Addressing Methodological Challenges in Large Communication Data Sets: Collecting and Coding Longitudinal Interactions in Home Hospice Cancer Care
Addressing Methodological Challenges in Large Communication Data Sets: Collecting and Coding Longitudinal Interactions in Home Hospice Cancer Care
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DOI：
10.1080/10410236.2014.1000480
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发表时间：
2016-07-01
影响因子：
3.9
通讯作者：
Ellington, Lee
中科院分区：
文献类型：
--
作者：
Reblin, Maija;Clayton, Margaret F.;Ellington, Lee
在这篇文章中，我们提出的策略，收集和编码一个大型的纵向通信数据集收集在多个站点，包括超过2000小时的数字音频记录从大约300个家庭。我们描述了我们的方法在癌症家庭临终关怀护士访问期间实施大规模的通信研究的背景下，但这个过程可以适应各种设置的通信数据集。这项研究是第一个研究旨在捕捉家庭临终关怀护士照顾者沟通，一个高度欠研究的位置和类型的通信事件。我们提出了一个详细的示例协议，包括在家庭环境中的数据收集，大规模的，多站点的安全数据管理，基于理论的通信编码的发展，以及防止编码器漂移和确保分析的可靠性的策略。虽然这些挑战中的每一个都有可能破坏数据的实用性，但编码器之间的可靠性往往是文献中一致报告和解决的唯一问题。总的来说，我们的方法证明了严谨性，并提供了一个如何管理大型，数字记录的数据集从收集到分析的例子。这些策略可以为其他大规模的健康传播研究提供信息。
In this article, we present strategies for collecting and coding a large longitudinal communication data set collected across multiple sites, consisting of more than 2000hours of digital audio recordings from approximately 300 families. We describe our methods within the context of implementing a large-scale study of communication during cancer home hospice nurse visits, but this procedure could be adapted to communication data sets across a wide variety of settings. This research is the first study designed to capture home hospice nurse-caregiver communication, a highly understudied location and type of communication event. We present a detailed example protocol encompassing data collection in the home environment, large-scale, multisite secure data management, the development of theoretically-based communication coding, and strategies for preventing coder drift and ensuring reliability of analyses. Although each of these challenges has the potential to undermine the utility of the data, reliability between coders is often the only issue consistently reported and addressed in the literature. Overall, our approach demonstrates rigor and provides a how-to example for managing large, digitally recorded data sets from collection through analysis. These strategies can inform other large-scale health communication research.