Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
**Categorization of Multivariate Map Symbols (CMMS) method V1:** - First method draft appeared in Diploma theses (Knedlová, 2016; Trnková, 2017; Lacko, 2018) supervised by Čeněk Šašinka and Zdeněk Stachoň. - The CMMS V1 was created on the basis of those theses and it was published in english (see **Lacko, Šašinka, Čeněk, Stachoň & Lu, 2020**). - The CMMS V1 contains 20 cartographic maps used in open-ended format. **Categorization of Multivariate Map Symbols (CMMS) method V2:** - The CMMS V2 is improved CMMS V1. - The CMMS V2 contains 10 original maps with highest DIF and without any cross-areas used in open-ended format (i.e., subtest 1). - Moreover, it contains 10 new maps which are used in forced-choice format (i.e., subtest 2). - The CMMS V2 is currently used in the follow-up eye-tracking study. **Main reference:** Lacko, D., Šašinka, Č., Čeněk, J., Stachoň, Z., & Lu, W. (2020). Cross-Cultural Differences in Cognitive Style, Individualism/Collectivism and Map Reading between Central European and East Asian University Students. *Studia Psychologica 62* (1), 23-43. https://doi.org/10.31577/sp.2020.01.789. **References:** Knedlová, P. (2016). *The influence of cognitive style on map reading* (Diploma Thesis). Masaryk University. https://is.muni.cz/th/n238q/. Trnková, E. (2017). *Cartographic visualization of multidimensional data* (Diploma Thesis). Masaryk University. https://is.muni.cz/th/rzzui/. Lacko, D. (2018). *The individual and intercultural differences in perception and cognition* (Diploma Thesis). Masaryk University. https://is.muni.cz/th/cf1aq/.
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.