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Related Concept Videos

Qualitative Analysis03:46

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For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
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Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design
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Case selection and causal inferences in qualitative comparative research.

Thomas Plümper1, Vera E Troeger2, Eric Neumayer3

  • 1Department of Socioeconomics, Vienna University of Economics and Business, Vienna, Austria.

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Qualitative comparative research can now infer causality using counterfactuals, not just regularity. The study shows that the case-selection algorithm significantly impacts the reliability of these causal inferences.

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Area of Science:

  • Social Sciences
  • Causal Inference Methodology

Background:

  • Traditional social science viewed causality as regularity, limiting qualitative case studies.
  • A shift towards counterfactual definitions of causality revives qualitative comparative research.

Purpose of the Study:

  • To assess the impact of case-selection algorithms on causal inference validity in qualitative comparative research.
  • To identify reliable and unreliable case-selection rules for causal inference.

Main Methods:

  • Utilized Monte Carlo simulations to evaluate different case-selection algorithms.
  • Analyzed the ex ante reliability of various case-selection rules for causal inference.

Main Results:

  • Demonstrated significant differences in the reliability of various case-selection rules.
  • Identified specific case-selection rules that are most and least reliable for valid causal inferences.

Conclusions:

  • The choice of case-selection algorithm is critical for the validity of causal inferences in comparative case studies.
  • Understanding and selecting appropriate case-selection rules enhances the rigor of qualitative causal research.