C., Plucker, J.A., & Baer, J. (2008). Essentials of creativity assessment. Hoboken, NJ: John Wiley & Sons. Search in Google Scholar

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.1217210.1111/abac.12172 Search in Google Scholar

Krippendorff, K. (2013). Content analysis: An introduction to its methodology (3rd ed.). Thousand Oaks, CA: Sage. Search in Google Scholar

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/10.1080/10400419.2015.99268510.1080/10400419.2015.992685 Search in Google Scholar

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/a002624110.1037/a0026241 Search in Google Scholar

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.2014.014710.5465/amd.2014.0147 Search in Google Scholar

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.2014.05.00210.1016/j.tsc.2014.05.002 Search in Google Scholar

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.2014.10.00410.1016/j.tsc.2014.10.004 Search in Google Scholar

Martin, L., & Wilson, N. (2017). Defining creativity with discovery. Creativity Research Journal, 29(4), 417–425. https://doi.org/10.1080/10400419.2017.137654310.1080/10400419.2017.1376543 Search in Google Scholar

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.2018.11.00110.1016/j.tsc.2018.11.001 Search in Google Scholar

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.x10.1002/j.2162-6057.2009.tb01305.x Search in Google Scholar

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/aca000022510.1037/aca0000225 Search in Google Scholar

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/10.1080/0020759014300003610.1080/00207590143000036 Search in Google Scholar

Nunnally, J.C., & Bernstein, I.A. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill. Search in Google Scholar

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-2019-000110.1515/ctra-2019-0001 Search in Google Scholar

Piirto, J. (1991). Why are there so few? (Creative women: Visual artists, mathematicians, musicians). Roeper Review, 13(3), 142–147. https://doi.org/10.1080/0278319910955334010.1080/02783199109553340 Search in Google Scholar

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_1710.1007/978-1-4419-1465-1_17 Search in Google Scholar

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-2017-001310.1515/ctra-2017-0013 Search in Google Scholar

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/10.1037/0022-3514.61.5.82910.1037/0022-3514.61.5.829 Search in Google Scholar

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.2021.11066110.1016/j.paid.2021.110661 Search in Google Scholar

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.2018.03.01010.1016/j.tsc.2018.03.010 Search in Google Scholar

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.x10.1002/j.2162-6057.2002.tb01067.x Search in Google Scholar

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.38710.1002/jocb.387 Search in Google Scholar

eISSN:
2354-0036
Lingua:
Inglese
Frequenza di pubblicazione:
2 volte all'anno
Argomenti della rivista:
Arts, general, Social Sciences, Psychology, Development Psychology, Applied Psychology, Education, other