Coding In-depth Semistructured Interviews: Problems of Unitization and Intercoder Reliability and Agreement
Coding In-depth Semistructured Interviews: Problems of Unitization and Intercoder Reliability and Agreement
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DOI：
10.1177/0049124113500475
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发表时间：
2013-08-01
影响因子：
6.3
通讯作者：
Pedersen, Ove K.
中科院分区：
文献类型：
--
作者：
Campbell, John L.;Quincy, Charles;Pedersen, Ove K.
许多社会科学研究都是基于经过编码的深度半结构化面试记录。但在这项工作中，研究人员很少报告或讨论编码的可靠性。关于这类数据的相关文献也不多。本文介绍了为此类数据开发编码方案的程序。它涉及对编码者工作的文本单位进行标准化，然后将编码方案的辨别能力(即减少编码错误)提高到编码者间可靠性或编码者间一致性的衡量标准所表明的可接受的程度。这种方法对于这样的情况特别有用，即一旦建立了编码方案，单个有知识的编码者将对所有抄本进行编码。这种方法也可以用于其他类型的定性数据和其他情况。
Many social science studies are based on coded in-depth semistructured interview transcripts. But researchers rarely report or discuss coding reliability in this work. Nor is there much literature on the subject for this type of data. This article presents a procedure for developing coding schemes for such data. It involves standardizing the units of text on which coders work and then improving the coding scheme's discriminant capability (i.e., reducing coding errors) to an acceptable point as indicated by measures of either intercoder reliability or intercoder agreement. This approach is especially useful for situations where a single knowledgeable coder will code all the transcripts once the coding scheme has been established. This approach can also be used with other types of qualitative data and in other circumstances.