No
A valid test is not always a reliable test. Validity refers to whether a test measures what it claims to measure, while reliability refers to the consistency of test results over time. For example, a test designed to measure mathematical ability may be valid if it accurately assesses math skills, but if the test yields vastly different scores when taken multiple times by the same individual, it lacks reliability. Thus, a test can be valid in content but still unreliable in execution.
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).
Yes, a test can be valid but not reliable. Validity refers to how well a test measures what it is intended to measure, while reliability pertains to the consistency of the results when the test is administered multiple times. For instance, if a test accurately assesses a specific skill but produces different scores each time it's taken, it is considered valid but unreliable. This scenario highlights that a test can effectively measure what it aims to measure, yet lack stability in its results.
In my view reliable test is always valid.
The polygraph test is not "proof-positive". The polygraph test is not completely unreliable.
No it is a urine test to look for heavy alcohol consumption. It is pretty unreliable though.
There is no such valid test, so I would definitely question it.
Yes, it would be a valid 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.
No
Yes sure. It is valid. It will shows the how fast you are thinking.
To be valid, an experiment must not include bias, confounding variables, or unreliable measures in order to accurately assess the cause-and-effect relationship between variables.