Open Coding Descriptions
Open Coding Descriptions
复制标题
开放编码描述
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Hon.
中科院分区：
文献类型：
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作者：
B. Glaser;Hon.
开放编码是一个很大的描述来源，在进行GT研究时必须对其进行管理和控制。生成GT的目标是生成一组新兴的概念及其属性，这些概念及其属性适合并与相关性一起工作，以集成到理论中。为了实现这一目标，研究人员从开放编码开始他的研究，也就是以各种可能的方式对所有数据进行编码。这种开放编码的结果是对可能概念的大量描述，这些描述往往不适合新兴理论。因此，在这种情况下，研究人员最终会对不适用的概念进行许多不相关的描述。纠缠于对不适用概念的描述，从一开始就毁掉了成组理论。很难停下来。很容易产生困惑。将研究转换为QDA是一种简单的补救措施。严格关注新出现的概念是至关重要的，否则会迷失在开放的编码描述中。这一点很重要，无论描述可能变得多么有趣。一旦一个核心成为可能，选择性编码就可以开始，这将有助于控制在多个描述中丢失。
Open coding is a big source of descriptions that must be managed and controlled when doing GT research. The goal of generating a GT is to generate an emergent set of concepts and their properties that fit and work with relevancy to be integrated into a theory. To achieve this goal, the researcher begins his research with open coding, that is coding all his data in every possible way. The consequence of this open coding is a multitude of descriptions for possible concepts that often do not fit in the emerging theory. Thus in this case the researcher ends up with many irrelevant descriptions for concepts that do not apply. To dwell on descriptions for inapplicable concepts ruins the GT theory as it starts. It is hard to stop. Confusion easily sets in. Switching the study to a QDA is a simple rescue. Rigorous focusing on emerging concepts is vital before being lost in open coding descriptions. It is important, no matter how interesting the description may become. Once a core is possible, selective coding can start which will help control against being lost in multiple descriptions.