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Theory-testing with cases is the process of ascertaining whether the empirical evidence in a case or in a sample of cases either supports or does not support a given theory. There are two methodologies for theory-testing with cases: (1) testing in a single case (theory-testing single case study) and (2) testing in a sample of cases (theory-testing sample case study). The functional form of the proposition that is tested determines which of these two methodologies should be used.

Conceptual Overview and Discussion

Two Types of Proposition

There are two types of proposition: (1) about characteristics of single cases and (2) about differences between cases.

Propositions about Characteristics of Single Cases

Examples of propositions about characteristics of single cases are necessary condition propositions and sufficient condition propositions. The presence (or absence) of such a condition can be observed in a single case. Process theory statements are a subtype of necessary condition statements that state that specific sequences of events are necessary for an outcome to occur: “The process outcome is present only if the sequence of events X1-X2-X3-and so forth. is present.” The single case study is the appropriate strategy for the testing this type of proposition.

Propositions about Differences between Cases

An example of a proposition about differences between cases is a proposition that expresses a linear relationship between an independent and a dependent variable. Such a relationship can be observed only in a population of cases, not in a single case. The sample case study is a strategy for testing this type of proposition.

Application

This section discusses the theory-testing single case study and sample case study.

Theory-Testing Single Case Study

Many theories have the form “X results in Y,” or “X contributes to Y,” or “X affects Y,” and so on, in which X is, for example, something that an actor can or cannot do (or a situation or occasion or event that can occur or not occur) and Y is the desired outcome of that action. There are two fundamentally different ways of interpreting such a theoretical statement. Usually, it is meant as a statement that explains differences between cases in the value of one (dependent) variable, Y, by relating them to differences in the values of another (independent) variable, X: “If there is more X, then there is more Y.” Often, however, such a statement is meant to identify X as an important (“critical” or “crucial”) condition that should be present in order to make Outcome Y possible. The intended meaning is that Y is very unlikely to occur if X is absent or, in other words, that Y normally is not possible without the presence of X. This is a necessary condition hypothesis (“Y only if X”). The presence of the necessary condition means that the outcome has become possible, but it does not guarantee that the outcome will occur (which would imply that the condition is sufficient). The concept of a necessary condition must not be confused with a sufficient condition.

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