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Reliability and validity are both important yet different qualities of any measure, including IQ tests. Reliability has a number of different meanings. Reliability might refer to test-retest reliability, which means that you don't get wildly different results each time you take a test. Reliability also refers to the consistency with which observers interpret your results. You would not want two physicians disagreeing about the results of a lab test for cancer. Standardized IQ tests, such as the Stanford-Binet and Wechsler, typically hold up well in assessments of their reliability.
Validity means that a measure measures what it is supposed to measure. In other words, does an IQ test really measure intelligence? Usually, validity is assessed by seeing if the results of a measure correlate with other similar measures. IQ scores and grades on academic work are positively correlated. Much of the debate surrounding IQ testing is due to different definitions of "intelligence" and discussions about what qualities an IQ test really measures.
It is possible for a measure to be reliable but not valid. For example, your bathroom scale might tell you every day that you weigh 150 pounds, but your scale might be broken and your true weight at the doctor's office is different. It is not possible, however, to have validity without reliability.
What else can I help you with?
What is the difference between a valid deductive argument and a fallacy?
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.
What is the difference between a valid or invalid argument?
An invalid argument is when the facts you are using are invalid or your forms of defense are wrong or incorrect, a valid argument is the opposite of an invalid argument. "There is a windmill in my beard. your argument is invalid." (This is a good example of a bad contradiction)
What are scientifically valid sample?
Scientifically valid samples are those that accurately represent the population being studied, ensuring that findings can be generalized. They should be selected using appropriate sampling methods, such as random sampling, to minimize bias. Additionally, sample size must be sufficient to provide reliable and statistically significant results. Valid samples also adhere to ethical standards and maintain the integrity of the research process.
What is the difference between continuous and discontinuous and discrete variables?
A continuous variable is a variable for which all possible representations are valid. A discrete variable is a variable for which only some representations are valid. Discontinuous variables apply to data sets where values recorded during particular periods are missing from the set.
Is a simple random sample valid?
Yes, a simple random sample is considered valid as it ensures that every member of the population has an equal chance of being selected. This randomness helps eliminate bias and allows for generalizations to be made about the larger population based on the sample. However, the validity of the results also depends on the sample size and the proper execution of the sampling method. Properly conducted, it provides a reliable foundation for statistical inference.
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.
Why it is important to distinguish valid and faulty generalizations?
Distinguishing between valid and faulty generalizations helps ensure that conclusions drawn from specific instances are accurate and reliable. Valid generalizations are based on sound reasoning and evidence, while faulty ones can lead to misinformation and unfair judgments. By being able to identify the difference, we can make better decisions and avoid stereotyping or making misleading assumptions.
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
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 ;-)
What is the difference between a valid trust and enforceable contract?
a valid trust is true and an enforcebale trust can be enforced
What is the difference between valid and 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.
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.
What is the difference between a valid deductive argument and a fallacy?
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.
What is the difference between valid and genuine?
The difference between genuine and original is very simple. Genuine is something that is real while original is the first of something.
