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Is a reliable test necessarily valid?
In my view reliable test is always valid.
Why is it possible to have a reliable measure that is not valid but impossible to have a valid measure that is not reliable?
A test can be reliable and not valid. A test cannot be valid and not reliable.
A test may be reliable but not necessarily validIs it possible for a test to be valid but not reliable?
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.
What is the difference between a valid test and a reliable test?
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.
Can a test be reliable and yet not valid?
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.
Give an example of how a test may be reliable but not valid?
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).
Is it possible for an operational definition to be valid but not reliable?
Is it possible for an operational definition to be valid but not reliable
What is the difference between valid and reliable?
I think that with reliability we mean that the plans tha you propose are based on some spesific and realistic elements. With validity I think that we mean that these elements are true and modern.
How can you tell if a test is reliable?
You can tell that a test is reliable when many can take it and it holds up. A reliable test can't be biased, and it must measure what it says it's going to measure. A reliable test stands up when compared to other tests.
Why do Scientists repeat experiments and compare results to test whether a conclusion is reliable or valid?
So they can be sure that the data they are releasing to the rest of the scientific community and world is actually correct.
Sampling techniques can provide statistically reliable and valid survey results except?
Sampling techniques can provide statistically reliable and valid survey results except haphazard sampling.
What is the difference between slection crieteria and validity and reliability?
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 ;-)
