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Pros And Cons Of Scientific Reliability And Validity

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Pros And Cons Of Scientific Reliability And Validity
Define scientific reliability and validity.
Reliability focuses on the consistency and stability of measurement. There are pros and cons to obtaining reliable measurements. One way to test reliability in a measure is to perform the same test on the same population multiple times which is called reliability coefficient (Branson,2014). Another way to test reliability is by randomly splitting test questions in half, administering, then look for consistencies, which is called split-half reliability (Feinberg, 2017). Consider that testing can be flawed based on the length of a test, the number of times the same test is administered to the same sample or the range of diversity questions listed on a test.
Validity focuses on the meaning of scores and research within a measurement test. Also, validity helps determine if the intended measurement is accurate and if testing applies to a specific population
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In addition, BDS has proven to be more effective based on its high-reliability rates in comparison to HDS which had low-reliability rates. Furthermore, the Beck depression scale questions correlate with the symptoms in the DSM-IV when in contrast, the Hamilton depression scale does not capture an accurate depression scale based on the DSM-IV, which questions the content validity. Content validity measures how well the questions are relevant to the measurable construct. As a social worker, we utilize the DSM-IV to help diagnosis a client and its comforting to know that the Beck depression scale questions reflect the symptoms described in the DSM-IV. The Beck depression scale mirror the DSM-IV for depression diagnosis (Hagan, 2007, p. 109). The Hamilton depression scale reflects several depression symptoms that are not reflected in the DSM-IV (Bagby, Ryder, Schuller, & Marshall, 2015, p.

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