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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