The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Quantitative Data in Ethnography With Asian Reflections
|
|
Author(s): Parimal Roy (University of Malaya, Malaysia), Jahid Siraz Chowdhury (Lincoln University College, Malaysia), Haris Wahab (University of Malaya, Malaysia), Mohd Rashid Mohd Saad (University of Malaya, Malaysia)and Sanjay Krishno Biswas (Shahjalal University of Science and Technology, Bangladesh)
Copyright: 2023
Pages: 21
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch164
Purchase
|
Abstract
This article discusses how ethnographic techniques work to conduct statistical analysis in anthropological research on the Indigenous community. At the same time, it explores how to use statistical techniques to expand anthropology and capacity and other qualitative approaches to research. It limits us in some ways to the questions we may ask in the digital age, between qualitative and quantitative research methods, between science and humanity, and between numbers and understanding. Yet, quantitative ethnography is a 'complement' to a research method that supports our growing data. It will help to understand how we can take our place in the rich world.
Related Content
|
Princy Pappachan, Sreerakuvandana, Mosiur Rahaman.
© 2024.
26 pages.
|
|
Winfred Yaokumah, Charity Y. M. Baidoo, Ebenezer Owusu.
© 2024.
23 pages.
|
|
Mario Casillo, Francesco Colace, Brij B. Gupta, Francesco Marongiu, Domenico Santaniello.
© 2024.
25 pages.
|
|
Suchismita Satapathy.
© 2024.
19 pages.
|
|
Xinyi Gao, Minh Nguyen, Wei Qi Yan.
© 2024.
13 pages.
|
|
Mario Casillo, Francesco Colace, Brij B. Gupta, Angelo Lorusso, Domenico Santaniello, Carmine Valentino.
© 2024.
30 pages.
|
|
Pratyay Das, Amit Kumar Shankar, Ahona Ghosh, Sriparna Saha.
© 2024.
32 pages.
|
|
|