Using Magnitude Estimation Scaling to Examine the Validity of Nursing Diagnoses

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Abstract
This paper describes the use of magnitude estimation scaling in the validation of the critical defining characteristics of nursing diagnoses. Magnitude estimation is a sensitive and accurate technique producing ratio level scales that offer advantages over ordinal level scales frequently used in validating nursing diagnoses. Magnitude estimation responses permit a consensus pattern to be achieved by producing stable and repeatable judgments to validate the importance of each sign and symptom investigated. Thus, magnitude estimation shows promise as a methodologic strategy for validating the critical defining characteristics of nursing diagnoses, thereby expanding the effort to identify and classify nursing phenomena.