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.
Validity refers to the extent to which a test measures what it claims to measure, while reliability refers to the consistency and stability of the results obtained from a test. In other words, validity is about accuracy, and reliability is about consistency. A test can be reliable without being valid, but it cannot be valid if it is not 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.
"valid" is used when something is proved to be true... "reliable" is based on past preference and known for the correctness or truthfullness of the person, place, or thing
when there are errors in sampling design, such as biases in selecting participants or a non-representative sample, which can lead to inaccurate results.
Reliable communication involves consistent delivery of information with accuracy and integrity, fostering trust and understanding between parties. Unreliable communication, on the other hand, lacks consistency, accuracy, or integrity, leading to misunderstandings, confusion, and breakdowns in relationships.
The most important part of data collection is ensuring the accuracy and quality of the data being collected. This involves following proper protocols, using reliable sources, and validating the data to ensure it is valid and reliable for analysis.
Weber stressed the importance of objectivity in social research. He believed that researchers should strive to remain impartial and free from bias in their observations and analysis in order to produce valid and reliable results.
The teenage years typically show the greatest difference between males and females in terms of physical and psychological development. This can be attributed to the hormonal changes and growth spurts that occur during this period, leading to noticeable disparities between males and females in areas such as height, muscle mass, and emotional maturity.
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.
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.
In my view reliable test is always valid.
Is it possible for an operational definition to be valid but not reliable
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 ;-)
a valid trust is true and an enforcebale trust can be enforced
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.
A valid deductive argument will have a valid premise and conclusion and a fallacy may be true, it all matters on how you came to the conclusion.
The difference between genuine and original is very simple. Genuine is something that is real while original is the first of something.
a accurate result would be true as possible but a reliable result would be one that is compared
the main difference between UDP and TCP is that UDP is not a reliable protocol.
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.