It refers to the measuring procedure rather than to the attribute being measured. ![]() 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‘. If the collected data shows the same results after being tested using various methods and sample groups, the information is reliable. 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. For example, if you want to study the attitudes of college students toward online learning, you need. Lack of precision is referred to as ‘ random error‘. Sampling validity refers to how well your sample represents the population you want to study. 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.
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