BSSn4495: Qualitative research in security studies The comparative method March 8, 2022 Miriam Matejova, PhD Agenda • Theory vs methods • Qualitative vs. quantitative methods • The comparative method Theory vs. methods Quantitative vs. qualitative methods • Ragin: case-oriented vs. variable-oriented approaches – Case-oriented researchers: cases as meaningful but complex configurations of events and structures; singular, whole entities purposefully selected – Variable-oriented research: “homogeneous observations drawn at random from a pool of equally plausible selections” (Ragin 2004) Quantitative vs. qualitative methods (cont.) • Quantitative methods focus often on theory testing – BUT we also need concept creation, elaboration, refinement • The issue of conjunctural causation – in-depth investigations of individual cases can identify complex patterns of conjunctural causation Comparative research • Goals: – Causal analysis; – “Parallel demonstration of theory” (i.e., show that a theory explains the case); – “contrast of contexts” (i.e., show how different the cases are; how parallel processes play out in different contexts) The comparative method • When should we use the comparative method? • Purpose: primarily to test hypotheses; discover empirical relationships among variables – Could be used to build new theories • Good for: addressing spurious correlation The comparative method (cont.) • One of the four fundamental methods that can be used to test the validity of general empirical propositions (Lijphart 1971) • Methodology of comparison; a method or approach, not a technique • Focus on cases instead of variables alone • Usually involves small-N research Most Similar Systems (MSS) design/ Mill’s method of difference • Comparing similar cases that show different outcomes will make it easier to control for factors that are not the causal agent and isolate the independent variable that explains the presence or absence of the dependent variable. Most Different Systems (MSD) Design/ Mill’s method of agreement • Comparing very different cases that all have the same dependent variable will allow identification of a point of similarity between otherwise different cases → identification of the independent variable that is causing the outcome.