2020
Cross-Cultural Differences in Cognitive Style, Individualism/Collectivism and Map Reading between Central European and East Asian University Students
LACKO, David; Čeněk ŠAŠINKA; Jiří ČENĚK; Zdeněk STACHOŇ; Wei-lun LU et al.Základní údaje
Originální název
Cross-Cultural Differences in Cognitive Style, Individualism/Collectivism and Map Reading between Central European and East Asian University Students
Autoři
Vydání
Studia Psychologica, Bratislava, Slovak Academy of Sciences, 2020, 0039-3320
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
50103 Cognitive sciences
Stát vydavatele
Slovensko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 0.850
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14210/20:00114072
Organizační jednotka
Filozofická fakulta
UT WoS
EID Scopus
Klíčová slova anglicky
cognitive style; cross-cultural differences; categorization; individualism/collectivism; analytic/holistic
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 26. 4. 2021 22:33, Mgr. David Lacko, Ph.D.
Anotace
V originále
The article examines cross-cultural differences encountered in the cognitive processing of specific cartographic stimuli. We conducted a comparative experimental study on 98 participants from two different cultures, the first group comprising Czechs (N = 53) and the second group comprising Chinese (N = 22) and Taiwanese (N = 23). The findings suggested that the Central European participants were less collectivistic, used similar cognitive style and categorized multivariate point symbols on a map more analytically than the Asian participants. The findings indicated that culture indeed influenced human perception and cognition of spatial information. The entire research model was also verified at an individual level through structural equation modelling (SEM). Path analysis suggested that individualism and collectivism was a weak predictor of the analytic/holistic cognitive style. Path analysis also showed that cognitive style considerably predicted categorization in map point symbols.
Návaznosti
| GC19-09265J, projekt VaV |
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