a biased sample is valid determin
valid.
No. A hectare is a measure of are, a kilometre is a measure of distance. Conversion from one to the other is not valid.
There is no valid conversion - meter is a measure of distance while cc (cubic centimeter) is a measure of volume.
This is not a valid conversion because cubic meters is a measure of volume while mm is a measure of length or distance.
In my view reliable test is always valid.
A reliable measure is consistent and yields consistent results, so it may not be measuring the intended construct accurately (lack validity). On the other hand, a valid measure accurately assesses the intended construct, but it must be consistent and produce stable results (reliable) to ensure that the measurements are dependable and trustworthy.
No, for a test to be valid, it must also be reliable. Reliability refers to the consistency of the test results, while validity refers to the accuracy of the test in measuring what it is supposed to measure. A test cannot be valid if it is not reliable.
Social and Medical sciences uses these statistical concepts. ideally, we have to measure the same way each time, but intrasubject, interobserver and intraobserver variance occur, so we have to anticipate and evaluate them. In short, it is the repeatability of a measurement, by you, myself and everybody person or instrument. Validity is how much the mean measure that we got is near of the true answer or value. So, an instrument can be reliable but not valid, valid but not reliable, both valid and reliable, nor valid neither reliable. I suggest that you imagine a target: you can aim and 1) always get the center (both valid and reliable) 2) always get the same distant point (reliable but not valid) 3) err much around the true center (valid but not reliable - the mean and median of your arrow's shot will get the center) 4) err much around the another center, false one (nor valid neither reliable) I did not understood exactly what selection criteria have to do with the rest of question, so, left in blank ;-)
Reliable indicates that each time the experiment is conducted, the same results are obtained (accuracy). Valid indicates the experiment (or test) has controlled variables and used an appropriate method/model.
No, validity is not a prerequisite of reliability. Reliability refers to the consistency or stability of a measure, while validity refers to the accuracy of the measure in assessing what it is intended to assess. A measure can be reliable but not valid, meaning it consistently measures something but not necessarily what it is intended to measure.
Is it possible for an operational definition to be valid but not reliable
A bathroom scale that consistently shows your weight as 10 pounds less than your actual weight, but always produces the same result when you step on it multiple times, can be considered reliable (consistent) but not valid (accurate).
Katrina Ann Wearn has written: 'The appropriateness of customer satisfaction as a valid and reliable measure of public sector quality'
A test may be reliable yet not valid, The results can end up being reliable, in other words certain to have yielded properly based on input. But the results may not be trustworthy.
Many people do find shopping spout to be a reliable resource when it comes to Evan's coupons. It is important to always look over the coupons to be sure they are valid and not past the expiration date.
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