A) validity is more critical to measurement than reliability b) content validity is the most difficult type of validity to determine c) a valid measurement is reliable, but a reliable measurement may not be valid. Refers to whether or not the test measures what it claims to measure on a test with high validity the items will be closely linked to the test's intended focus. This measure is reliable, but no valid (that is, it's consistent but wrong) the second, shows hits that are randomly spread across the target you seldom hit the center of the target but, on average, you are getting the right answer for the group (but not very well for individuals. For example, if a set of weighing scales consistently measured the weight of an object as 500 grams over the true weight, then the scale would be very reliable, but it would not be valid (as the returned weight is not the true weight) for the scale to be valid, it should return the true weight of an object. High quality instruments are useful tools for clinical and research purposes to determine whether an instrument has high quality, measurement properties such as reliability and validity need to be assessed, using standardised criteria.
However, if the scale is not working properly, this number may not be your actual weight if that is the case, this is an example of a scale that is reliable, or consistent, but not valid for the scale to be valid and reliable, not only does it need to tell you the same weight every time you step on the scale, but it also has to measure your. A test cannot be valid if it's not reliable if the test is not reliable, that means it gives different results every time i do it if it keeps giving different results, it cannot possibly be. Validity and reliability a measure is valid if it actually measures the concept we are attempting to measure it is reliable if it consistently produces the same result. A valid test is always reliable but a reliable test is not necessarily valid posted on november 29, 2011 by alhoward reliability and validity are two important characteristics of any measurement procedure.
Construct validity is used to ensure that the measure is actually measure what it is intended to measure (ie the construct), and not other variables using a panel of experts familiar with the construct is a way in which this type of validity can be assessed. Generally, if the reliability of a standardized test is above 80, it is said to have very good reliability if it is below 50, it would not be considered a very reliable test validity refers to the accuracy of an assessment -- whether or not it measures what it is supposed to measure. For example, isokinetic testing is very reliable in measure peak torque, however it may not be a valid measure of functional strength an instrument may be very valid but lack reliability goniometric measurement of range of motion is a very valid measure of joint range of motion, but it has a low inter-rater reliability. Validity is a bit more complex because it is more difficult to assess than reliability there are various ways to assess and demonstrate that an assessment is valid, but in simple terms, validity refers to how well a test measures what it is supposed to measure. The reliability and validity of a measure is not established by any single study but by the pattern of results across multiple studies the assessment of reliability and validity is an ongoing process.
A measurement maybe valid but not reliable, or reliable but not valid suppose your bathroomscale was reset to read 10 pound lighter the weight it reads will be reliable(the same every time you step on it) but will not be valid, since it is notreading your actual weight. Validity and reliability of measurement instruments are valid and reliable to measure such con- report the reliability and validity of measurements used. For a measurement to be considered valid, it must be reliable even when a measurement yields consistent results (making it reliable), it may not measure what we want it too (& therefore lack validity.
A measurement instrument could, however, be reliable and not valid in that it could yield consistent measurement readings, but be measuring the wrong thing reliability is about consistency in results, but validity is about accurately targeting the right thing to measure. A valid measurement may not be particularly accurate but if a decision is to be based on how an observed situation compares with a standard, then a valid measurement will have sufficient accuracy to meet the user's need. Best answer: reliability is the extent to which a test is repeatable and yields consistent scores note: in order to be valid, a test must be reliable but reliability does not guarantee validity. A valid measurement is reliable but a reliable measurement may not be valid introduction wrong or inaccurate measurements can lead to wrong decisions, which can have serious consequences, costing money and even lives.
Measurement is an important part of the scientific process the key aspects concerning the quality of scientific measures are reliability and validity reliability is a measure of the internal. A valid measure is not necessarily reliable, but more importantly, a valid measure does not imply it must be unreliable, which is what (a) states in essence, you are misinterpreting the word cannot to mean might not.