Exploring the Relation Between Spatial Abilities and STEM Expertise

The csv file contains all participants' scores in each spatial thinking factor. <br> The R script contains the necessary workflow for reproducing the results reported in the paper. <br> All statistical analyses have been performed in R (R Core Team, 2021), using: “tidyverse” (Wickham et al., 2019), “DescTools “(Andri et al., 2022), “gdata (Warnes et al., 2022), “ggstatsplot” (Patil, 2021), “corrplot” (Wei &amp; Simko, 2021), “pcal” (Fonseca &amp; Paulo, 2020) and “effectsize” (Ben-Shachar et al., 2020) packages. Andri S. et mult. al. (2022). DescTools: Tools for Descriptive Statistics. R package version 0.99.45, https://cran.r-project.org/package=DescTools Ben-Shachar, M., Lüdecke, D., &amp; Makowski, D. (2020). effectsize: Estimation of Effect Size Indices and Standardized Parameters. <em>Journal of Open Source Software</em>, 5(56), 2815. https://doi.org/10.21105/joss.02815 Fonseca, P. &amp; Paulo, R. (2020). pcal: Calibration of P-values for Point Null Hypothesis Testing, R package version 1.1.0. https://pedro-teles-fonseca.github.io/pcal/ Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach. <em>Journal of Open Source Software</em>, 6(61), 3167. https://doi.org/10.21105/joss.03167 R Core Team: R (2021). <em>A language and environment for statistical computing</em>. R Foundation for Statistical Computing, https://www.R-project.org Warnes, G. R. et mult. Al (2022). ‘gdata’: Various R Programming Tools for Data Manipulation Version 2.18.0.1, https://CRAN.R-project.org/package=gdata Wei, T., Simko, V. (2021). R package 'corrplot': Visualization of a Correlation Matrix. (Version 0.92), https://github.com/taiyun/corrplot Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L.D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T.L., Miller, E., Bache, S.M., Müller, K., Ooms, J., Robinson, D., Seidel, D.P., Spinu, V., Takahashi, K., Vaughan, D., Wilke, C., Woo, K., Yutani, H. (2019). Welcome to the tidyverse, <em>Journal of Open Source Software</em>, 4(43), 1686. https://doi.org/10.21105/joss.01686.