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Trajectory-based Qualitative Comparative Analysis: Accounting for case-based time dynamics

机译:基于轨迹的定性比较分析:核算基于案例的时间动态

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Qualitative comparative analysis was initially time-agnostic, but efforts to make the method more time-sensitive have been made since the mid-2000s. These attempts mainly focus on cross-case differences, accounting for change over time at the level of attributes or conditions. While useful, they cannot account for the fact that individual cases also develop over time. As such, strategies regarding 'within-case' development have remained under-theorized in qualitative comparative analysis (QCA). To address this gap, we propose trajectory-based qualitative comparative analysis (TJ-QCA) building on the logic of the diversity-oriented approach: meaningful within-case change is carefully defined in terms of development stages that capture qualitative case-based change patterns. We conceptualize configurations dynamically so that they express different development stages. Theoretically, our method is rooted in a complexity-informed understanding of cases describing trajectories through the property space. Trajectory-based qualitative comparative analysis works with both numerical and qualitative data. We will illustrate the method empirically by re-elaborating a well-known published time-sensitive qualitative comparative analysis study.
机译:定性比较分析最初是令人终止的,但自2000年代中期以来,使该方法更加敏感的努力。这些尝试主要关注跨壳差异,占属性或条件水平随时间的变化。虽然有用,但他们不能考虑到各个案例随着时间的推移也会发展。因此,有关“案例”发展的策略在定性比较分析(QCA)中仍然受到理论化。为了解决这一差距,我们提出了基于轨迹的定性比较分析(TJ-QCA)对多样性导向的方法的逻辑:在捕获基于案例的变化模式的发展阶段,仔细定义了有意义的内容变化。我们动态地概念化配置,使它们表达不同的开发阶段。从理论上讲,我们的方法植根于通过财产空间描述轨迹的案件的复杂性了解。基于轨迹的定性比较分析适用于数值和定性数据。我们将通过重新阐述众所周知的公布的时间敏感的比较分析研究来说明凭经验的方法。

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