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Do Open-ended Survey Questions On Migration Motives Create Coder Variability Problems?

机译:关于迁移动机的不限成员名额调查问题是否会造成编码员可变性问题?

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Contemporary research on migration has benefited from adopting a variety of methodological approaches and different sources of information to provide answers to the ever-recurring question of why people migrate. Yet, when it comes to central methods used for researching migration motives, progress appears to have been slow. This paper focuses on surveys to research migration motives using self-administered postal questionnaires. It addresses a key validity question, namely the issue of whether the usage of open-ended questions creates coder variability problems. An experimental research design was used where five coders independently coded 500 randomly selected responses from a large survey on migration motives. Krippendorff's α was calculated to test the level of agreement between the coders. The results advance our knowledge in two important ways: firstly, it is shown that coder variability is not a major problem (Krippendorff's α= 0.82). Secondly, it identifies those types of responses that nevertheless appear problematic to code. The implications of these findings for survey research on migration motives are discussed, and it is argued that open-ended questions have some distinct advantages compared with the more commonly used closed-ended questions.
机译:当代的移民研究得益于采用各种方法论方法和不同的信息来源,从而为人们为什么要移民的这一不断出现的问题提供了答案。但是,当涉及用于研究移民动机的主要方法时,进展似乎很缓慢。本文着重使用自我管理的邮政调查表进行调查,以研究移民动机。它解决了一个关键的有效性问题,即使用开放式问题是否会产生编码器可变性问题。使用了一项实验研究设计,其中五个编码员分别对大型迁移动机调查中的500个随机选择的响应进行了独立编码。计算Krippendorff的α以测试编码人员之间的一致性水平。结果以两种重要方式提高了我们的知识水平:首先,表明编码器可变性不是主要问题(Krippendorffα= 0.82)。其次,它确定了那些仍然对代码有问题的响应类型。讨论了这些发现对移民动机调查研究的意义,并且认为与开放式问题相比,开放式问题具有一些明显的优势。

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