The comparative sequential method

Bibliographic Data

ID23364007
AuthorsTulia Gabriela Falleti (0000-0002-0995-4682, California University of Pennsylvania), James Mahoney (0000-0002-4913-4435, Northwestern University)
Year2015
Pages211-239
Publication date2015-07-02
Peer ReviewedYes
Open AccessYes
TypeCHAPTER
VenueAdvances in Comparative-Historical Analysis (SOURCE_BOOK)
PublisherCambridge University Press (PUBLISHER • US)
DOI10.1017/cbo9781316273104.009
OpenAlexW2345733018
ISBN9781316273104
LanguageEN
Citations received78
References cited55

Although comparative-historical analysis (CHA) is often understood to entail the comparison of a small to medium number of cases (usually countries or other macro units), we argue in this chapter that it may be more informative to say that this field involves the systematic comparison of sequences (Rueschemeyer and Stephens 1997). We suggest that a principal overarching methodology of comparative-historical analysis is the comparative sequential method (see Falleti 2010, 20–4). This method is defined by the systematic comparison of two or more historical sequences. In CHA, the “cases” studied nearly always are decomposed into sequences of events, and CHA causal claims rest upon the inferences derived from the analysis and comparison of those sequences. To take a classic example, Barrington Moore's (1966) main cases in Social Origins of Dictatorship and Democracy include countries such as England, France, the United States, and Germany. But these cases are studied as types of sequences of events that unfold over time. These sequences are the central units of comparison, and they provide the main basis for Moore's inferences about the causes of dictatorship and democracy. The comparative sequential method is an overarching methodology in the sense that it can and must encompass more specific methods of cross-case analysis and within-case analysis. The main cross-case methods include simple matching tools such as J. S. Mill's methods of agreement and difference as well as more complex tools such as statistical analysis and qualitative comparative analysis (QCA). The within-case methods include inductive process tracing and modes of hypothesis testing such as hoop tests and counterfactual analysis. In this chapter, we show how cross-case (in particular, Millian) methods and within-case (specifically, process tracing) are put to use to analyze and compare sequences of events in CHA. We argue that, depending on the kind of sequential argument, contrasting sets of methods are more or less appropriate – and more or less useful – as tools for analyzing sequences and carrying out causal assessment.

Advanced Causal Inference Techniques · Computer Science · Qualitative Comparative Analysis Research · Statistical Methods and Inference

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