2.50
Hdl Handle:
http://hdl.handle.net/10755/164658
Category:
Abstract
Type:
Presentation
Title:
IMPROVING INTERCODER AGREEMENT IN QUALITATIVE ANALYSIS
Author(s):
Fonteyn, Marsh; Vettese, Margaret; Bauer-Wu, Susan; Lancaster, Diane
Author Details:
Marsh Fonteyn, RN, PhD, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Margaret Vettese, PhD, RN; Susan Bauer-Wu, DNSc, RN; Diane Lancaster, PhD, RN
Abstract:
To address the methodological issues of intercoder agreement and the use of a qualitative software program (QSR NVIVO 2) with multiple researchers, a codebook was carefully developed and refined by four nurse scientists, to serve as a guide for analyzing expressive writing (EW) transcripts from women with metastatic breast cancer. Use of a team-based approach and NVivo software can reduce the labor-intensive task of qualitative data analysis. Development of a codebook for team-based analysis can provide a reliable guide for on-line coding, improve intercoder agreement and reduce coding time. This secondary data analysis project originated from a larger intervention study that produced 89 EW transcripts about women’s experiences of living with their breast cancer. The codebook structure evolved over a six-month period to include numerous codes, their definitions, the guidelines for when to use or not use a specific code, and examples of illustrative passages from the transcripts. Initially, each team member independently analyzed three randomly chosen transcripts, coding the text by hand and creating tentative definitions for each code. The team then met to reach consensus on the codes and their definitions. Thus, an initial codebook was created to use as a guide for the analysis of additional sets of randomly chosen transcripts. This iterative method was followed until consensus was reached on all codes, their definitions and use. Throughout the coding process, the team met regularly to discuss coding decisions and resolve discrepancies. Memos were created to track this process and other insights that emerged while coding and reflecting on the data. This methodological approach reduces the amount of coding time required for a large data set and improves intercoder agreement for the ongoing analysis. Once a codebook is developed, a coding process can be mastered and intercoder agreement established. The remaining transcripts can then be divided among team members for coding and entry into a software program, such as NVivo. The use of a codebook and specialized software provides many advantages for enabling a research team to code a large amount of qualitative data while maintaining intercoder reliability.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2005
Conference Name:
30th Annual Oncology Nursing Society Congress
Conference Host:
Oncology Nursing Society
Conference Location:
Orlando, Florida, USA
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titleIMPROVING INTERCODER AGREEMENT IN QUALITATIVE ANALYSISen_GB
dc.contributor.authorFonteyn, Marshen_US
dc.contributor.authorVettese, Margareten_US
dc.contributor.authorBauer-Wu, Susanen_US
dc.contributor.authorLancaster, Dianeen_US
dc.author.detailsMarsh Fonteyn, RN, PhD, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Margaret Vettese, PhD, RN; Susan Bauer-Wu, DNSc, RN; Diane Lancaster, PhD, RNen_US
dc.identifier.urihttp://hdl.handle.net/10755/164658-
dc.description.abstractTo address the methodological issues of intercoder agreement and the use of a qualitative software program (QSR NVIVO 2) with multiple researchers, a codebook was carefully developed and refined by four nurse scientists, to serve as a guide for analyzing expressive writing (EW) transcripts from women with metastatic breast cancer. Use of a team-based approach and NVivo software can reduce the labor-intensive task of qualitative data analysis. Development of a codebook for team-based analysis can provide a reliable guide for on-line coding, improve intercoder agreement and reduce coding time. This secondary data analysis project originated from a larger intervention study that produced 89 EW transcripts about women’s experiences of living with their breast cancer. The codebook structure evolved over a six-month period to include numerous codes, their definitions, the guidelines for when to use or not use a specific code, and examples of illustrative passages from the transcripts. Initially, each team member independently analyzed three randomly chosen transcripts, coding the text by hand and creating tentative definitions for each code. The team then met to reach consensus on the codes and their definitions. Thus, an initial codebook was created to use as a guide for the analysis of additional sets of randomly chosen transcripts. This iterative method was followed until consensus was reached on all codes, their definitions and use. Throughout the coding process, the team met regularly to discuss coding decisions and resolve discrepancies. Memos were created to track this process and other insights that emerged while coding and reflecting on the data. This methodological approach reduces the amount of coding time required for a large data set and improves intercoder agreement for the ongoing analysis. Once a codebook is developed, a coding process can be mastered and intercoder agreement established. The remaining transcripts can then be divided among team members for coding and entry into a software program, such as NVivo. The use of a codebook and specialized software provides many advantages for enabling a research team to code a large amount of qualitative data while maintaining intercoder reliability.en_GB
dc.date.available2011-10-27T12:04:41Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T12:04:41Z-
dc.conference.date2005en_US
dc.conference.name30th Annual Oncology Nursing Society Congressen_US
dc.conference.hostOncology Nursing Societyen_US
dc.conference.locationOrlando, Florida, USAen_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
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