A measure of how consistently a result is determined by repeated evaluations is called reliability. Reliability assesses the stability and consistency of a measurement or assessment over time. High reliability indicates that the results are reproducible under similar conditions, while low reliability suggests variability and potential inaccuracies.
False, that's precision.
You need a very sensitive scale to measure 4mg reliably and consistently. If possible you could make a homogeneous mixture with some inert ingredient and get a larger sample to weigh, making errors less pronounced. I.e. you could mix 1 gram into 999 grams of inert stuff, then measure 400 milligrams of the mixture to get 4 mg of the desired substance. (dilution in a liquid is another means of accomplishing the same thing).
To determine if a test measures what it is supposed to measure, one must evaluate its validity. This involves examining whether the test effectively assesses the intended construct, such as through content validity, criterion-related validity, and construct validity. Additionally, analyzing test results and comparing them with established benchmarks or outcomes can provide insights into its effectiveness. If the test consistently correlates with relevant criteria and accurately reflects the targeted concept, it can be considered valid.
A valid measure accurately captures what it intends to assess, meaning it reflects the true construct or phenomenon. Because a valid measure consistently produces accurate results, it inherently exhibits reliability, as reliability refers to the consistency and stability of measurements over time. However, not all reliable measures are valid, as they may yield consistent results without accurately measuring the intended construct. Thus, while all valid measures are reliable, the reverse is not necessarily true.
Something can be reliable but not valid when it consistently produces the same results or measurements, yet does not accurately measure what it is intended to measure. For example, a clock that is stuck at 3 PM will reliably show that time, but it is not valid for determining the current time. In essence, reliability refers to consistency, while validity pertains to accuracy and relevance. Thus, a reliable tool can yield consistent results that are nonetheless incorrect or irrelevant.
False
precision
False
precision
The measure of how consistently a result is determined by repeated evaluations is called reliability. It assesses the dependability and stability of a measurement tool in producing consistent results over time.
False, that's precision.
The easy way: Pour the water into a graduated container, like a graduated cylinder, and read the volume directly. The hard way: Calculate the volume of a regularly shaped container (cylindrical or rectangular). Pour the water into the container. Measure the height of the water in the container. Calculate the volume of the unfilled portion of the container. Subtract this volume from the total volume of the container.
A quiz is a form of game or mind sport in which the players (as individuals or in teams) attempt to answer questions correctly. So one can see how his or her knowledge measures up. In practice, testing measures are never perfectly consistent. [ So tests/quizzes do not perfectly consistently measure what they are supposed to measure.
It is supposedly tested by taking an IQ test. However there has been significant questions about the reliability and potential cultural bias on these tests (e.g. people of western European ancestry consistently test higher than people from other cultural backgrounds, also poor people consistently test lower than the rest of the population). In my opinion the only thing IQ tests measure reliably is the ability to score high on IQ tests, and they only very loosely correlate with actual intelligence. I doubt that any test exists that actually measures a person's true intelligence.
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.
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.
A physician examining a patient suspected of having carpal tunnel syndrome will perform a variety of simple tests to measure muscle strength and sensation in the affected hand and arm.