TY - GEN
T1 - Establishing Trustworthiness Through Algorithmic Approaches to Qualitative Research
AU - Nguyen, Ha
AU - Ahn, June
AU - Belgrave, Ashley
AU - Lee, Jiwon
AU - Cawelti, Lora
AU - Kim, Ha Eun
AU - Prado, Yenda
AU - Santagata, Rossella
AU - Villavicencio, Adriana
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Establishing trustworthiness is a fundamental component of qualitative research. In the following paper, we document how combining natural language processing (NLP), with human analysis by researchers, can help analysts develop insights from qualitative data and establish trustworthiness for the analysis process. We document the affordances of such an approach to strengthen three specific aspects of trustworthiness in qualitative research: credibility, dependability, and confirmability. We illustrate this workflow and shed light on its implications for trustworthiness from our own, recent research study of educators’ experiences with the 2020 COVID-19 pandemic; a context that compelled our research team to analyze our data efficiently to best aid the community, but also establish rigor and trustworthiness of our process.
AB - Establishing trustworthiness is a fundamental component of qualitative research. In the following paper, we document how combining natural language processing (NLP), with human analysis by researchers, can help analysts develop insights from qualitative data and establish trustworthiness for the analysis process. We document the affordances of such an approach to strengthen three specific aspects of trustworthiness in qualitative research: credibility, dependability, and confirmability. We illustrate this workflow and shed light on its implications for trustworthiness from our own, recent research study of educators’ experiences with the 2020 COVID-19 pandemic; a context that compelled our research team to analyze our data efficiently to best aid the community, but also establish rigor and trustworthiness of our process.
KW - Natural language processing
KW - Qualitative research
KW - Trustworthiness
UR - http://www.scopus.com/inward/record.url?scp=85101309997&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85101309997&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-67788-6_4
DO - 10.1007/978-3-030-67788-6_4
M3 - Conference contribution
AN - SCOPUS:85101309997
SN - 9783030677879
T3 - Communications in Computer and Information Science
SP - 47
EP - 61
BT - Advances in Quantitative Ethnography - Second International Conference, ICQE 2020, Proceedings
A2 - Ruis, Andrew R.
A2 - Lee, Seung B.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International Conference on Quantitative Ethnography, ICQE 2020
Y2 - 1 February 2021 through 3 February 2021
ER -