Evaluation of environmental design students’ sectioning skill with the Turkish version of the Santa Barbara Solids Test

Authors

Keywords:

Design education, Environmental design, Sectioning skill, Spatial ability, The SBST

Abstract

Given the significance of sectioning skill in higher education and its malleability through training, it is imperative to measure this spatial skill and track its development by using an appropriate instrument. The Santa Barbara Solids Test is a spatial test that can be used for this purpose. However, it has been tested or used mainly with English-speaking science students. To determine whether a Turkish version of this test can be used in a culturally distinct population of design students, a two-phase study was therefore undertaken. The test’s validity and reliability were initially evaluated in 173 students. Next, another sample of 200 students took the test to assess whether test scores varied by student characteristics, as in the previous studies. The results demonstrated that the psychometric properties of the Turkish version were satisfactory. A significant correlation between students’ test scores and perceived spatial ability levels was found. Additionally, the test scores varied significantly by students’ experience, department, and gender. From these findings, it can be concluded that the Turkish version of the test is psychometrically sound and can be used to measure and monitor the development of sectioning skill in Turkish design students.

References

Atit, K., Gagnier, K., & Shipley, T. F. (2015). Student gestures aid penetrative thinking. Journal of Geoscience Education, 63(1), 66-72. https://doi.org/10.5408/14-008.1

Baenniger, M., & Newcombe, N. (1989). The role of experience in spatial test performance: A meta-analysis. Sex Roles, 20, 327-344. https://doi.org/10.1007/BF00287729

Bartlett, K. A., & Camba, J. D. (2023). Gender differences in spatial ability: A critical review. Educational Psychology Review 35(8), Article 8. https://doi.org/10.1007/s10648-023-09728-2

Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186-3191.

Berkan, S. T., Oztas, S. K., Kara, F. İ., & Vardar, A. E. (2020). The role of spatial ability on architecture education. Design and Technology Education: An International Journal, 25(3), 103-126.

Berkowitz, M., Gerber, A., Thurn, C. M., Emo, B., Hoelscher, C., & Stern, E. (2021). Spatial abilities for architecture: Cross sectional and longitudinal assessment with novel and existing spatial ability tests. Frontiers in Psychology, 11, Article 609363. https://doi.org/10.3389/fpsyg.2020.609363

Carmines, E. G., & McIver, J. P. (1983). An introduction to analysis of models with unobserved variables. Political Methodology, 9(1), 51-102.

Cho, J. Y., & Suh, J. (2021). The architecture and interior design domain-specific spatial ability test (AISAT): Its validity and reliability. Journal of Interior Design, 47(2), 11-30. https://doi.org/10.1111/joid.1221

Cohen, C., & Bairaktarova, D. (2018). A cognitive approach to spatial visualization assessment for first-year engineering students. Engineering Design Graphics Journal, 82(3), 1-19. http://www.edgj.org/index.php/EDGJ/article/view/702

Cohen, C. A., & Hegarty, M. (2007). Sources of difficulty in imagining cross sections of 3D objects. In D. S. McNamara & J. G. Trafton (Eds.), Proceedings of the Annual Meeting of Cognitive Science Society (pp. 179-184). Cognitive Science Society.

Cohen, C. A., & Hegarty, M. (2012). Inferring cross sections of 3D objects: A new spatial thinking test. Learning and Individual Differences, 22(6), 868-874. https://doi.org/10.1016/j.lindif.2012.05.007

Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics. Sage.

George, D., & Mallery, P. (2020). IBM SPSS statistics 26: Step by step: A simple guide and reference. Routledge. https://doi.org/10.4324/9780429056765

Gerber, A., Berkowitz, M., Emo, B., Kurath, S., Holscher, C., & Stern, E. (2019). Does space matter? A cross- disciplinary investigation upon spatial abilities of architects. In C. Leopold, C. Robeller & U. Weber (Eds.), Research Culture in Architecture: Cross-Disciplinary Collaboration (pp. 121-169). Birkhauser.

Gomez-Tone, H. C., Martin-Gutierrez, J., Bustamante-Escapa, J., & Bustamante-Escapa, P. (2021). Spatial skills and perceptions of space: Representing 2D drawings as 3D drawings inside immersive virtual reality. Applied Sciences, 11(4), Article 1475. https://doi.org/10.3390/app11041475

Ha, O., & Brown, S. (2017, June 24−28). Spatial Reasoning Difference between Civil and Mechanical Engineering Students in Learning Mechanics of Materials Course: A Case of Cross-Sectional Inference [Conference Presentation]. ASEE Annual Conference & Exposition, Columbus, OH, United States. https://peer.asee.org/28836

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multi Variate Data Analysis. Cengage.

Halpern, D. F. (2012). Sex differences in cognitive abilities. Psychology Press. https://doi.org/10.4324/9780203816530

Hambleton, R. K., & Patsula, L. (1999). Increasing the validity of adapted tests: Myths to be avoided and guidelines for improving test adaptation practices. Journal of Applied Testing Technology, 1(1), 1-13.

Hegarty, M., Keehner, M., Cohen, C., Montello, D. R., & Lippa, Y. (2007). The role of spatial cognition in Medicine: Applications for selecting and training professionals. In G. L. Allen (Ed.), Applied Spatial Cognition from Research to Cognitive Technology (pp. 285-315). Psychology Press. https://doi.org/10.4324/9781003064350

Hegarty, M., Keehner, M., Khooshabeh, P., & Montello, D. R. (2009). How spatial abilities enhance and are enhanced by dental education. Learning and Individual Differences, 19(1), 61-70. https://doi.org/10.1016/j.lindif.2008.04.006

Hegarty, M., & Waller, D. A. (2005). Individual differences in spatial abilities. In P. Shah & A. Miyake (Eds.), The Cambridge Handbook of Visuospatial Thinking (pp. 121-169). Cambridge University Press. https://doi.org/10.1017/CBO9780511610448.005

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modelling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/107055199909540118

Humphreys, L. G., Lubinski, D., & Yao, G. (1993). Utility of predicting group membership and the role of spatial visualization in becoming an engineer, physical scientist, or artist. Journal of Applied Psychology, 78(2), 250-261. https://doi.org/10.1037/0021-9010.78.2.250

Kali, Y., & Orion, N. (1996). Spatial abilities of high-school students in the perception of geologic structures. Journal of Research in Science Teaching, 33(4), 369-391. https://doi.org/10.1002/(SICI)1098-2736(199604)33:4<369::AID-TEA2>3.0.CO;2-Q

Kell, H. J., Lubinski, D., Benbow, C. P., & Steiger, J. H. (2013). Creativity and technical innovation: Spatial ability’s unique role. Psychological Science, 24(9), 1831-1836. https://doi.org/10.1177/09567976134786

Kerkman, D. D., Wise, J. C., & Harwood, E. A. (2000). Impossible “mental rotation” problems: A mismeasure of of women’s spatial abilities? Learning and Individual Differences, 12(3), 253-269. https://doi.org/10.1016/S1041-6080(01)00039-5

Lai, K., & Green, s. B. (2016). The problem with having two watches: Assessment of fit when RMSEA and CFI disagree. Multivariate Behavioral Research, 51(2-3), 220-239. https://doi.org/10.1080/00273171.2015.1134306

Lang, J. W. B., & Kell, H. J. (2020). General mental ability and specific abilities: Their relative importance for extrinsic career success. Journal of Applied Psychology, 105(9), 1047-1061. https://doi.org/10.1037/apl0000472

Lin, H. (2016). Influence of design training and spatial solution strategies on spatial ability performance. International Journal of Technology and Design Education, 26, 123-131. https://doi.org/10.1007/s10798-015-9302-7

Lohman, D. F. (1994). Spatial ability. In R. J. Sternberg (Ed.), Encyclopaedia of Human Intelligence (pp. 1000-1007). Macmillan Publishing Company.

Meyer, J. P. (2010). Understanding measurement: Reliability. Oxford University Press.

Netemeyer, R. G., Bearden, W. O., & Sharma, S. (2003). Scaling procedures: Issues and applications. Sage. https://doi.org/10.4135/9781412985772

Newcombe, N. S., Mathason, L., & Terlecki, M. (2002). Maximization of spatial competence: More important than finding the cause of sex differences. In A. McGillicuddy-De Lisi & R. De Lisi (Eds.), Biology, Society, and Behavior: The Development of Sex Differences in Cognition (pp. 183-206). Ablex Publishing.

Newcombe, N. S., & Shipley, T. F. (2014). Thinking about spatial thinking: New typology, new assessments. In J. S. Gero (Ed.), Studying Visual and Spatial Reasoning for Design Creativity (pp. 179-192). Springer. https://doi.org/10.1007/978-94-017-9297-4_10

Pallant, J. (2007). SPSS survival manual: A step by step guide to data analysis using SPSS for Windows. Open University Press.

Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489-497. https://doi.org/10.1002/nur.20147

Power, J., Buckley, J., & Seery, N. (2016, January 24−26). Visualizing Success: Investigating the Relationship between Ability and Self-Efficacy in the Domain of Visual Processing [Conference Presentation]. ASEE EDGD 70th Midyear Conference, Daytona Beach, FL, United States. https://commons.erau.edu/asee-edgd/conference70/

Safadel, P., White, D., & Kia, A. (2023). Spatial self-efficacy and spatial ability: An analysis of their relationship. New Review of Hypermedia and Multimedia, 29(2), 114-150. https://doi.org/10.1080/13614568.2023.2248057

Schermelleh-Engel, K., Moosbrugger, H., & Muller, H. (2003). Evaluating the fit of structural equation models: Test of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74. https://doi.org/10.23668/psycharchives.12784

Schumacker, R. E., & Lomax, R. G. (2010). A Beginner’s Guide to Structural Equation Modelling. Routledge.

Shea, D. L., Lubinski, D., & Benbow, C. P. (2001). Importance of assessing spatial ability in intellectually talented young adolescents: A 20-year longitudinal study. Journal of Educational Psychology, 93(3), 604-614. https://doi.org/10.1037/0022-0663.93.3.604

Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4-11. https://doi.org/10.12691/ajams-9-1-2

Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48, 1273-1296. https://doi.org/10.1007/s11165-016-9602-2

Towle, E., Mann, J., Kinsey, B., O’Brien, E. J., Bauer, C. F., & Champoux, R. (2005, October 19−22). Assessing the Self-Efficacy and Spatial Ability of Engineering Students from Multiple Disciplines [Conference Presentation]. 35th ASEE/IEEE Frontiers in Education Conference, Indianapolis, IN, United States.

Tsutsumi, E., Schrocker, H. P., Stachel, H., & Weiss, G. (2005). Evaluation of students’ spatial abilities in Austria and Germany. Journal for Geometry and Graphics, 9(1), 107-117.

Turgut, M. (2015). Development of the Spatial Ability Self-report Scale (SASRS): Reliability and validity studies. Quality and Quantity, 49, 1997-2014. https://doi.org/10.1007/s11135-014-0086-8

Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren C., & Newcombe, N. S. (2013). The malleability of spatial skills: A meta-analysis of training studies. Psychological Bulletin, 139(2), 352-402. https://doi.org/10.1037/a0028446

Villaume, W. A., & Weaver, J. B. (1996). A factorial approach to establish reliable listening measures from the WBLOT and the KCLT: Full information factor analysis of dichotomous data. International Journal of Listening, 10(1), 1-20. https://doi.org/10.1207/s1932586xijl1001_1

Wai, J., Lubinski, D., & Benbow, C. P. (2009). Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance. Journal of Educational Psychology, 101(4), 817-835. https://doi.org/10.1037/a0016127

Wang, B., Rau, P. P., & Yuan, T. (2023). Measuring user competence in using artificial intelligence: Validity and reliability of artificial intelligence literacy scale. Behaviour and Information Technology, 42(9), 1324-1337. https://doi.org/10.1080/0144929X.2022.2072768

Webb, R. M., Lubinski, D., & Benbow, C. P. (2007). Spatial ability: A neglected dimension in talent searches for intellectually precocious youth. Journal of Educational Psychology, 99(2), 397-420. https://doi.org/10.1037/0022-0663.99.2.397

Yan, X., & Su, X. G. (2009). Linear regression analysis: Theory and computing. World Scientific. https://doi.org/10.1142/6986

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Published

2026-06-01