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An instrument can be reliable but not valid when it consistently produces the same results under the same conditions, indicating stability and precision, but does not measure what it is intended to measure. For example, a scale that consistently weighs a person's mass the same way might be reliable, but if it is incorrectly calibrated and always adds five pounds, it is not valid for assessing true weight. Thus, while the results are dependable, they do not accurately reflect the intended construct.

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1mo ago

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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 ;-)


Is a reliable test necessarily valid?

In my view reliable test is always valid.


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


A test may be reliable but not necessarily validIs it possible for a test to be valid but not reliable?

A test may be reliable but not valid. A test may not be valid but not reliable. For example, if I use a yard stick that is mislabeled to measure the distance from tee to hole in golf on different length holes, the results will be neither reliable nor valid. If you use the same stick to measure football fields that are the same length the result will reliable (repeatable, consistent) but not valid (wrong numbers of yards). There is no test that is unreliable (repeatable, consistent) and valid (measures what we are looking for).


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 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.


How important is instrument precision in ensuring accurate measurements in scientific experiments?

Instrument precision is crucial for accurate measurements in scientific experiments. Precise instruments help minimize errors and ensure reliable data, leading to more valid and trustworthy results.


Does a post dated check comply with the definition of a check and is such a check a valid negotiable instrument?

no it does not complt with the definition of a cheque and its not a valid negotiable instrument


Why is it still necessary to validate research instrument though testing its reliability has been done?

Validation of research instruments is necessary even after testing its reliability because it is the only way to ensure that the results of the study are accurate and meaningful. Validation involves collecting data from research participants examining it and analyzing it to determine if the instrument is measuring what it was designed to measure. Validation is also the only way to ensure that the instrument is reliable and that the results are trustworthy and valid. Here are a few reasons why it is still necessary to validate research instruments even after testing its reliability: Validation helps to ensure that the results of the study are accurate and meaningful. Validation helps to determine if the instrument is measuring what it was designed to measure. Validation ensures that the instrument is reliable and that the results are trustworthy and valid. Validation helps to identify potential sources of bias in the instrument or the data. Validation helps to identify any gaps or weaknesses in the instrument or the data.Validation is an important step in the research process as it helps to ensure that the results of the study are valid and can be trusted. Without validation it is impossible to know if the research instrument is measuring what it was designed to measure and whether the results are reliable and trustworthy.


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.


What does a reliable experiment mean?

A reliable experiment is one that can be proven or has been worked out several times giving valid or dependable results.


Psychological tests that yield relatively consistent results are said to be?

valid