By I. Rohlfing
A dialogue of the case examine technique which develops an integrative framework for causal inference in small-n study. This framework is utilized to analyze layout initiatives comparable to case choice and approach tracing. The publication offers the fundamentals, cutting-edge and arguments for bettering the case examine procedure and empirical small-n learn.
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One salient difference rests in case selection because it follows different rationales and purposes (to be discussed in Chapter 3). However, principled arguments and an empirical example underscore an important similarity between frequentism and Introduction 19 Bayesianism, namely that, ceteris paribus, causal inferences are always more credible the larger the number of confirming observations. 24 In addition to a comparison of frequentism and Bayesianism, Chapter 8 includes a full exposition of Bayesian case in a simple and slightly formalized perspective.
4, the link between landholding inequality and perceived threat is one mechanism (however it is labeled), the tie between perceived threat and capture a second mechanism, the connection between capture and loyalty the third mechanism, and the connection between loyalty and electoral fraud the fourth one. The previous discussion of three different conceptions of mechanismic explanations conveys three important insights for causal inference on mechanisms. First, given that the same cross-case phenomenon can be underpinned with three different kinds of mechanismic explanations, is one of the three superior to the other two?
Second, for each of the intervening steps, information is gathered from different sources that, although related to the same step, yields noncomparable pieces of evidence. For instance, one could derive information about the perceived threat of democratization from the records of landowners or articles published in contemporary newspapers. Information about the second intervening step could also be gathered from landowners’ records and from staff records of local administrations. An indication of the influence of landowners on the staffing process would be an increase in the number of local landed nobility, that is, people from the landowner’s staff in the local administration (Ziblatt 2009, 14).
Case Studies and Causal Inference: An Integrative Framework by I. Rohlfing