Definition, Logical Consistency, Testability And Empirical Validity Of A Theory?

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Although there are many theories that are evaluated, only some of them are considered good theories based on certain evaluation criterion that is met. Too be considered a good theory there are several evaluation criterion that need to be met such as the logical consistency, testability and empirical validity. The logical consistency has two elements, the scope and parsimony, both are interrelated. The scope of a theory refers to the range of explanation (Akers & Sellers, 2013, p. 5). If the scope of a theory is limited then the theory itself is limited. For example, if a theory only focuses on one crime rather than several crimes then the scope of the theory may be limited. In addition to scope, parsimony refers to “using as few concepts and propositions as possible to explain the widest range of phenomena” (Akers & Sellers, 2013, p. 5). With parsimony, it needs to be simple, but sufficient. An example of a theory with logical consistency is Deterrence Theory. Logical consistency is applicable to the theory because it recognizes that all crimes have threat/risk of punishment which leads to deterrence of committing crimes. As a result, the theory is simple, but also covers a wide range of phenomena, such as all crimes, that encompasses both a large scope and parsimony.
In addition to logical consistency, testability is an important piece when evaluating a theory. According to Akers & Sellers (2013), “a theory must be testable by objective, repeatable evidence” (p.5); thus, if the theory is not testable then it has no scientific value. There are several reasons why a theory might not be testable; such as its concepts may not be observable or reportable events and tautology. Tautology refers to a statement or hypothesis that is tr...

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...eled a criminal (X) renders the occurrence of them continuing that lifestyle (Y) more probable.
In addition to theories causality, the quality of the empirical test is important. A theory that doesn’t measure the independent and dependent variables correctly could cause inadequate methodological quality. Also, it could cause issues with hypothesising. Furthermore, if the theory doesn’t collect enough data from a related, large and diverse sample then the theory is insufficient. All of these pieces correlate to contribute to a sufficient empirical test. For example, if a theory suggests all men who grow up in a violent house hold will commit violent acts in the future, but doesn’t collect data from a large enough population or includes women in the study then their empirical testing could be insignificant, which would lead to the theory not being empirically valid.

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