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The mental imagery scale for art students: Building and validating a short form

Year 2024, , 589 - 607, 09.09.2024
https://doi.org/10.21449/ijate.1475980

Abstract

Mental imagery is a vital cognitive skill that significantly influences how reality is perceived while creating art. Its multifaceted nature reveals various dimensions of creative expression, amplifying the inherent complexities of measuring it. This study aimed to shorten the Mental Imagery Scale in Artistic Creativity (MISAC) via the Ant Colony Optimization algorithm (ACO), a metaheuristic methodology for developing psychometrically robust brief scales. Answering 63 items in the original version of MISAC demands a higher cognitive load and, consequently, more time. Therefore, our goal was to shorten it while preserving its psychometric properties. In this study, responses to the MISAC were obtained from 500 undergraduate students enrolled in an art education program. The items on the short form of the MISAC were selected based on pre-specified validity criteria and content representability. The 28-item short form of MISAC demonstrated comparable performance to the original version regarding construct validity, criteria-related validity, and reliability coefficients. Moreover, strict invariance was attained across both gender groups in the validation process of the short form. These results highlight the utility of the shortened version of the MISAC as a valid measure with minimal loss of information of scores compared to the full version.

References

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  • Botes, E., Dewaele, J.M., & Greiff, S. (2021). The development and validation of the short form of the foreign language enjoyment scale. The Modern Language Journal, 105(4), 858-876. https://doi.org/10.1111/modl.12741
  • Bowns, R., Loeffelman, J.E., Steinley, D., & Sher, K.J. (2022). A brief young adult alcohol problems screening test: Short form development using combinatorics. Journal of American College Health, 1-7. https://doi.org/10.1080/07448481.2022.2095870
  • Brunner, M., Nagy, G., & Wilhelm, O. (2012). A tutorial on hierarchically structured constructs. Journal of Personality, 80, 796-846. https://doi.org/10.1111/j.1467-6494.2011.00749.x
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  • Carr, T., Moss, T., & Harry, D. (2005). The DAS24: A short form of the Derriford Appearance Scale DAS59 to measure individual responses to living with problems of appearance. British Journal of Health Psychology, 10(2), 285 298. https://doi.org/10.1348/135910705X27613
  • Chamberlain, R., Drake, J.E., Kozbelt, A., Hickman, R., Siev, J., & Wagemans, J. (2019). Artists as experts in visual cognition: An update. Psychology of Aesthetics, Creativity, and the Arts, 13(1), 58. https://doi.org/10.1037/aca0000156
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  • Cumming, J., & Eaves, D.L. (2018). The nature, measurement, and development of imagery ability. Imagination, Cognition and Personality, 37(4), 375 393. https://doi.org/10.1177/0276236617752439
  • Deaver, S.P., & Shiflett, C. (2011). Art-based supervision techniques. The Clinical Supervisor, 30(2), 257-276. https://doi.org/10.1080/07325223.2011.619456
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  • Drake, J.E., Simmons, S., Rouser, S., Poloes, I., & Winner, E. (2021). Artists excel on image activation but not image manipulation tasks. Empirical Studies of the Arts, 39(1), 3–16. https://doi.org/10.1177/0276237419868941
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  • Heid, K., Estabrook, M., & Nostrant, C. (2009). Dancing with line: Inquiry, democracy, and aesthetic development as an approach to art education. International Journal of Education & the Arts, 10(3).
  • Holmes, E.A. & Mathew, A. (2010). Mental imagery in emotion and emotional disorders. Clinical Psychology Review, 30(3), 349-362. https://doi.org/10.1016/j.cpr.2010.01.001
  • Jankowska, D.M., & Karwowski, M. (2015). Measuring creative imagery abilities. Frontiers in Psychology, 6, 1591. https://doi.org/10.3389/fpsyg.2015.01591
  • Jankowska, D.M. & Karwowski, M. (2020). Mental imagery and creativity. https://doi.org/10.31234/osf.io/eyfxr
  • Jankowsky, K., Olaru, G., & Schroeders, U. (2020). Compiling measurement invariant short scales in cross–cultural personality assessment using ant colony optimization. European Journal of Personality, 34(3), 470-485. https://doi.org/10.1002/per.2260
  • Ji, J.L., Kavanagh, D.J., Holmes, E.A., MacLeod, C., & Di Simplicio, M. (2019). Mental imagery in psychiatry: Conceptual & clinical implications. CNS spectrums, 24(1), 114-126. https://doi.org/10.1017/S1092852918001487
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The mental imagery scale for art students: Building and validating a short form

Year 2024, , 589 - 607, 09.09.2024
https://doi.org/10.21449/ijate.1475980

Abstract

Mental imagery is a vital cognitive skill that significantly influences how reality is perceived while creating art. Its multifaceted nature reveals various dimensions of creative expression, amplifying the inherent complexities of measuring it. This study aimed to shorten the Mental Imagery Scale in Artistic Creativity (MISAC) via the Ant Colony Optimization algorithm (ACO), a metaheuristic methodology for developing psychometrically robust brief scales. Answering 63 items in the original version of MISAC demands a higher cognitive load and, consequently, more time. Therefore, our goal was to shorten it while preserving its psychometric properties. In this study, responses to the MISAC were obtained from 500 undergraduate students enrolled in an art education program. The items on the short form of the MISAC were selected based on pre-specified validity criteria and content representability. The 28-item short form of MISAC demonstrated comparable performance to the original version regarding construct validity, criteria-related validity, and reliability coefficients. Moreover, strict invariance was attained across both gender groups in the validation process of the short form. These results highlight the utility of the shortened version of the MISAC as a valid measure with minimal loss of information of scores compared to the full version.

References

  • Andrade, J., May, J., Deeprose, C., Baugh, S.J., and Ganis, G. (2014). Assessing vividness of mental imagery: The Plymouth Sensory Imagery Questionnaire. British Journal of Psychology, 105, 547-563. https://doi.org/10.1111/bjop.12050
  • Arshamian, A., & Larsson, M. (2014). Same but different: The case of olfactory imagery. Frontiers Psychology, 5, 34. https://doi.org/10.3389/fpsyg.2014.00034
  • Basarkod, G., Sahdra, B., & Ciarrochi, J. (2018). Body image-acceptance and action questionnaire-5: An abbreviation using genetic algorithms. Behavior Therapy, 49(3), 388-402. https://doi.org/10.1016/j.beth.2017.09.006.
  • Betts, G.H. (1909). The distribution and functions of mental imagery. New York, Columbia University.
  • Bhattacharya, J., & Petsche, H. (2002). Shadows of artistry: cortical synchrony during perception and imagery of visual art. Cognitive Brain Research, 13(2), 179 186. https://doi.org/10.1016/S0926-6410(01)00110-0
  • Botes, E., Dewaele, J.M., & Greiff, S. (2021). The development and validation of the short form of the foreign language enjoyment scale. The Modern Language Journal, 105(4), 858-876. https://doi.org/10.1111/modl.12741
  • Bowns, R., Loeffelman, J.E., Steinley, D., & Sher, K.J. (2022). A brief young adult alcohol problems screening test: Short form development using combinatorics. Journal of American College Health, 1-7. https://doi.org/10.1080/07448481.2022.2095870
  • Brunner, M., Nagy, G., & Wilhelm, O. (2012). A tutorial on hierarchically structured constructs. Journal of Personality, 80, 796-846. https://doi.org/10.1111/j.1467-6494.2011.00749.x
  • Bulut, O. (2020). Testing for Measurement Invariance in R. Retrieved from https://okan.cloud/posts/2020-12-21-testing-for-measurement-invariance-in-r/
  • Calabrese, L., & Marucci, F.S. (2006). The influence of expertise level on the visuo-spatial ability: Differences between experts and novices in imagery and drawing abilities. Cognitive Processing, 7(1). 118-120. https://doi.org/10.1007/s10339-006-0094-2.
  • Carr, T., Moss, T., & Harry, D. (2005). The DAS24: A short form of the Derriford Appearance Scale DAS59 to measure individual responses to living with problems of appearance. British Journal of Health Psychology, 10(2), 285 298. https://doi.org/10.1348/135910705X27613
  • Chamberlain, R., Drake, J.E., Kozbelt, A., Hickman, R., Siev, J., & Wagemans, J. (2019). Artists as experts in visual cognition: An update. Psychology of Aesthetics, Creativity, and the Arts, 13(1), 58. https://doi.org/10.1037/aca0000156
  • Chen, F.F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14, 464 504. https://doi.org/10.1080/10705510701301834
  • Cornelissen, J.P., & Clarke, J.S. (2010). Imagining and rationalizing opportunities: Inductive reasoning and the creation and justification of new ventures. Academy of Management Review, 35(4), 539-557. https://doi.org/10.5465/amr.35.4.zok539
  • Cumming, J., & Eaves, D.L. (2018). The nature, measurement, and development of imagery ability. Imagination, Cognition and Personality, 37(4), 375 393. https://doi.org/10.1177/0276236617752439
  • Deaver, S.P., & Shiflett, C. (2011). Art-based supervision techniques. The Clinical Supervisor, 30(2), 257-276. https://doi.org/10.1080/07325223.2011.619456
  • Deneubourg, J.L., Pasteels, J.M., & Verhaeghe, J.C. (1983). Probabilistic behaviour in ants: A strategy of errors? Journal of Theoretical Biology, 105, 259 271. https://doi.org/10.1016/S0022-5193(83)80007-1
  • Dilmac, O., & Kucuoglu, A. (2010). Güzel sanatlar eğitimi bölümleri resim-iş eğitimi anabilimdallarinda sunum dosyasina dayali özel yetenek sinav modeli [A sample of special ability test based on portfolio at the fine arts teaching departments]. Journal of Institute of Fine Arts, 18, 63-77.
  • Dodson, B. (2013). Keys to drawing with imagination: Strategies and exercises for gaining confidence and enhancing your creativity. Pegasus Press.
  • Dogan, B.G., Bulut, H.C. (2024) Abbreviation of parenting behaviors and temperament in children scales using genetic algorithms. Current Psychology, 43, 7044 7058. https://doi.org/10.1007/s12144-023-04863-z
  • Drake, J.E., Simmons, S., Rouser, S., Poloes, I., & Winner, E. (2021). Artists excel on image activation but not image manipulation tasks. Empirical Studies of the Arts, 39(1), 3–16. https://doi.org/10.1177/0276237419868941
  • Duncun, P. (2001). Visual culture: Developments, definitions, and directions for art education. Studies in Art Education, 42(2), 101 112. https://doi.org/10.1080/00393541.2001.11651691
  • Efland, A.D. (2002). Art and cognition: Integrating the visual arts in the curriculum. Teachers College Press.
  • Hetland, L., Winner, E., Veenema, S., & Sheridan, K.M. (2007). Studio thinking: The real benefits of visual arts education. Teachers College Press.
  • Heid, K., Estabrook, M., & Nostrant, C. (2009). Dancing with line: Inquiry, democracy, and aesthetic development as an approach to art education. International Journal of Education & the Arts, 10(3).
  • Holmes, E.A. & Mathew, A. (2010). Mental imagery in emotion and emotional disorders. Clinical Psychology Review, 30(3), 349-362. https://doi.org/10.1016/j.cpr.2010.01.001
  • Jankowska, D.M., & Karwowski, M. (2015). Measuring creative imagery abilities. Frontiers in Psychology, 6, 1591. https://doi.org/10.3389/fpsyg.2015.01591
  • Jankowska, D.M. & Karwowski, M. (2020). Mental imagery and creativity. https://doi.org/10.31234/osf.io/eyfxr
  • Jankowsky, K., Olaru, G., & Schroeders, U. (2020). Compiling measurement invariant short scales in cross–cultural personality assessment using ant colony optimization. European Journal of Personality, 34(3), 470-485. https://doi.org/10.1002/per.2260
  • Ji, J.L., Kavanagh, D.J., Holmes, E.A., MacLeod, C., & Di Simplicio, M. (2019). Mental imagery in psychiatry: Conceptual & clinical implications. CNS spectrums, 24(1), 114-126. https://doi.org/10.1017/S1092852918001487
  • Kleka, P., & Soroko, E. (2018). How to avoid the sins of questionnaires abridgement? Survey Research Methods, 12(2), 147-160. https://doi.org/10.18148/srm/2018.v12i2.7224
  • Kosslyn, S.M., Ganis, G., & Thompson, W.L. (2001). Neural foundations of imagery. Nature Reviews Neuroscience, 2, 635-642. https://doi.org/10.1038/35090055
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There are 81 citations in total.

Details

Primary Language English
Subjects Measurement and Evaluation in Education (Other)
Journal Section Articles
Authors

Handan Narin Kızıltan 0000-0002-2164-8389

Hatice Cigdem Bulut 0000-0003-2585-3686

Early Pub Date August 27, 2024
Publication Date September 9, 2024
Submission Date April 30, 2024
Acceptance Date July 21, 2024
Published in Issue Year 2024

Cite

APA Narin Kızıltan, H., & Bulut, H. C. (2024). The mental imagery scale for art students: Building and validating a short form. International Journal of Assessment Tools in Education, 11(3), 589-607. https://doi.org/10.21449/ijate.1475980

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