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Bridging the Qualitative and Quantitative Divide in Comparative Migration Studies: Newspaper Data and Political Ethnography in Mixed Method Research

机译:在比较迁移研究中弥合定性和定量鸿沟:混合方法研究中的报纸数据和政治人种志

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摘要

Newspaper data are popular in Comparative Migration Studies as they allow diachronic and cross-national comparison and are relatively easy and inexpensive to acquire. Critics, however, warn that newspaper data are hampered by selection, description and researcher bias. This article argues that research drawing on newspaper data can be improved by employing mixed methods to confirm and complement data and to analyze findings from different research paradigms. To demonstrate this claim, I ethnographically re-analyze part of the dataset of the Mobilisation on Ethnic Relations, Citizenship and Immigration (MERCI) project. I chose MERCI as publications based on its data, which I am well acquainted with, have inspired numerous researchers and European comparative research projects to pursue newspaper content analysis. This article shows how an ethnographic approach can address description bias and researcher unreliability, and reveal selection bias. It offers concrete suggestions for incorporating political ethnography into newspaper analysis. In doing so it advocates a new path for empirical research in Comparative Migration Studies, one that bridges the qualitative-quantitative divide. The conclusion encourages researchers on both sides of the quantitative-qualitative spectrum to reconsider habitual and safe research paradigms and move towards the middle to improve the quality of their work.
机译:报纸数据在比较移民研究中很流行,因为它们可以进行历时和跨国比较,并且相对容易获得且价格便宜。但是批评家警告说,报纸的数据会因选择,描述和研究人员的偏见而受到阻碍。本文认为,通过采用混合方法来确认和补充数据以及分析来自不同研究范式的发现,可以改善报纸数据的研究成果。为了证明这一主张,我在人种学上重新分析了“民族关系,公民权和移民动员”(MERCI)项目的部分数据集。我基于MERCI的数据选择了MERCI作为出版物,这激发了许多研究人员和欧洲比较研究项目进行报纸内容分析。本文说明了人种学方法如何解决描述偏差和研究人员的不可靠性,并揭示选择偏差。它为将政治民族志纳入报纸分析提供了具体建议。通过这样做,它为比较迁移研究中的经验研究提倡了一条新的道路,它弥合了质与量的鸿沟。该结论鼓励定量-定性谱两侧的研究人员重新考虑习惯性和安全性研究范式,并朝中间方向发展,以提高工作质量。

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    Mügge, L.M.;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 en
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