TY - JOUR
T1 - A Team-based Approach to Open Coding
T2 - Considerations for Creating Intercoder Consensus
AU - Cascio, M. Ariel
AU - Lee, Eunlye
AU - Vaudrin, Nicole
AU - Freedman, Darcy A.
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by a grant from the Centers for Disease Control and Prevention Preventive Health and Health Services Block Grant (award number 2B01OT009042-15) and by the U.S. Department of Agriculture Nutrition Education and Obesity Grant Program (award numbers G-1415-17-0847 and G-1617-0452).
Publisher Copyright:
© The Author(s) 2019.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - In this article, we discuss methodological opportunities related to using a team-based approach for iterative-inductive analysis of qualitative data involving detailed open coding of semistructured interviews and focus groups. Iterative-inductive methods generate rich thematic analyses useful in sociology, anthropology, public health, and many other applied fields. A team-based approach to analyzing qualitative data increases confidence in dependability and trustworthiness, facilitates analysis of large data sets, and supports collaborative and participatory research by including diverse stakeholders in the analytic process. However, it can be difficult to reach consensus when coding with multiple coders. We report on one approach for creating consensus when open coding within an iterative-inductive analytical strategy. The strategy described may be used in a variety of settings to foster efficient and credible analysis of larger qualitative data sets, particularly useful in applied research settings where rapid results are often required.
AB - In this article, we discuss methodological opportunities related to using a team-based approach for iterative-inductive analysis of qualitative data involving detailed open coding of semistructured interviews and focus groups. Iterative-inductive methods generate rich thematic analyses useful in sociology, anthropology, public health, and many other applied fields. A team-based approach to analyzing qualitative data increases confidence in dependability and trustworthiness, facilitates analysis of large data sets, and supports collaborative and participatory research by including diverse stakeholders in the analytic process. However, it can be difficult to reach consensus when coding with multiple coders. We report on one approach for creating consensus when open coding within an iterative-inductive analytical strategy. The strategy described may be used in a variety of settings to foster efficient and credible analysis of larger qualitative data sets, particularly useful in applied research settings where rapid results are often required.
UR - http://www.scopus.com/inward/record.url?scp=85063571149&partnerID=8YFLogxK
U2 - 10.1177/1525822X19838237
DO - 10.1177/1525822X19838237
M3 - Article
AN - SCOPUS:85063571149
VL - 31
SP - 116
EP - 130
JO - Field Methods
JF - Field Methods
SN - 1525-822X
IS - 2
ER -