ORDER A CUSTOM-WRITTEN, PLAGIARISM-FREE PAPER HEREĮCG analysis requires a systematic approach that includes knowledge of the patient’s age, sex, and race and presenting complaint/symptom. importance of validity and reliability in diagnostic testing or research essay. The basic idea of performing a diagnostic test is to increase (or decrease) the suspicion that a patient has a particular disease, to the extent that a management decision can be appropriated.
#Importance of validity and reliability free
The ability of a test to correctly classify an individual as disease- free is called the test′s specificity (Parikh, et al, 2008). Parikh, et al (2008) describe sensitivity as the ability of a test to correctly classify an individual as ′diseased′. Validity is measured by sensitivity and specificity (Parikh, Mathai and Thomas, 2008). Validity is the extent to which a test measures what it is supposed to measure in other words, it is the accuracy of the test. A valid measure reflects what it is intended to reflect, and one can feel confident that there is no systematic error in this measure (Gleason, et al, 2010). Thus, variables or measures used in research must be valid as well as reliable.
A measurement process that yields a consistent value when repeated is not useful if that value does not accurately reflect the underlying characteristic or outcome it is intended to measure. It is not sufficient for a measure to just be reliable. With a reliable measure, one can feel confident that its value is not unduly influenced by some idiosyncratic aspect of the measurement process. If a measure is reliable, that means its value would have been approximately the same even if some aspect of the measurement had been different, such as being completed at a different time or by a different observer or rater (Gleason, et al, 2010). Importance of validity and reliability in diagnostic testing or research essayĪccording to Gleason, Harris, Sheean, Boushey and Bruenner (2010), reliability and validity allow us to answer the question of whether the measurement process used in a study produces consistent and accurate information.
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