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A test may be reliable but not necessarily validIs it possible for a test to be valid but not reliable?
Wiki User
∙ 14y ago
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).
Wiki User
∙ 14y ago
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Is validity is a prerequisite of reliability?
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.
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.
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).
Why research should be valid and reliable?
Valid and reliable research ensures that the findings are accurate and trustworthy. Validity ensures that the study measures what it intends to measure, while reliability ensures that the results can be replicated and are consistent over time. Valid and reliable research is essential for building knowledge, making informed decisions, and driving future research.
It has been stated that intelligence tests are reliable but not valid?
This assertion suggests that intelligence tests consistently measure the same trait (reliability), but may not accurately measure what they intend to (validity). In other words, while the results may be consistent, they may not necessarily reflect the true level of intelligence of an individual.
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
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.
Is validity is a prerequisite of reliability?
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.
Do conclusions that are not logically supported invalidate the entire study?
Not necessarily. A conclusion can still be valid if there is no logically possible solution where the premise is true and the conclusion is false.
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.
Explain how you can make a reliable and a valid investigation?
To ensure a reliable investigation, use a rigorous and systematic approach, including clearly defining the research question, collecting data accurately, and analyzing the information thoroughly. To establish validity, ensure that the chosen research methods and tools are appropriate for addressing the research question and that the data collected accurately reflects the phenomenon being studied. It is also important to consider potential biases, confounding variables, and limitations of the study to enhance the validity of the investigation.
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 ;-)
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).
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.
In reasoning the conclusion derived from the premise is likely to be valid but is not necessarily so?
Inductive
