scholarly journals Emic and Etic

Author(s):  
Till Mostowlansky ◽  
Andrea Rota
Keyword(s):  
2013 ◽  
Vol 21 (7) ◽  
pp. 1239-1247 ◽  
Author(s):  
Xinjian WANG ◽  
Mengwei SHI
Keyword(s):  

Author(s):  
John B. Ford ◽  
Douglas C. West ◽  
Adrian Sargeant

1999 ◽  
Vol 24 (4) ◽  
pp. 781-796 ◽  
Author(s):  
Michael W. Morris ◽  
Kwok Leung ◽  
Daniel Ames ◽  
Brian Lickel

2016 ◽  
pp. 297-298
Author(s):  
Nazia Ali
Keyword(s):  

2021 ◽  
Vol 12 (1) ◽  
pp. 193-218
Author(s):  
Eko Yulianto ◽  
Wahyudin Wahyudin ◽  
Ahmad Tafsir ◽  
Sufyani Prabawanto

Ethno-mathematical research trends pioneered by D'Ambrosio are on the rise, especially in Indonesia as a nation with high cultural diversity which has a lot of potential researches to be explored. This paper has two major objectives, first to explore the importance of the role of mathematics in the practice of Dhikr Jahar in Tariqa Qodiriyyah Naqsyabandiyyah and second to contrast the differences between mathematical phenomena and mathematical concepts in ethnomathematics research. Attempts to contrast the mathematical phenomena and mathematical concepts in ethnomathematics was expected to provide a sharper highlight in the writing of ethnomathematics research. This research used qualitative methods with two approaches, namely ethnography and phenomenology. The locations of the research are at Pondok Pesantren Suryalaya-Sirnarasa and Padepokan Talangraga Tasikmalaya with observations for 9 months in the first stage and then 6 months in the second stage. The number of respondents interviewed in this research were 48 people. Data processing was performed using the Nvivo 12 Plus. The results showed that there are many mathematical phenomena in the practice of Dhikr Jahar Ikhwan TQN. In carrying out the practice of dhikr, the Ikhwan used a mathematical concept with two events, fingers and prayer beads aids. The concept of counting in dhikr was used strictly by the Ikhwan. They believe that numbers have an important role in the quantity of dhikr. Contrasting mathematical phenomena and mathematical concepts can be done with an emic and etic approach and is expected to become an alternative style in ethnomathematics research. 


2018 ◽  
Vol 56 (1) ◽  
pp. 39-74 ◽  
Author(s):  
Brian A. Burt ◽  
Krystal L. Williams ◽  
Gordon J. M. Palmer

Black men, underrepresented in engineering, constitute a missing segment of the population who could contribute to the global knowledge economy. To address this national concern, stakeholders need additional research on strategies that aid in Black men’s persistence. This study explores the experiences of 30 Black men in engineering graduate programs. Three factors are identified as helping them persist from year to year, and in many cases through completion of the doctorate: the role of family, spirituality and faith-based community, and undergraduate mentors. The article concludes with implications for future research and professional practice that may improve the experiences of Black men in engineering graduate programs, which may also increase the chances that they will remain in the engineering workforce.


2017 ◽  
Vol 2 (3-4) ◽  
pp. 98-119
Author(s):  
Wenjie Duan ◽  
Wenlong Mu ◽  
He Bu

Culture significantly influences human cognition and behavior, which has become a major obstacle in cross-cultural studies. Comparing traditional sampling studies (i.e., small data research) with the novelty of millions of samples studies (i.e., big data research), we suggest that the results of the finely controlled, precisely sampled, and accurately analyzed theory-driven small-data research can be replicated by big data studies. This conclusion has been illustrated by recent studies on structures of character strengths that were conducted in both western and eastern countries. Therefore, big data studies that take into account both emic and etic components will be an important approach to conduct cross-cultural research. It facilitates the construction of theories and measures with cross-cultural consistency. Nevertheless, it should be noted that “small data” and “big data” studies are complementary and should not be treated as substitutes for one another.


Sign in / Sign up

Export Citation Format

Share Document