how to validate the reliability and accuracy of information

Unfortunately, face validity is arguably the weakest form of validity and many would suggest that it is not a form of validity in the strictest sense of the word. recommended a minimally acceptable Kappa of 0.60 for inter-rater agreement. Then the collected data is analysed using Cohen’s Kappa Index (CKI) in determining the face validity of the instrument. Where favourable item means that the item is objectively structured and can be positively classified under the thematic category. In order to examine the face validity, the dichotomous scale can be used with categorical option of “Yes” and “No” which indicate a favourable and unfavourable item respectively. In other words, face validity refers to researchers’ subjective assessments of the presentation and relevance of the measuring instrument as to whether the items in the instrument appear to be relevant, reasonable, unambiguous and clear. It evaluates the appearance of the questionnaire in terms of feasibility, readability, consistency of style and formatting, and the clarity of the language used. That is, a test has face validity if its content simply looks relevant to the person taking the test. Face validity is the degree to which a measure appears to be related to a specific construct, in the judgment of non-experts such as test takers and representatives of the legal system. Face Validityįace validity is a subjective judgment on the operationalization of a construct. Validity basically means “measure what is intended to be measured”. It refers to the measuring procedure rather than to the attribute being measured.Validity explains how well the collected data covers the actual area of investigation. Reliability: A measure of how dependably an observation is exactly the same when repeated. Lack of validity is referred to as ‘ Bias‘ or ‘ systematic error‘. Internal validity: Are the results valid for the study subjects?Įxternal validity (Generalizability): Are the results valid for the population from which the sample was drawn? Simply put: Are the values describing what was supposed to be measured? Validity: The extent to which the study measures what it is intended to measure. Lack of precision is referred to as ‘ random error‘. Simply put: How close the measurements are to each other Precision: The degree of resemblance among study results, were the study to be repeated under similar circumstances. Simply put: How close a measurement is to the true value

In public health the terms accuracy, precision, validity and reliability mean the following:Īccuracy: The degree to which a measurement represents the true value of something.

How to validate the reliability and accuracy of information